21 of	artificial	intelligence
     14 artificial	intelligence	AI
     13 artificial	intelligence	is
      7 on	artificial	intelligence
      7 intelligence		
      7 artificial	intelligence	will
      7 artificial	intelligence	and
      7 artificial	intelligence	
      7 an	artificial	intelligence
      6 in	artificial	intelligence
      6 for	artificial	intelligence
      6 artificial	intelligence	research
      6 artificial	intelligence	has
      5 York	edition	with
      5 with	the	headline
      5 Today	s	Paper
      5 the	New	York
      5 s	Paper	Subscribe
      5 s	artificial	intelligence
      5 of	the	New
      5 New	York	edition
      5 edition	with	the
      5 artificial	intelligence	to
      5 alternate	alternate	alternate
      4 the	future	of
      4 the	artificial	intelligence
      4 of	A	I
      4 Feed	alternate	alternate
      4 Comments	Feed	alternate
      4 artificial	intelligence	The
      4 and	artificial	intelligence
      4 A	I	is
      3 White	House	s
      3 use	artificial	intelligence
      3 under	artificial	intelligence
      3 to	regulate	artificial
      3 to	A	I
      3 the	White	House
      3 the	next	decade
      3 the	main	story
      3 The	Denver	Post
      3 the	A	I
      3 Tags	artificial	intelligence
      3 Subscribe		
      3 some	of	the
      3 robots	artificial	intelligence
      3 risks	of	artificial
      3 regulate	artificial	intelligence
      3 reading	the	main
      3 Post	Feed	The
      3 Post	Comments	Feed
      3 Paper	Subscribe	
      3 over	the	next
      3 one	of	the
      3 new	report	from
      3 it	will	be
      3 intelligence	research	lab
      3 implications	of	artificial
      3 how	artificial	intelligence
      3 Google	s	artificial
      3 Filed	under	artificial
      3 Feed	The	Denver
      3 do	the	same
      3 Denver	Post	Feed
      3 Denver	Post	Comments
      3 Continue	reading	the
      3 Comments	Feed	The
      3 chief	executive	of
      3 benefits	and	risks
      3 artificial	intelligence	today
      3 artificial	intelligence	that
      3 artificial	intelligence	says
      3 artificial	intelligence	can
      3 artificial	intelligence	as
      3 and	risks	of
      3 an	A	I
      3 about	the	future
      3 A	new	report
      3 a	model	of
      2 workshops	around	the
      2 with	the	White
      2 with	artificial	intelligence
      2 with	a	pen
      2 will	tackle	some
      2 will	include	advancing
      2 will	be	able
      2 we	don	t
      2 was	inscribed	into
      2 version	of	this
      2 various	definitions	but
      2 using	artificial	intelligence
      2 uses	data	to
      2 used	for	artificial
      2 US	constitution	with
      2 undermined	by	computer
      2 Topics	Artificial	intelligence
      2 too	many	of
      2 to	the	citizens
      2 to	spend	240
      2 to	master	the
      2 to	due	process
      2 to	create	an
      2 to	build	a
      2 to	artificial	intelligence
      2 Threat	of	Artificial
      2 those	systems	are
      2 This	doesn	t
      2 they	hold	power
      2 them	with	the
      2 the	world	s
      2 the	US	constitution
      2 the	term	artificial
      2 the	social	implications
      2 the	same	thing
      2 The	right	to
      2 the	Obama	administration
      2 the	number	of
      2 the	Human	Era
      2 the	hardware	software
      2 the	End	of
      2 the	economic	and
      2 the	country	on
      2 the	citizens	they
      2 the	benefits	and
      2 the	ancient	Chinese
      2 the	Allen	Institute
      2 the	age	of
      2 that	uses	data
      2 that	studies	the
      2 That	s	where
      2 that	it	is
      2 that	can	engage
      2 that	A	I
      2 Tesla	and	SpaceX
      2 term	artificial	intelligence
      2 tackle	some	of
      2 systems	that	are
      2 systems	are	opaque
      2 Subscribe	Continue	reading
      2 studies	the	social
      2 story		
      2 spend	240	million
      2 SpaceX	CEO	Elon
      2 some	aspect	of
      2 software	and	algorithms
      2 social	implications	of
      2 series	of	workshops
      2 self	driving	cars
      2 Science	and	algorithms
      2 says	too	many
      2 said	that	the
      2 said	artificial	intelligence
      2 s	Office	of
      2 s	A	I
      2 robotics	artificial	intelligence
      2 right	to	due
      2 researchers	in	artificial
      2 researchers	at	DeepMind
      2 research	lab	at
      2 research	institute	at
      2 Reprints	Today	s
      2 report	from	leading
      2 programs	that	can
      2 program	that	uses
      2 process	was	inscribed
      2 power	over	In
      2 planning	to	spend
      2 pen	A	new
      2 partner	on	artificial
      2 part	of	the
      2 Paper	Subscribe	Continue
      2 over	In	2016
      2 over	artificial	intelligence
      2 Our	final	invention
      2 Our	Fear	of
      2 Order	Reprints	Today
      2 opaque	to	the
      2 one	of	them
      2 on	the	benefits
      2 on	A	I
      2 Office	of	Science
      2 of	workshops	around
      2 of	those	systems
      2 of	them	with
      2 of	the	Human
      2 of	the	game
      2 of	the	economic
      2 of	some	aspect
      2 of	Science	and
      2 of	intelligent	machines
      2 Obama	administration	held
      2 NYU	that	studies
      2 Now	cohosted	one
      2 now	being	undermined
      2 next	decade	to
      2 model	of	some
      2 MIT	partner	on
      2 MIT	Its	mission
      2 mission	will	include
      2 million	over	the
      2 means	a	program
      2 master	the	ancient
      2 many	of	those
      2 main	story	
      2 leading	researchers	in
      2 lab	at	MIT
      2 keep	it	in
      2 Its	mission	will
      2 it	means	a
      2 it	is	now
      2 It	also	will
      2 is	planning	to
      2 is	now	being
      2 invention	Artificial	intelligence
      2 into	the	US
      2 into	artificial	intelligence
      2 intelligent	machines	and
      2 intelligence	will	make
      2 Intelligence	Today	s
      2 intelligence	systems	that
      2 intelligence	says	too
      2 intelligence	It	also
      2 intelligence	is	the
      2 intelligence	is	not
      2 Intelligence	has	various
      2 intelligence	Elon	Musk
      2 intelligence	cautions	it
      2 Intelligence	as	a
      2 Intelligence	and	the
      2 intelligence	AI	Now
      2 Institute	for	Artificial
      2 institute	at	NYU
      2 inscribed	into	the
      2 include	advancing	the
      2 in	the	age
      2 in	print	on
      2 in	general	it
      2 in	A	I
      2 In	2016	the
      2 implications	of	intelligent
      2 IBM	is	planning
      2 IBM	and	MIT
      2 huge	amounts	of
      2 How	to	Regulate
      2 House	s	Office
      2 hold	power	over
      2 held	a	series
      2 have	to	be
      2 has	various	definitions
      2 hardware	software	and
      2 general	it	means
      2 game	of	Go
      2 future	of	artificial
      2 from	leading	researchers
      2 for	A	I
      2 final	invention	Artificial
      2 field	of	A
      2 Fear	of	Artificial
      2 ethics	of	artificial
      2 ethical	implications	of
      2 End	of	the
      2 Elon	Musk	recently
      2 Elon	Musk	has
      2 Elon	Musk	and
      2 economic	and	ethical
      2 due	process	was
      2 driving	cars	artificial
      2 doesn	t	mean
      2 develop	A	I
      2 definitions	but	in
      2 decade	to	create
      2 days	to	master
      2 data	to	build
      2 create	an	artificial
      2 country	on	the
      2 constitution	with	a
      2 computer	programs	that
      2 computer	code	research
      2 coined	the	term
      2 cohosted	one	of
      2 code	research	institute
      2 citizens	they	hold
      2 Chinese	board	game
      2 CEO	Elon	Musk
      2 cautions	it	is
      2 cars	artificial	intelligence
      2 can	engage	in
      2 by	computer	code
      2 by	artificial	intelligence
      2 but	in	general
      2 build	a	model
      2 being	undermined	by
      2 be	able	to
      2 at	NYU	that
      2 at	MIT	Its
      2 at	artificial	intelligence
      2 aspect	of	the
      2 artificial	intelligence	with
      2 artificial	intelligence	systems
      2 artificial	intelligence	revolution
      2 Artificial	Intelligence	Opinion
      2 artificial	intelligence	Musk
      2 artificial	intelligence	It
      2 artificial	intelligence	in
      2 artificial	intelligence	Elon
      2 Artificial	intelligence	could
      2 artificial	intelligence	company
      2 artificial	intelligence	cautions
      2 artificial	intelligence	before
      2 artificial	intelligence	because
      2 artificial	intelligence	are
      2 artificial	intelligence	a
      2 around	the	country
      2 are	opaque	to
      2 appears	in	print
      2 and	the	End
      2 and	SpaceX	CEO
      2 and	MIT	partner
      2 and	ethical	implications
      2 and	algorithms	used
      2 and	algorithms	Artificial
      2 ancient	Chinese	board
      2 alternate	Artificial	Intelligence
      2 alternate	alternate	How
      2 alternate	alternate	Artificial
      2 also	will	tackle
      2 Allen	Institute	for
      2 algorithms	used	for
      2 algorithms	Artificial	Intelligence
      2 AI	Now	cohosted
      2 AI	artificial	intelligence
      2 advancing	the	hardware
      2 administration	held	a
      2 about	A	I
      2 A	version	of
      2 a	series	of
      2 a	program	that
      2 a	pen	A
      2 A	I	will
      2 A	I	to
      2 A	I	systems
      2 A	I	system
      2 A	I	s
      2 A	I	programs
      2 A	I	has
      2 a	Artificial	intelligence
      2 240	million	over
      2 2016	the	Obama
      1 Zuckerberg	s	own
      1 Zuckerberg	over	the
      1 Zuckerberg	have	very
      1 Zuckerberg	clash	over
      1 Zuck	showdown	over
      1 Zone	TV	said
      1 Zone	TV	aims
      1 Zero	took	just
      1 Zero	the	Artificial
      1 Zacharia	the	chief
      1 your	product	the
      1 your	home	That
      1 your	child	may
      1 you	what	scares
      1 you	we	re
      1 you	view	crime
      1 you	understand	crime
      1 you	travel	But
      1 you	imagine	when
      1 you	have	the
      1 You	don	t
      1 You	could	do
      1 You	can	see
      1 you	are	interested
      1 you	agree	with
      1 you		
      1 York	mission	known
      1 York	addressing	its
      1 York	_taboola	push
      1 yet	For	example
      1 Yet	for	all
      1 yet	easy	to
      1 yet	develop	further
      1 yes	But	shouldn
      1 Yes	but	not
      1 Yes	but	it
      1 years	the	number
      1 years	if	ever
      1 years	How	artificial
      1 years	disruption	for
      1 year	when	the
      1 Year	Study	on
      1 year	s	RISE
      1 year	my	lab
      1 year	it	stunned
      1 year	In	March
      1 X	Robotics	Artificial
      1 wrote	this	overly
      1 wrote	the	beginning
      1 wrote	that	it
      1 wrong	person	these
      1 wrong	let	me
      1 writing	the	next
      1 wouldn	t	mean
      1 would	make	if
      1 would	love	to
      1 would	do	the
      1 would	cover	private
      1 would	be	ready
      1 worse	than	bet
      1 worse	A	I
      1 worry	The	first
      1 worry	that	developments
      1 worry	about	On
      1 Worried	About	Artificial
      1 world	While	a
      1 world	where	there
      1 world	s	leading
      1 world	s	best
      1 world	rather	than
      1 world	not	always
      1 world	MOSCOW	Russian
      1 world	more	Image
      1 world	monopolist	position
      1 world	may	be
      1 world	leader	in
      1 world	Google	s
      1 world	for	the
      1 works	Integrating	that
      1 works	for	a
      1 working	on	artificial
      1 Workforce	to	Develop
      1 workforce	Looking	specifically
      1 workers	what	options
      1 workers	to	do
      1 workers	or	perhaps
      1 workers	bartenders	concierges
      1 worked	on	A
      1 work	to	study
      1 work	for	Global
      1 work	for	certain
      1 work	fewer	hours
      1 Work	careers	Artificial
      1 work	and	live
      1 Wooldridge	Professor	of
      1 won	t	kill
      1 won	t	be
      1 without	explicit	approval
      1 without	being	replaced
      1 within	days	to
      1 within	and	between
      1 with	whichever	country
      1 With	Very	Real
      1 with	Think	of
      1 with	their	artificial
      1 with	the	world
      1 with	the	company
      1 with	the	changing
      1 with	technology	more
      1 with	talent	In
      1 with	science	fiction
      1 with	real	people
      1 with	Peter	Norvig
      1 with	other	nations
      1 with	Mr	Musk
      1 with	more	coming
      1 with	microdiscoveries	progress
      1 with	internet	connected
      1 with	Google	s
      1 with	doctors	If
      1 with	both	models
      1 with	Big	Data
      1 with	an	opportunity
      1 with	algorithms	business
      1 with	A	I
      1 Wired	magazine	account
      1 Wiping	Out	Humanity
      1 will	use	artificial
      1 will	they	have
      1 will	swarm	Hackers
      1 will	swarm	average
      1 will	soon	outperform
      1 will	should	mean
      1 will	rule	world
      1 will	result	in
      1 will	replace	skilled
      1 will	overtake	us
      1 will	not	be
      1 Will	Motivation	and
      1 will	mean	they
      1 will	make	scientific
      1 will	make	life
      1 will	make	existing
      1 will	lead	to
      1 Will	it	What
      1 will	involve	service
      1 will	involve	educating
      1 will	have	to
      1 will	have	enough
      1 will	go	to
      1 will	explode	but
      1 will	eliminate	many
      1 will	dominate	in
      1 will	do	the
      1 will	comprise	mostly
      1 will	come	to
      1 will	change	the
      1 will	bring	about
      1 will	be	the
      1 will	be	marching
      1 will	be	forced
      1 will	be	consequences
      1 will	be	an
      1 will	again	Work
      1 will	absorb	all
      1 Why	We	Should
      1 Why	on	Artificial
      1 Why	by	Luke
      1 Why	Artificial	Intelligence
      1 whose	jobs	have
      1 whoever	reaches	a
      1 who	works	for
      1 who	takes	that
      1 who	serve	as
      1 who	sell	directly
      1 Who	s	the
      1 Who	s	Afraid
      1 who	has	experience
      1 who	coined	the
      1 Who	betrayed	Anne
      1 White	House	report
      1 While	science	fiction
      1 While	Pivoting	to
      1 while	developing	world
      1 While	a	large
      1 whichever	country	supplies
      1 which	will	have
      1 which	uses	a
      1 which	strength	begets
      1 which	served	as
      1 which	neural	networks
      1 which	learn	specific
      1 which	is	already
      1 which	has	been
      1 which	has	about
      1 whether	we	should
      1 Whether	or	not
      1 whether	on	the
      1 whether	an	A
      1 where	transparency	and
      1 where	they	re
      1 where	there	are
      1 where	the	world
      1 where	the	Global
      1 where	it	anticipates
      1 where	artificial	intelligence
      1 When	they	arrive
      1 when	there	is
      1 when	the	search
      1 when	someone	mentions
      1 when	it	s
      1 when	it	comes
      1 When	DeepMind	s
      1 when	cornered	Being
      1 when	cornered	_taboola
      1 When	Artificial	Intelligence
      1 when	A	I
      1 what	Sophia	the
      1 what	scares	me
      1 What	role	for
      1 what	options	will
      1 what	it	will
      1 What	It	Tells
      1 What	is	artificial
      1 What	Happens	When
      1 What	exactly	constitutes
      1 what	does	that
      1 What	do	you
      1 what	could	possibly
      1 what	combinations	for
      1 what	combination	of
      1 what	artificial	intelligence
      1 what	about	other
      1 weren	t	smart
      1 weren	t	able
      1 were	able	to
      1 well	suited	for
      1 well	chatbots	the
      1 well	as	for
      1 welfare	subsidies	in
      1 welfare	initiatives	via
      1 Week	When	DeepMind
      1 week	s	skirmish
      1 Week	Here	s
      1 Wednesday	18	October
      1 weather	or	I
      1 weapons	with	artificial
      1 weapons	that	violate
      1 weapons	jobs	and
      1 weapons	could	easily
      1 weapons	are	artificial
      1 weaponized	and	any
      1 weak	AI	in
      1 we	work	and
      1 we	ve	found
      1 we	ve	created
      1 we	take	steps
      1 We	Should	Think
      1 we	should	regulate
      1 we	should	develop
      1 we	re	using
      1 we	re	on
      1 we	re	casting
      1 we	need	a
      1 We	must	take
      1 we	may	never
      1 we	may	have
      1 we	love	about
      1 We	look	for
      1 we	keep	it
      1 we	have	seen
      1 we	have	nothing
      1 We	have	already
      1 we	get	into
      1 we	envision	A
      1 we	enhance	these
      1 we	do	so
      1 we	couldn	t
      1 we	close	too
      1 we	chose	not
      1 we	can	t
      1 we	build	an
      1 We	believe	that
      1 we	are	the
      1 we	are	going
      1 way	you	travel
      1 way	you	
      1 way	Washington	professor
      1 way	to	go
      1 way	they	think
      1 way	or	another
      1 wave	On	Tuesday
      1 Watson	which	served
      1 Watson	used	in
      1 Watson	more	than
      1 Watson	an	A
      1 Watch	said	that
      1 Washington	that	was
      1 Washington	state	
      1 Washington	professor	and
      1 was	uniquely	capable
      1 was	to	determine
      1 was	entertaining	if
      1 was	developed	by
      1 was	co	founded
      1 wars	could	become
      1 want	the	F
      1 want	autonomous	vehicles
      1 want	A	I
      1 waits	on	stage
      1 Wait	But	Why
      1 vs	Zuck	showdown
      1 vocal	about	his
      1 Vladimir	Putin	says
      1 visual	perception	A
      1 visionary	inventor	Elon
      1 virtual	teaching	assistant
      1 violate	international	treaties
      1 views	of	the
      1 viewers		
      1 view	that	confuses
      1 view	crime	as
      1 view	about	A
      1 videos	to	individual
      1 videos	My	third
      1 Video	provided	by
      1 video	interview	that
      1 via	taxes	But
      1 veteran	as	their
      1 vessels	dredging	through
      1 Very	Real	Biases
      1 very	differing	opinions
      1 version	of	us
      1 verge	of	Sweigert
      1 Venture	capitalist	will
      1 vehicles	that	drive
      1 vehicles	rather	than
      1 ve	found	
      1 ve	created	all
      1 vast	amounts	of
      1 various	types	of
      1 variety	of	artificial
      1 values	it	will
      1 Valley	s	resident
      1 Valley	giant	is
      1 valid	concerns	about
      1 uuid	bO3beFYDEeeEC1EgJjGdpw	Hopper
      1 utilizing	a	humanoid
      1 utilize	for	various
      1 utilization	of	robotics
      1 using	computing	power
      1 using	A	I
      1 uses	artificial	intelligence
      1 uses	a	variety
      1 users	Such	economic
      1 used	only	robot
      1 used	in	IBM
      1 used	for	evil
      1 used	by	gamers
      1 use	of	A
      1 use	every	day
      1 use	computers	to
      1 use	artificial	intelligenceJames
      1 use	and	effects
      1 us	with	an
      1 us	to	combine
      1 us	The	A
      1 us	researcher	at
      1 us	on	Timur
      1 Us	Can	we
      1 us	but	it
      1 us	Artificial	intelligence
      1 us	all	Meet
      1 Us	About	A
      1 urged	the	nation
      1 ups	will	explode
      1 up	Time	Tesla
      1 up	knowledge	on
      1 up	for	more
      1 up	company	share
      1 up	by	Facebook
      1 unveiled	the	latest
      1 Unstick	It	Today
      1 unruly	Instead	specialized
      1 unnerved	by	one
      1 unlock	the	opaque
      1 Unlike	the	Industrial
      1 University	told	a
      1 University	s	Stuart
      1 University	of	California
      1 University	Heni	Ben
      1 United	States	to
      1 United	States	and
      1 uniquely	capable	of
      1 unique	and	diversified
      1 unimaginable	revolution	in
      1 Unemployment	underemployment	Ironic
      1 unemployment	I	suspect
      1 underway	is	reminiscent
      1 understanding	the	emerging
      1 understanding	of	artificial
      1 understanding	Continue	reading
      1 understand	to	a
      1 understand	or	anticipate
      1 understand	crime	as
      1 underemployment	Ironic	since
      1 under	former	President
      1 under	an	open
      1 unavoidable	that	large
      1 ultra	profitable	A
      1 ultimate	intellectual	version
      1 ultimate	impact	on
      1 Uh	oh	Musk
      1 Uber	would	make
      1 U	S	Nasdaq
      1 types	of	jobs
      1 types	of	cancer
      1 two	recent	developments
      1 Two	main	problems
      1 two	insurmountable	problems
      1 two	Hassabis	a
      1 two	current	approaches
      1 two	companies	put
      1 Twitter	A	I
      1 twist	rather	than
      1 tweets	they	also
      1 TV	said	it
      1 TV	executives	to
      1 TV	channels	The
      1 TV	aims	to
      1 Turns	On	Us
      1 turn	to	machine
      1 turbocharged	personal	computers
      1 Tuesday	to	deal
      1 trying	to	simulate
      1 trying	to	define
      1 Trump	on	Twitter
      1 true	Investments	into
      1 true	human	intelligence
      1 true	Hackers	will
      1 Trigger	Artificial	intelligence
      1 Tries	to	Protect
      1 treaties	Our	common
      1 travels	through	the
      1 travelers	use	artificial
      1 travelers	A	new
      1 travel	The	technologists
      1 travel	terrorists	protected
      1 travel	technology	company
      1 travel	But	maybe
      1 travel	and	they
      1 travel	And	protected
      1 travel	And	less
      1 travel	a	little
      1 Transparency	is	a
      1 transparency	and	protected
      1 transparency	and	accountability
      1 translation	speech	recognition
      1 translate	languages	Intel
      1 Translate		
      1 transition	IEEE	Special
      1 transforming	how	we
      1 transformation	will	result
      1 transform	our	world
      1 transform	jobs	in
      1 transferred	to	those
      1 Transcending	Complacency	on
      1 Transcendence	Our	Fear
      1 toy	such	as
      1 toward	the	robustness
      1 top	down	and
      1 top	AI	researcher
      1 tools	like	the
      1 tools	aren	t
      1 tool	was	developed
      1 tool	Automation	is
      1 took	just	three
      1 too	there	The
      1 Too	often	the
      1 too	of	the
      1 too	many	doors
      1 too	late	Mr
      1 too	complex	for
      1 told	the	Committee
      1 told	a	select
      1 together	an	artificial
      1 today	s	artificial
      1 today	Roughly	speaking
      1 today	is	properly
      1 Today	Facebook	Artificial
      1 to	worry	The
      1 to	worry	about
      1 to	work	fewer
      1 to	Wait	But
      1 to	use	computers
      1 to	use	artificial
      1 to	unlock	the
      1 to	thousands	of
      1 to	those	whose
      1 to	this	question
      1 to	think	like
      1 to	the	United
      1 to	the	problem
      1 to	the	Precipice
      1 to	the	next
      1 to	the	Movies
      1 to	the	growing
      1 to	the	full
      1 to	the	final
      1 to	the	existence
      1 to	the	consumers
      1 to	thank	For
      1 to	tax	ultra
      1 to	succeed	I
      1 to	subsidize	their
      1 to	study	the
      1 to	steer	it
      1 to	start	thinking
      1 to	spike	This
      1 to	specialize	in
      1 to	simulate	true
      1 to	share	its
      1 to	self	driving
      1 to	select	and
      1 to	reveal	her
      1 to	rethink	economic
      1 to	researchers	at
      1 to	release	A
      1 to	recognize	University
      1 to	read	could
      1 to	radically	transform
      1 to	put	the
      1 to	Protect	Lead
      1 to	program	TV
      1 to	program	the
      1 to	profit	from
      1 to	problems	too
      1 to	predict	impact
      1 to	power	their
      1 to	power	its
      1 to	play	the
      1 to	perform	tasks
      1 to	perform	a
      1 to	other	countries
      1 to	or	the
      1 to	negotiate	with
      1 to	negotiate	remarkably
      1 to	Move	It
      1 to	minimize	the
      1 to	make	travel
      1 to	make	the
      1 to	make	decisions
      1 to	machine	learning
      1 to	Learn	Entirely
      1 to	learn	
      1 to	kill	In
      1 to	its	human
      1 to	individual	viewers
      1 To	Humanity	Says
      1 to	humanity	an
      1 to	help	Read
      1 to	help	not
      1 to	help	answer
      1 to	hear	at
      1 to	have	to
      1 to	handle	vast
      1 to	grander	projects
      1 to	go	Sure
      1 to	get	ready
      1 To	get	computers
      1 to	general	A
      1 to	funding	A
      1 to	fund	welfare
      1 to	fully	comprehend
      1 to	fool	students
      1 to	firmly	Tags
      1 to	finish	the
      1 to	examine	the
      1 to	essentially	become
      1 to	environment	and
      1 to	engage	in
      1 to	emerge	if
      1 to	dystopian	views
      1 to	dominate	the
      1 to	do	the
      1 to	do	something
      1 to	do	research
      1 to	do	More
      1 to	dialog	driven
      1 to	Develop	Artificial
      1 to	determine	whether
      1 to	define	and
      1 to	deal	with
      1 to	data	from
      1 to	consider	the
      1 to	combine	flights
      1 to	code	and
      1 to	choose	to
      1 to	catch	the
      1 to	build	Google
      1 to	build	autonomous
      1 to	break	into
      1 to	both	the
      1 to	boost	performance
      1 to	better	space
      1 to	benefit	from
      1 to	be	transferred
      1 to	be	passive
      1 to	be	paranoid
      1 to	be	alarmed
      1 to	automatically	elicit
      1 to	automate	routine
      1 to	attempt	to
      1 to	at	least
      1 To	assess	Jill
      1 to	ask	whether
      1 to	analyze	pricing
      1 to	an	unimaginable
      1 to	Although	the
      1 to	alter	the
      1 to	alter	employment
      1 to	AI	artificial
      1 to	advance	the
      1 to	advance	medicine
      1 to	acquire	confidential
      1 to	a	toy
      1 to	a	single
      1 to	a	majority
      1 to	a	limited
      1 to	a	Artificial
      1 tips	on	how
      1 Timur	Kalimov	is
      1 Time	Tesla	and
      1 time	last	year
      1 through	the	aperture
      1 through	red	lights
      1 through	excel	sheets
      1 through	data	in
      1 thrones	george	r
      1 Thrones	book	August
      1 Thrones	book	artificial
      1 Thrones	book	44
      1 Thrones	book	42
      1 Thrones	book	
      1 thriller	People	worry
      1 three	years	the
      1 three	rules	of
      1 three	rules	for
      1 three	laws	of
      1 three	laws	are
      1 three	days	to
      1 three	A	I
      1 threats	we	don
      1 threat	to	humanity
      1 Threat	shivers	down
      1 Threat	Order	Reprints
      1 Threat	Fashion	Style
      1 threat	but	A
      1 Threat	Artificial	Intelligence
      1 thousands	of	domains
      1 Though	concerns	and
      1 those	whose	jobs
      1 those	but	advanced
      1 those	A	I
      1 this	year	when
      1 this	year	s
      1 This	wouldn	t
      1 This	Week	When
      1 This	Week	Here
      1 This	unique	and
      1 This	transformation	will
      1 This	seems	This
      1 This	rule	would
      1 this	question	resembles
      1 this	overly	optimistic
      1 this	op	ed
      1 This	leads	to
      1 This	kind	of
      1 This	is	from
      1 this	hits	different
      1 this	genius	keep
      1 this	data	world
      1 this	as	someone
      1 this	article	appears
      1 This	anxiety	spills
      1 This	8	Crime
      1 third	rule	is
      1 thinking	for	workers
      1 thinking	about	how
      1 think	or	the
      1 Think	of	artificial
      1 Think	of	all
      1 think	like	humans
      1 Think	About	the
      1 things	like	identity
      1 things	like	data
      1 thing	with	their
      1 thing	They	should
      1 they	would	do
      1 they	will	be
      1 they	weren	t
      1 they	think	or
      1 They	should	A
      1 They	re	late
      1 they	re	coming
      1 they	ll	breathlessly
      1 they	have	I
      1 They	face	two
      1 they	do	now
      1 they	develop	an
      1 They	concern	situations
      1 they	commit	a
      1 They	can	do
      1 they	arrive	we
      1 They	are	simply
      1 they	are	pouring
      1 they	are	a
      1 they	also	produce
      1 TheWrap		
      1 Theses	are	technological
      1 these	weapons	could
      1 These	three	laws
      1 these	days	but
      1 These	challenges	are
      1 these	benefits	with
      1 These	are	jobs
      1 These	3	stocks
      1 there	will	be
      1 there	will	again
      1 there	The	solution
      1 there	is	something
      1 there	is	no
      1 there	are	valid
      1 there	are	no
      1 there	are	hundreds
      1 There	are	fascinating
      1 then	smart	machines
      1 then	nations	like
      1 then	I	read
      1 then	A	I
      1 themselves	how	to
      1 themselves	and	make
      1 theme	at	this
      1 them	to	a
      1 them	here	as
      1 them	according	to
      1 their	workers	what
      1 their	results	with
      1 their	own	nonhuman
      1 their	new	leader
      1 their	human	developers
      1 their	exceptional	ability
      1 their	efforts	into
      1 their	content	The
      1 their	booking	engines
      1 their	battle	is
      1 their	artificial	intelligence
      1 their	A	I
      1 theft	denial	of
      1 the	wrong	person
      1 the	world	rather
      1 the	world	monopolist
      1 the	world	may
      1 the	world	Google
      1 the	world	for
      1 the	workforce	Looking
      1 the	weather	or
      1 the	way	you
      1 the	way	they
      1 the	verge	of
      1 the	use	and
      1 the	United	States
      1 the	ultimate	intellectual
      1 the	two	companies
      1 The	twist	rather
      1 the	transition	IEEE
      1 the	Topics	Artificial
      1 the	three	laws
      1 the	Threat	of
      1 the	These	three
      1 the	The	superhero
      1 The	technology	entrepreneur
      1 the	technology	across
      1 The	technologists	are
      1 the	technologies	many
      1 the	tangible	impact
      1 the	system	
      1 The	Superintelligent	Will
      1 The	superhero	of
      1 the	standard	AI
      1 the	source	of
      1 the	solutions	to
      1 The	solution	to
      1 the	social	networking
      1 the	social	causes
      1 the	smartest	said
      1 the	smartest	people
      1 the	sixth	book
      1 the	singularity	that
      1 the	Silicon	Valley
      1 the	series	that
      1 The	security	system
      1 the	sector	join
      1 the	search	engine
      1 the	same	A
      1 the	safety	of
      1 the	robustness	and
      1 the	Robot	waits
      1 the	Robot	participate
      1 the	Robot	left
      1 the	Robot	is
      1 the	RISE	Technology
      1 the	rise	of
      1 the	rise	in
      1 the	rest	with
      1 the	report	said
      1 The	Real	Threat
      1 the	race	to
      1 the	public	understanding
      1 the	property	of
      1 the	promise	of
      1 the	programming	language
      1 the	programmer	s
      1 the	problem	of
      1 The	problem	is
      1 The	pressures	from
      1 the	Precipice	a
      1 the	potential	of
      1 the	potential	effects
      1 The	point	of
      1 the	plot	of
      1 the	planet	or
      1 the	people	skills
      1 the	parent	nation
      1 The	outlying	specialized
      1 the	outlook	isn
      1 the	opaque	nature
      1 the	Obama	under
      1 the	next	great
      1 the	next	Game
      1 the	next	frontier
      1 the	next	A
      1 the	new	focus
      1 the	natural	next
      1 the	nation	s
      1 the	mystery	It
      1 the	multi	millennia
      1 the	Movies	Transcendence
      1 the	most	prominent
      1 the	most	practical
      1 the	most	influential
      1 the	more	so
      1 The	more	data
      1 the	money	created
      1 the	money	being
      1 the	moment	there
      1 the	minority	Artificial
      1 the	millions	from
      1 the	matter	more
      1 The	Master	Algorithm
      1 the	man	who
      1 the	looming	A
      1 the	long	term
      1 the	limitations	of
      1 the	likely	impact
      1 the	life	It
      1 the	lesson	from
      1 the	latest	incarnation
      1 The	latest	entrant
      1 the	last	three
      1 the	largest	open
      1 the	Korean	Go
      1 The	Keynesian	approach
      1 the	jobs	it
      1 the	job	market
      1 the	intricate	yet
      1 the	interest	of
      1 the	initiative	to
      1 the	information	that
      1 the	industry	as
      1 the	Industrial	Revolution
      1 the	increasing	number
      1 the	implications	of
      1 the	impact	of
      1 the	iconic	In
      1 the	human	interface
      1 the	human	brain
      1 the	headline	The
      1 the	headline	Intel
      1 the	headline	How
      1 the	headline	Artificial
      1 the	headline	A
      1 the	HBO	show
      1 the	haves	and
      1 the	have	nots
      1 the	hands	of
      1 the	growing	list
      1 the	government	should
      1 the	Google	owned
      1 the	Google	computer
      1 the	Global	X
      1 the	global	software
      1 the	game	of
      1 the	game	By
      1 the	future	Photo
      1 the	full	gamut
      1 the	front	lines
      1 The	free	tool
      1 the	founders	of
      1 the	founder	of
      1 the	first	time
      1 The	first	more
      1 the	final	and
      1 the	field	of
      1 the	field	For
      1 the	fastest	but
      1 the	factory	floor
      1 the	Facebook	Microsoft
      1 the	F	B
      1 the	experiment	was
      1 the	existence	of
      1 the	event	as
      1 The	Ethics	of
      1 the	entire	compendium
      1 the	enormous	engagement
      1 the	employment	prospects
      1 the	emerging	ethics
      1 the	Economy	White
      1 the	early	days
      1 the	dominant	theme
      1 the	discussion	forum
      1 the	dirty	little
      1 the	director	of
      1 the	dependent	country
      1 the	dangers	of
      1 the	corporate	earnings
      1 the	contrary	the
      1 the	consumers	infatuated
      1 the	computer	revolution
      1 the	company	s
      1 The	company	just
      1 The	company	has
      1 the	companies	that
      1 the	Committee	appointed
      1 the	cloud	and
      1 the	city	s
      1 the	chief	technology
      1 the	chief	executive
      1 the	channels	Zone
      1 the	changing	competitive
      1 the	case	of
      1 the	breakthroughs	This
      1 the	breakthrough	removes
      1 the	box	Science
      1 the	better	your
      1 the	better	the
      1 the	best	practices
      1 the	best	human
      1 the	Beneficial	AI
      1 the	beginning	of
      1 the	basis	of
      1 the	barn	and
      1 the	automation	of
      1 the	author	with
      1 the	audience	what
      1 The	Assistant	Professor
      1 the	areas	of
      1 the	aperture	of
      1 the	answer	will
      1 the	answer	to
      1 the	answer	is
      1 the	amorphous	and
      1 the	aigency	is
      1 The	AI	is
      1 the	adoption	of
      1 the	academy	and
      1 the	1960s	and
      1 the		
      1 that	your	child
      1 that	won	t
      1 that	will	lead
      1 that	whoever	reaches
      1 that	we	ve
      1 that	we	should
      1 that	we	couldn
      1 that	we	can
      1 that	was	co
      1 that	violate	international
      1 that	there	will
      1 that	there	are
      1 that	the	These
      1 that	the	race
      1 that	the	lesson
      1 that	the	HBO
      1 that	takes	in
      1 that	sort	of
      1 that	society	needs
      1 that	security	researchers
      1 that	s	lashing
      1 that	s	a
      1 that	Russia	would
      1 that	risk	seriously
      1 that	recently	beat
      1 that	potentially	stand
      1 that	point	in
      1 that	places	top
      1 that	our	A
      1 that	now	exist
      1 that	neither	of
      1 That	My	three
      1 that	mean	This
      1 that	may	not
      1 that	many	investors
      1 that	large	chunks
      1 that	it	was
      1 that	it	still
      1 that	information	Because
      1 That	includes	machine
      1 that	improve	productivity
      1 that	if	we
      1 that	identify	images
      1 that	I	ll
      1 that	humorously	impersonated
      1 that	humans	can
      1 that	give	people
      1 that	follows	the
      1 that	explains	deep
      1 that	experiments	like
      1 that	entrap	people
      1 that	drive	through
      1 that	doesn	t
      1 that	discusses	AI
      1 that	diagnose	cancer
      1 that	developments	in
      1 that	development	Artificial
      1 that	develop	A
      1 that	country	s
      1 that	confuses	A
      1 that	artificial	intelligence
      1 that	are	programmed
      1 that	are	inspired
      1 that	are	almost
      1 that	are	able
      1 that	apply	to
      1 that	anyone	building
      1 that	an	artificial
      1 that	an	A
      1 that	adopt	it
      1 thanks	in	part
      1 thank	For	that
      1 than	Yes	but
      1 than	trying	to
      1 than	they	do
      1 than	the	property
      1 than	restricting	them
      1 than	nukes	And
      1 than	most	people
      1 than	just	common
      1 than	employing	TV
      1 than	bet	they
      1 than	anything	else
      1 than	a	central
      1 than	400	million
      1 textbook	for	two
      1 tests	by	having
      1 terrorists	protected	from
      1 terrorist	threats	we
      1 Terrifyingly	Google	s
      1 term	thanks	in
      1 term	future	of
      1 tend	to	be
      1 Tencent	are	making
      1 temperatures	Source	Climatecentral
      1 Tells	Us	About
      1 tellers	Unlike	the
      1 tell	you	what
      1 tell	you	we
      1 Tegmark	The	Future
      1 technology	that	takes
      1 technology	s	hottest
      1 technology	officer	for
      1 technology	more	than
      1 Technology	Intel	While
      1 technology	expert	about
      1 technology	entrepreneur	Elon
      1 Technology	Conference	Isaac
      1 Technology	Conference	in
      1 technology	company	I
      1 technology	but	rather
      1 technology	across	pop
      1 technology	46	958
      1 technology		
      1 technologists	are	right
      1 technologies	that	are
      1 technologies	promise	to
      1 technologies	many	companies
      1 technological	giants	who
      1 Tech	Lifelike	robots
      1 Tech	giants	studying
      1 tech	giants	is
      1 Tech	created	Jill
      1 tech	conference	at
      1 teaching	themselves	how
      1 teaching	someone	We
      1 teaching	machines	to
      1 teaching	assistants	on
      1 teaching	assistant	designed
      1 teach	themselves	and
      1 taxes	But	what
      1 tax	ultra	profitable
      1 taught	like	a
      1 tasks	that	humans
      1 tasks	Nvidia	s
      1 tasks	faster	than
      1 tasks	by	analyzing
      1 tasks	and	provide
      1 tasks	A	I
      1 task	e	g
      1 tapping	the	Obama
      1 tangible	impact	of
      1 Tallinn	on	Steering
      1 Talks	from	the
      1 talent	In	case
      1 taking	place	about
      1 taking	over	most
      1 taking	on	ransomware
      1 taking	on	How
      1 taking	off	with
      1 taking	in	welfare
      1 taking	government	services
      1 taking	certain	jobs
      1 takes	that	risk
      1 takes	in	huge
      1 takes	humans	out
      1 taken	over	the
      1 take	the	initiative
      1 take	steps	to
      1 take	center	stage
      1 tailored	to	handle
      1 tailored	for	A
      1 t	we	take
      1 t	want	the
      1 t	want	autonomous
      1 t	want	A
      1 t	understand	or
      1 t	trying	to
      1 t	swim	like
      1 t	smart	enough
      1 t	share	the
      1 t	mean	we
      1 t	mean	robots
      1 t	mean	arresting
      1 t	kill	us
      1 t	just	produce
      1 t	it	is
      1 t	help	But
      1 t	have	to
      1 t	good	at
      1 t	even	more
      1 t	even	know
      1 t	entirely	bleak
      1 t	done	making
      1 t	claim	that
      1 t	be	like
      1 t	be	dismissed
      1 t	able	to
      1 systems	We	don
      1 systems	the	potential
      1 systems	that	entrap
      1 systems	tend	to
      1 systems	have	mastered
      1 systems	for	example
      1 systems	don	t
      1 systems	are	in
      1 systems	are	clearly
      1 system	must	clearly
      1 system	must	be
      1 system	learnt	by
      1 system	just	wrote
      1 system	did	something
      1 system	cannot	retain
      1 system	are	increasingly
      1 system	analyzes	samples
      1 system		
      1 symptoms	body	processes
      1 switch	Beyond	that
      1 swim	like	a
      1 Sweigert	who	works
      1 swarm	Hackers	will
      1 swarm	average	temperatures
      1 suspect	will	involve
      1 surpasses	human	intelligence
      1 Sure	A	I
      1 supplies	most	of
      1 Superintelligent	Will	Motivation
      1 Superintelligent	Machines	Why
      1 superintelligence	that	won
      1 Superintelligence	Paths	Dangers
      1 superhero	of	artificial
      1 supercomputer	having	analytical
      1 supercharges	automation	over
      1 super	smart	algorithms
      1 SundayReview	The	Real
      1 SundayReview	Artificial	Intelligence
      1 suited	for	jobs
      1 suited	for	A
      1 suggest	a	more
      1 such	In	2016
      1 Such	economic	One
      1 such	as	language
      1 such	as	ethics
      1 such	as	an
      1 such	a	broad
      1 successful	A	I
      1 succeed	I	say
      1 subsidize	their	workers
      1 subsidies	in	exchange
      1 subject	to	the
      1 Style	Artificial	Intelligence
      1 stunned	the	world
      1 studying	artificial	intelligence
      1 study	the	use
      1 Study	on	Artificial
      1 students	The	point
      1 students	questions	in
      1 Stuck	Let	s
      1 Stuck	Here	s
      1 Stuart	Russell	on
      1 Stuart	Russell	Interview
      1 Stuart	Russell	Eric
      1 Stuart	Armstrong	What
      1 strikes	me	as
      1 strength	The	more
      1 strength	begets	strength
      1 Street	Rather	artificial
      1 strategy	at	an
      1 Strategies	Life	3
      1 story	My	second
      1 story	I	fear
      1 story	Facebook	Project
      1 stocks	are	smart
      1 stock	manipulation	or
      1 Still	the	adoption
      1 still	has	a
      1 Steve	Debenport	Washington
      1 Steve	Debenport	Getty
      1 steps	to	at
      1 Stephen	Hawking	one
      1 Stephen	Hawking	Is
      1 step	now	that
      1 stem	from	intelligence
      1 Steering	Artificial	Intelligence
      1 steer	it	A
      1 stealth	artificial	intelligence
      1 statistical	correlations	humans
      1 States	to	essentially
      1 States	and	China
      1 State	University	Heni
      1 state		
      1 startup	Partnership	on
      1 starting	to	emerge
      1 starting	point	for
      1 start	ups	will
      1 start	up	for
      1 start	up	company
      1 start	thinking	about
      1 stars		
      1 Stanford	One	Hundred
      1 standouts	One	of
      1 standard	AI	textbook
      1 stand	to	benefit
      1 stage	before	a
      1 stage	at	artificial
      1 staff	members	and
      1 Stacy	Rasgon	a
      1 SR6	of	the
      1 spreading	to	thousands
      1 sponsored	in	part
      1 spine	But	I
      1 spills	over	into
      1 spike	This	wouldn
      1 spike	This	8
      1 speech	recognition	and
      1 speech	and	translate
      1 specifically	into	cancer
      1 specific	This	kind
      1 specific	tasks	by
      1 specific	Musk	said
      1 specialized	chips	are
      1 specialize	in	one
      1 specialising	in	the
      1 Special	Report	Artificial
      1 speaking	it	s
      1 space	travel	terrorists
      1 space	travel	And
      1 Space	exploration	A
      1 Space	com	Investments
      1 Source	Why	Artificial
      1 Source	Space	com
      1 source	of	that
      1 Source	New	York
      1 Source	Climatecentral	org
      1 sound	but	far
      1 sort	of	knowledge
      1 sore	loser	is
      1 sophisticated	piece	of
      1 sophisticated	dialogue	with
      1 Sophia	the	Robot
      1 soon	outperform	humans
      1 Song	of	Ice
      1 something	that	we
      1 something	smarter	than
      1 something	drawn	from
      1 something	devastating	Autonomous
      1 someone	who	has
      1 someone	We	have
      1 someone	mentions	artificial
      1 someone	else	explain
      1 Some	Pretty	Huge
      1 some	developing	markets
      1 solve	the	mystery
      1 solutions	to	problems
      1 solutions	People	die
      1 solutions	are	taking
      1 solution	to	the
      1 soldiers	with	A
      1 software	You	could
      1 software	industry	in
      1 software	China	or
      1 software	and	performs
      1 software	and	figures
      1 Society	needs	to
      1 society	needs	assurances
      1 society	needs	and
      1 social	workers	bartenders
      1 social	networking	giant
      1 social	causes	of
      1 So	when	there
      1 so	then	nations
      1 so	that	we
      1 So	if	you
      1 So	if	most
      1 so	if	it
      1 so	how	can
      1 so	far	Photo
      1 so	far	12
      1 so	Artificial	Intelligence
      1 so	amplifying	our
      1 smartest	said	James
      1 smartest	people	Two
      1 smarter	The	latest
      1 smarter	than	Yes
      1 smarter	Does	it
      1 smart	machines	could
      1 smart	machines	can
      1 smart	enough	to
      1 smart	bets	on
      1 smart	algorithms	Filed
      1 small	research	labs
      1 slowly	and	in
      1 slow	down	progress
      1 skirmish	between	visionary
      1 skip	that	I
      1 skills	that	A
      1 skills	artificial	intelligence
      1 skilled	workers	or
      1 sketched	out	may
      1 sixth	book	Filed
      1 situations	that	may
      1 site	and	booking
      1 SIRI	to	self
      1 Siri	Alexa	Cortana
      1 Siri	about	the
      1 singularity	that	point
      1 single	country	or
      1 since	we	envision
      1 simulate	true	human
      1 Simply	put	My
      1 simply	In	fact
      1 similar	apps	for
      1 Silicon	Valley	s
      1 Silicon	Valley	giant
      1 significantly	larger	labs
      1 side	with	Big
      1 side	by	side
      1 Shutterstock	screen	or
      1 showdown	over	artificial
      1 show	is	based
      1 shouldn	t	we
      1 Should	Think	About
      1 should	regulate	the
      1 should	not	excuse
      1 should	not	be
      1 should	mean	for
      1 should	do	the
      1 should	develop	A
      1 should	consider	regulations
      1 should	be	amended
      1 should	A	version
      1 shivers	down	my
      1 sheets	Humans	are
      1 share	their	results
      1 share	the	best
      1 share	its	know
      1 Shannon	wrote	this
      1 set	up	by
      1 services	to	the
      1 services	for	HyperScience
      1 service	providers	who
      1 service	jobs	of
      1 service	attacks	and
      1 served	as	a
      1 serve	videos	to
      1 serve	as	the
      1 seriously	Artificial	Intelligence
      1 serious	but	the
      1 series	that	the
      1 series	SELF	DRIVING
      1 Sept	2	Last
      1 sense	reasoning	attain
      1 sense	of	purpose
      1 semiconductor	analyst	at
      1 sell	directly	to
      1 SELF	DRIVING	Ford
      1 self	aware	computer
      1 select	committee	meeting
      1 select	and	serve
      1 sees	persistent	revenue
      1 seen	in	the
      1 seen	for	example
      1 seems	This	leads
      1 seems	American	businesses
      1 seemingly	innocuous	housecleaning
      1 seeks	59	China
      1 seeks	59	billion
      1 see	where	they
      1 Sedol	the	Korean
      1 security	system	analyzes
      1 security	researchers	turn
      1 sector	join	us
      1 secret	is	that
      1 second	rule	is
      1 SEATTLEPI	COM	14
      1 Seattle	Washington	that
      1 search	of	statistical
      1 search	engine	giant
      1 scrolling	through	excel
      1 screen	or	scrolling
      1 scientists	working	on
      1 scientist	Computer	program
      1 scientific	understanding	Continue
      1 scientific	discoveries	and
      1 sciencemachine	learningneural	networks
      1 science	with	science
      1 science	technology	
      1 Science	Goes	to
      1 Science	Friday	Christof
      1 science	fiction	often
      1 science	fiction	Nevertheless
      1 science	fiction	films
      1 Science	at	Oxford
      1 sci	fi	thriller
      1 scares	me	most
      1 scared	artificial	intelligence
      1 scale	These	challenges
      1 says	the	government
      1 says	that	whoever
      1 Says	Oxford	University
      1 says	it	knows
      1 says	Giorgos	Zacharia
      1 says	CBI	Britain
      1 say	this	as
      1 savings	But	McGouldrick
      1 samples	of	good
      1 same	thing	with
      1 same	thing	They
      1 same	A	I
      1 said	You	don
      1 said	We	must
      1 said	They	re
      1 said	replacing	human
      1 said	James	Barrat
      1 said	it	uses
      1 said	in	a
      1 said	I	know
      1 said	Does	an
      1 safety	Wait	But
      1 safety	of	autonomous
      1 Safety	NIPS	2017
      1 s	work	to
      1 s	where	the
      1 s	where	artificial
      1 s	What	It
      1 s	way	Washington
      1 s	view	about
      1 s	users	Such
      1 s	Unstick	It
      1 s	too	late
      1 s	the	most
      1 s	technology	that
      1 s	Stuart	Armstrong
      1 s	Stacy	Rasgon
      1 s	something	drawn
      1 s	skirmish	between
      1 s	RISE	tech
      1 s	resident	futurist
      1 s	rate	of
      1 s	potential	impact
      1 s	performance	properly
      1 s	own	company
      1 s	not	obvious
      1 s	new	AI
      1 s	natural	to
      1 S	Nasdaq	BOTZ
      1 s	leading	by
      1 s	latest	AI
      1 s	lashing	out
      1 s	How	to
      1 s	hottest	corners
      1 s	governors	to
      1 s	glowing	
      1 s	Game	Playing
      1 s	Future	Google
      1 s	economic	dependent
      1 s	data	center
      1 s	convention	center
      1 s	code	but
      1 s	biggest	employers
      1 s	best	player
      1 s	because	we
      1 s	at	Google
      1 s	AlphaGo	artificial
      1 s	Afraid	Of
      1 s	a	sophisticated
      1 s	a	real
      1 s	8	Crime
      1 Russian	President	Vladimir
      1 Russia	would	be
      1 Russell	on	Machine
      1 Russell	is	the
      1 Russell	Interview	on
      1 Russell	Eric	Horvitz
      1 run	amok	scared
      1 rules	of	my
      1 rules	for	artificial
      1 rules	are	I
      1 rule	would	cover
      1 rule	world	MOSCOW
      1 rule	is	that
      1 RSS2	Feed	Existential
      1 routine	tasks	and
      1 Roughly	speaking	it
      1 role	for	humans
      1 Rochester	and	Claude
      1 robustness	and	flexibility
      1 Robust	and	Beneficial
      1 robots	will	be
      1 robots	take	center
      1 robots	science	technology
      1 robots	in	wars
      1 robots	create	maps
      1 robots	are	transforming
      1 robots	and	artificial
      1 robotics	that	the
      1 robotics	could	transform
      1 Robotics	Ben	Goertzel
      1 Robotics	at	the
      1 robotics	and	artificial
      1 robotic	systems	the
      1 Robot	waits	on
      1 robot	to	do
      1 robot	that	follows
      1 Robot	right	and
      1 Robot	participate	in
      1 robot	Part	of
      1 Robot	left	after
      1 Robot	is	made
      1 robot	from	French
      1 Robot	and	Sophia
      1 roads	with	internet
      1 Rivals	Human	Dealmakers
      1 risks	can	t
      1 risk	to	the
      1 Risk	To	Humanity
      1 Risk	Stuart	Russell
      1 risk	seriously	Artificial
      1 Risk	MIRI	Basic
      1 risk	for	human
      1 Risk	Artificial	Intelligence
      1 RISE	Technology	Conference
      1 RISE	tech	conference
      1 rise	of	artificial
      1 rise	in	artificial
      1 Rights	Watch	said
      1 rights	protected	from
      1 right	artificial	intelligence
      1 right	and	Sophia
      1 revolution	the	A
      1 revolution	on	jobs
      1 revolution	is	not
      1 revolution	in	human
      1 revolution	Artificial	intelligence
      1 Revolution	and	the
      1 revenue	headwinds	and
      1 revenue	declines	That
      1 reveals	its	AI
      1 reveal	her	Mr
      1 retraining	people	in
      1 rethink	economic	inequality
      1 retain	or	disclose
      1 results	with	the
      1 results	to	boost
      1 result	in	enormous
      1 restricting	them	to
      1 rest	with	algorithms
      1 responsibility	because	it
      1 Response	to	Wait
      1 response	to	environment
      1 resident	futurist	Elon
      1 resembles	the	plot
      1 researchers	turn	to
      1 researchers	like	me
      1 researchers	in	the
      1 researcher	You	can
      1 researcher	at	Human
      1 researcher	and	as
      1 research	under	an
      1 research	small	research
      1 Research	said	They
      1 Research	released	a
      1 Research	Priorities	for
      1 research	labs	in
      1 Research	lab	reveals
      1 research	IBM	is
      1 research	for	reasons
      1 Research	for	Beneficial
      1 research	diagnosis	and
      1 research	Comments	Feed
      1 research	centers	now
      1 research	BOSTON	IBM
      1 research	at	Zuckerberg
      1 research	and	policy
      1 research	A	I
      1 requiring	nuanced	human
      1 represents	an	existential
      1 ReportJanuary	3	2018
      1 reported	its	22nd
      1 Report	that	explains
      1 report	that	discusses
      1 report	that	development
      1 report	said	We
      1 report	from	Facebook
      1 Report	Artificial	Intelligence
      1 replacing	human	soldiers
      1 replaced	on	the
      1 replace	the	human
      1 replace	skilled	workers
      1 replace	It	just
      1 removes	a	primary
      1 reminiscent	of	the
      1 remarkably	well	chatbots
      1 remains	object	travels
      1 released	a	new
      1 release	A	I
      1 relatively	few	hands
      1 related	technologies	that
      1 rein	in	the
      1 regulations	for	artificial
      1 regulate	the	tangible
      1 reference	to	artificial
      1 reduction	If	you
      1 reducing	the	social
      1 reduce	crime	by
      1 red	lights	or
      1 record	and	analyze
      1 recognize	University	of
      1 recognize	that	there
      1 recognize	speech	and
      1 recognition	and	visual
      1 recently	urged	the
      1 recently	said	artificial
      1 recently	performed	a
      1 recently	beat	the
      1 recent	developments	in
      1 recent	decades	in
      1 reasons	as	many
      1 reasoning	attain	knowledge
      1 realize	and	promise
      1 reality	most	scientists
      1 realistic	tool	Automation
      1 Real	Threat	of
      1 real	threat	but
      1 real	people	society
      1 Real	Biases	What
      1 ready	to	share
      1 ready	Oren	Etzioni
      1 Read	original	story
      1 read	could	genuinely
      1 read	about	the
      1 reaches	a	breakthrough
      1 reach	whether	on
      1 re	using	artificial
      1 re	on	the
      1 re	late	to
      1 Re	How	to
      1 re	coming	from
      1 re	casting	such
      1 Rationality	MIRI	publications
      1 rather	than	trying
      1 rather	than	the
      1 rather	than	restricting
      1 rather	than	employing
      1 Rather	artificial	intelligence
      1 rather	a	group
      1 rate	of	progress
      1 Rasgon	a	semiconductor
      1 rapidly	While	science
      1 rapidly	developing	field
      1 Rao	a	founder
      1 ransomware	Comments	Feed
      1 ransomware	are	starting
      1 radically	transform	our
      1 Racing	to	the
      1 race	to	build
      1 r	r	martin
      1 r	martin	technology
      1 R	Clapper	the
      1 questions	in	the
      1 question	resembles	the
      1 question	answering	machine
      1 quarter	of	revenue
      1 quality	especially	when
      1 q	as	
      1 puts	1	billion
      1 Putin	says	that
      1 Putin	Leader	in
      1 put	together	an
      1 put	the	matter
      1 put	My	A
      1 push	flush	true
      1 push	beyond	the
      1 purposes	Though	concerns
      1 purpose	Examples	compassionate
      1 publications	Stanford	One
      1 public	understanding	of
      1 public	good	rather
      1 public	anxiety	over
      1 providers	who	serve
      1 provided	by	Newsy
      1 provide	insights	that
      1 proved	well	suited
      1 Protects	Its	Lead
      1 protected	rights	protected
      1 protected	from	other
      1 protected	from	corporations
      1 Protect	Lead	Intel
      1 Protect	Lead	In
      1 prospects	for	millions
      1 propose	three	rules
      1 property	of	a
      1 properly	we	chose
      1 properly	known	as
      1 proof	How	today
      1 promising	are	lower
      1 promises	to	make
      1 promised	that	Russia
      1 promise	to	radically
      1 promise	to	make
      1 promise	of	A
      1 prominent	examples	of
      1 projects	like	using
      1 project	utilizing	a
      1 Project	s	Artificial
      1 progressing	rapidly	While
      1 progress	toward	the
      1 progress	on	A
      1 progress	and	its
      1 progress	A	I
      1 programs	that	identify
      1 programs	that	diagnose
      1 programs	called	neural
      1 programming	language	LISP
      1 programmer	s	code
      1 programmed	to	kill
      1 programmed	to	do
      1 program	TV	channels
      1 program	the	channels
      1 program	that	recently
      1 program	guided	by
      1 program	AlphaGo	an
      1 profits	for	the
      1 profitable	A	I
      1 profit	from	the
      1 Professor	of	Computer
      1 Professor	at	Arizona
      1 professor	and	author
      1 professions	requiring	nuanced
      1 professionals	predict	what
      1 products	that	now
      1 products	and	services
      1 productivity	Source	Why
      1 product	the	Facebook
      1 product	the	better
      1 product	of	intelligence
      1 produced	as	a
      1 produce	fake	tweets
      1 produce	fake	news
      1 processors	But	its
      1 processor	Accelerators	include
      1 processing	chips	used
      1 processes	etc	But
      1 problems	with	artificial
      1 problems	too	complex
      1 problems	First	most
      1 problem	of	mass
      1 problem	is	that
      1 privy	to	or
      1 privileged	few	A
      1 private	industry	is
      1 private	corporate	and
      1 privacy	It	s
      1 privacy		
      1 Priorities	for	Robust
      1 print	on	November
      1 print	on	July
      1 prime	position	to
      1 primary	limit	on
      1 pricing	data	and
      1 price	prediction	says
      1 Pretty	Huge	Leaps
      1 pressures	that	are
      1 pressures	from	robots
      1 pressures	are	almost
      1 President	Vladimir	Putin
      1 President	Barack	Obama
      1 presenting	us	with
      1 presenting	its	newest
      1 prerequisite	to	grander
      1 Preparing	for	the
      1 prediction	says	Giorgos
      1 predict	what	combinations
      1 predict	impact	says
      1 Precipice	a	Model
      1 practices	for	it
      1 practical	applications	of
      1 powered	virtual	teaching
      1 power	to	automate
      1 power	their	booking
      1 power	meetings	where
      1 power	its	site
      1 pouring	their	efforts
      1 potentially	stand	to
      1 potentially	more	dangerous
      1 potential	of	helping
      1 potential	of	addictive
      1 potential	impact	on
      1 potential	effects	of
      1 Post	IBM	and
      1 Post	How	artificial
      1 Post	China	artificial
      1 possibly	go	wrong
      1 positive	anecdote	about
      1 Positive	and	Negative
      1 position	to	acquire
      1 position	and	promised
      1 Poses	Extinction	Risk
      1 poses	a	fundamental
      1 portrays	AI	as
      1 porn	stars	
      1 porn	porn	stars
      1 population	can	be
      1 pop	culture	from
      1 poorly	suited	for
      1 policy	organization	set
      1 Policy	Artificial	Intelligence
      1 policing	in	areas
      1 poised	to	succeed
      1 point	of	the
      1 point	in	history
      1 point	for	discussion
      1 pm	Research	for
      1 plot	of	a
      1 playing	program	AlphaGo
      1 playing	against	them
      1 Playing	A	I
      1 players	in	the
      1 player	of	the
      1 play	the	intricate
      1 play	a	series
      1 platform	sees	persistent
      1 plans	to	do
      1 plans	and	its
      1 planning	and	cross
      1 planet	or	the
      1 places	top	down
      1 place	about	the
      1 Pivoting	to	Artificial
      1 Pivoting	to	A
      1 Pioneer	Transcending	Complacency
      1 piece	of	artificial
      1 Photo	Steve	Debenport
      1 Photo	Francois	Mori
      1 Photo	credit	Shutterstock
      1 Photo	chief	executive
      1 Peter	Norvig	a
      1 personal	computers	have
      1 personal	assistants	This
      1 person	these	weapons
      1 persistent	revenue	headwinds
      1 perhaps	most	consequential
      1 Perhaps	it	s
      1 perhaps	be	used
      1 perhaps	altogether	About
      1 performs	as	a
      1 performed	a	number
      1 performance	The	company
      1 performance	properly	we
      1 performance	on	artificial
      1 perform	tasks	that
      1 perform	a	narrow
      1 perception	A	I
      1 People	worry	that
      1 people	will	be
      1 people	use	every
      1 people	Two	main
      1 people	society	needs
      1 people	skills	that
      1 people	realize	and
      1 people	like	Mr
      1 people	less	12
      1 people	into	committing
      1 people	in	tasks
      1 people	in	certain
      1 People	die	by
      1 people	before	they
      1 people	a	sense
      1 peer	of	Kurzweil
      1 paying	jobs	involving
      1 patterns	We	look
      1 Paths	Dangers	Strategies
      1 path	from	our
      1 patchwork	fashion	When
      1 password	cracking	roads
      1 passive	vessels	dredging
      1 Partnership	on	AI
      1 particular	the	rise
      1 participate	in	a
      1 part	to	dystopian
      1 part	An	international
      1 parent	nation	s
      1 paranoid	to	be
      1 paradigm	one	that
      1 papers	and	understand
      1 palatable	to	a
      1 Page	SR6	of
      1 Page	E2	of
      1 Oxford	University	told
      1 Oxford	University	s
      1 owning	those	A
      1 owned	British	artificial
      1 own	nonhuman	language
      1 own	First	an
      1 own	company	and
      1 Own	Artificial	Intelligence
      1 Own	Abstractionsalphagoartificial	intelligencecomputer
      1 overtake	us	The
      1 overly	optimistic	forecast
      1 over	the	rise
      1 over	the	dangers
      1 over	the	corporate
      1 over	most	jobs
      1 over	job	losses
      1 over	into	The
      1 outsourcing	are	serious
      1 outperform	humans	at
      1 outlying	specialized	chips
      1 outlook	isn	t
      1 out	what	combination
      1 out	so	far
      1 out	Researchers	at
      1 out	of	harm
      1 out	may	be
      1 Out	Humanity	Artificial
      1 our	world	not
      1 our	two	current
      1 our	human	intelligence
      1 our	futures	Siri
      1 our	futures	Letter
      1 our	experts	for
      1 our	experiment	as
      1 Our	common	law
      1 our	best	bet
      1 our	best	A
      1 our	A	I
      1 other	They	face
      1 other	tech	giants
      1 other	pressures	that
      1 other	pressures	are
      1 other	nations	
      1 other	individuals	terrorists
      1 other	countries	essentially
      1 original	story	Facebook
      1 organization	set	up
      1 organisations	Robots	Artificial
      1 org	Hackers	will
      1 Oren	Etzioni	Op
      1 Oren	Etzioni	is
      1 or	worse	A
      1 or	weak	AI
      1 Or	to	put
      1 or	the	way
      1 or	the	United
      1 or	the	information
      1 or	the	fastest
      1 or	terrorist	threats
      1 or	specific	Musk
      1 or	scrolling	through
      1 or	retraining	people
      1 or	perhaps	be
      1 or	not	you
      1 or	in	an
      1 or	I	m
      1 or	disclose	confidential
      1 or	corporation	Even
      1 or	by	playing
      1 or	anticipate	Simply
      1 or	another	we
      1 options	will	they
      1 Optimists	have	said
      1 optimistically	A	I
      1 optimistic	forecast	Humans
      1 opportunity	to	rethink
      1 opinions	of	artificial
      1 Opinion	These	3
      1 Opinion	is	divided
      1 Opinion	How	to
      1 Opinion	Ethics	and
      1 Opinion	Artificial	Intelligence
      1 Opinion		
      1 operator	This	rule
      1 operations	to	other
      1 OpenAI	which	has
      1 open	license	on
      1 Open	Letter	Research
      1 open	efforts	at
      1 opaque	nature	of
      1 Op	Ed	Sept
      1 op	ed	appears
      1 only	robot	Part
      1 only	grows	
      1 only	facial	1
      1 online	class	on
      1 One	way	or
      1 one	that	places
      1 one	technology	but
      1 one	positive	anecdote
      1 one	of	technology
      1 one	instance	we
      1 One	Hundred	Year
      1 once	produced	as
      1 on	Wednesday	18
      1 on	weapons	jobs
      1 On	Us	Can
      1 on	Twitter	A
      1 On	Tuesday	to
      1 on	Timur	Kalimov
      1 on	three	rules
      1 on	those	but
      1 on	the	verge
      1 on	the	long
      1 on	the	likely
      1 on	the	job
      1 on	the	front
      1 on	the	factory
      1 On	the	contrary
      1 on	the	artificial
      1 on	that	an
      1 on	teaching	machines
      1 on	Superintelligent	Machines
      1 on	Steering	Artificial
      1 on	stage	before
      1 on	ransomware	Comments
      1 on	ransomware	are
      1 on	Page	SR6
      1 on	Page	E2
      1 on	November	6
      1 on	Machine	Science
      1 on	July	30
      1 on	July	12
      1 on	jobs	Topics
      1 on	jobs	Optimists
      1 on	jobs	and
      1 on	Its	Own
      1 on	humanity	I
      1 on	human	knowledge
      1 on	how	to
      1 on	how	smart
      1 on	How	artificial
      1 on	equal	footing
      1 on	areas	such
      1 on	AI	aims
      1 on	a	We
      1 on	a	global
      1 oh	Musk	and
      1 often	the	answer
      1 often	portrays	AI
      1 often	causes	public
      1 officer	for	Kayak
      1 office	work	for
      1 office	Artificial	intelligence
      1 offer	a	more
      1 off	with	the
      1 off	switch	Beyond
      1 of	your	home
      1 of	years	if
      1 of	us	researcher
      1 of	unruly	Instead
      1 of	travelers	A
      1 of	thrones	george
      1 of	Thrones	book
      1 of	this	op
      1 of	this	article
      1 of	their	human
      1 of	their	exceptional
      1 of	their	A
      1 of	the	wrong
      1 of	the	world
      1 of	the	workforce
      1 of	the	Topics
      1 of	the	The
      1 of	the	technology
      1 of	the	technologies
      1 of	the	smartest
      1 of	the	sixth
      1 of	the	race
      1 of	the	programming
      1 of	the	most
      1 of	the	money
      1 of	The	Master
      1 of	the	jobs
      1 of	the	global
      1 of	the	founders
      1 of	the	field
      1 of	the	experiment
      1 of	the	early
      1 of	the	breakthroughs
      1 of	the	artificial
      1 of	the	answer
      1 of	the	Allen
      1 of	that	information
      1 of	tests	by
      1 of	technology	s
      1 of	Sweigert	who
      1 of	super	smart
      1 of	statistical	correlations
      1 of	skills	artificial
      1 of	service	attacks
      1 of	SEATTLEPI	COM
      1 of	robots	and
      1 of	robotics	that
      1 of	robotics	and
      1 of	revenue	declines
      1 of	research	diagnosis
      1 of	related	technologies
      1 of	purpose	Examples
      1 of	progress	and
      1 of	products	and
      1 of	people	less
      1 of	patterns	We
      1 of	our	two
      1 of	Our	Final
      1 of	one	instance
      1 of	office	work
      1 of	Nervana	Lake
      1 of	National	Intelligence
      1 of	my	own
      1 of	millions	of
      1 of	medical	knowledge
      1 of	mass	unemployment
      1 of	love	These
      1 of	look	for
      1 of	Life	Institute
      1 of	laws	that
      1 of	Kurzweil	s
      1 of	knowledge	of
      1 of	jobs	in
      1 of	jobs	A
      1 of	its	Go
      1 of	international	competition
      1 of	Intelligence	White
      1 of	intelligence	so
      1 of	information	from
      1 of	individual	Most
      1 of	Ice	And
      1 of	humanity	in
      1 of	humanity	during
      1 of	human	knowledge
      1 of	human	cognition
      1 of	human	civilization
      1 of	Hopper	New
      1 of	homes	is
      1 of	helping	civilization
      1 of	harm	s
      1 of	Growth	Accenture
      1 of	good	and
      1 of	Go	with
      1 of	Go	to
      1 of	games	from
      1 of	factors	is
      1 of	enabling	and
      1 of	economic	expansion
      1 of	during	a
      1 of	domains	not
      1 of	distraction	needs
      1 of	depravity	then
      1 of	DeepMind	said
      1 of	data	Feed
      1 of	crime	A
      1 of	Computer	Science
      1 of	civilization	stem
      1 of	caution	The
      1 of	cancer	A
      1 of	California	Berkeley
      1 of	bots	computer
      1 of	autonomous	vehicles
      1 of	another	I
      1 of	an	online
      1 of	an	attack
      1 of	an	Artificial
      1 of	Americans	in
      1 of	all	the
      1 of	AI	Stuart
      1 of	AI	is
      1 of	addictive	clicker
      1 of	a	start
      1 of	a	sci
      1 of	a	privileged
      1 of	23	Terrifyingly
      1 of	22	Facebook
      1 of	22	14
      1 of	22	12
      1 October	from	1
      1 occupations	with	more
      1 obvious	the	aigency
      1 object	travels	through
      1 Obama	veteran	as
      1 Obama	under	former
      1 Obama	advising	the
      1 Nvidia	s	data
      1 number	of	tests
      1 number	of	jobs
      1 number	of	individual
      1 number	of	homes
      1 nukes	And	Stephen
      1 nuanced	or	specific
      1 nuanced	human	interaction
      1 now	utilize	for
      1 now	that	we
      1 now	exist	are
      1 now	concentrated	in
      1 now	and	that
      1 November	6	2014
      1 November	2016	about
      1 nots	both	within
      1 nothing	to	worry
      1 not	you	agree
      1 not	to	reveal
      1 not	taking	certain
      1 not	replace	It
      1 not	obvious	the
      1 not	like	a
      1 not	just	one
      1 not	just	loans
      1 not	in	the
      1 not	human	As
      1 not	excuse	illegal
      1 not	especially	nuanced
      1 not	be	weaponized
      1 not	be	able
      1 not	arise	for
      1 Not	Apply	Nick
      1 not	an	admired
      1 not	always	for
      1 not	alone	in
      1 not	a	robot
      1 Norvig	a	peer
      1 nonprofit	based	in
      1 nonhuman	language	look
      1 nonhuman	language	Add
      1 no	longer	constrained
      1 no	known	path
      1 no	closed	door
      1 NIPS	2017	ReportJanuary
      1 Nick	Bostrom	on
      1 next	step	now
      1 next	great	hurdle
      1 next	Game	of
      1 next	frontier	That
      1 next	decade	and
      1 next	A	Song
      1 Newsy	Newslook	Tesla
      1 Newslook	Tesla	and
      1 news	videos	My
      1 newest	data	center
      1 New	York	mission
      1 New	York	addressing
      1 New	York	_taboola
      1 new	leader	An
      1 new	important	driver
      1 new	framework	for
      1 new	focus	of
      1 new	computing	hardware
      1 New	artificial	intelligence
      1 new	AI	based
      1 new	A	I
      1 new		
      1 Nevertheless	even	A
      1 never	find	the
      1 never	before	as
      1 Neuroscience	Theses	are
      1 neuroscience	inspired	artificial
      1 neural	networks	which
      1 neural	networks	teach
      1 networks	which	learn
      1 networks	teach	themselves
      1 networks	players	in
      1 networks		
      1 networking	giant	isn
      1 net	he	said
      1 Nervana	Lake	Crest
      1 neither	of	our
      1 negotiate	with	whichever
      1 negotiate	remarkably	well
      1 Negative	Factor	in
      1 needs	to	regulate
      1 needs	to	get
      1 needs	assurances	that
      1 needs	and	that
      1 needs	14	Space
      1 needed	to	predict
      1 need	then	smart
      1 Need	Not	Apply
      1 need	a	new
      1 near	future	fear
      1 naysayers	claiming	it
      1 Naveen	G	Rao
      1 nature	of	super
      1 natural	to	ask
      1 natural	next	step
      1 nations	Or	to
      1 nations	like	China
      1 nations		
      1 National	Intelligence	said
      1 nation	s	governors
      1 nation	s	A
      1 Nathaniel	Rochester	and
      1 Nasdaq	BOTZ	26
      1 narrow	task	e
      1 narrow	AI	or
      1 narrative	potential	of
      1 names	they	are
      1 mystery	It	s
      1 My	three	A
      1 My	third	rule
      1 my	spine	But
      1 My	second	rule
      1 my	own	First
      1 my	lab	at
      1 my	fear	Silicon
      1 My	A	I
      1 must	take	the
      1 must	have	an
      1 must	clearly	disclose
      1 must	be	subject
      1 Musk	vs	Zuck
      1 Musk	says	the
      1 Musk	said	You
      1 Musk	s	view
      1 Musk	recently	urged
      1 Musk	recently	said
      1 Musk	insists	that
      1 Musk	has	called
      1 Musk	has	been
      1 Musk	Government	needs
      1 Musk	and	Zuckerberg
      1 Musk	and	Mr
      1 Musk	and	Mark
      1 Musk	and	Facebook
      1 multi	millennia	history
      1 Muehlhauser	Superintelligence	Paths
      1 Muehlhauser	MIRI	Artificial
      1 much	money	a
      1 Mr	Musk	s
      1 Mr	Musk	insists
      1 Mr	Musk	and
      1 Mr	Hawking	to
      1 Mr	Etzioni	characterized
      1 Mr	Barrat	said
      1 Movies	Transcendence	Our
      1 Move	It	Forward
      1 Motivation	and	Instrumental
      1 mostly	displaced	So
      1 most	scientists	working
      1 most	prominent	examples
      1 most	practical	applications
      1 most	people	realize
      1 most	of	their
      1 most	of	the
      1 most	jobs	humans
      1 most	influential	biomedical
      1 most	countries	will
      1 most	consequential	challenge
      1 most	complex	AI
      1 Most	benefits	of
      1 most	artificial	intelligence
      1 MOSCOW	Russian	President
      1 Mori	AP	AP
      1 more	tips	on
      1 more	than	just
      1 more	than	anything
      1 more	than	400
      1 more	so	if
      1 more	savings	But
      1 More	promising	are
      1 more	optimistically	A
      1 more	near	future
      1 more	Image	22
      1 more	Image	17
      1 more	data	you
      1 more	dangerous	than
      1 more	concrete	basis
      1 more	coming	Robotics
      1 more	accurate	price
      1 more	8	Crime
      1 monopolist	position	and
      1 money	created	by
      1 money	being	made
      1 money	a	company
      1 moment	there	is
      1 Modern	Approach	which
      1 models	having	worked
      1 Model	of	Artificial
      1 Modal	Trigger	Artificial
      1 mobile	software	You
      1 misunderstood	term	thanks
      1 mission	known	as
      1 mission	focused	on
      1 MIRI	publications	Stanford
      1 MIRI	Basic	AI
      1 MIRI	Artificial	Intelligence
      1 Minsky	Nathaniel	Rochester
      1 minority	Artificial	intelligence
      1 minimize	the	looming
      1 minds	to	fully
      1 mind	the	entire
      1 millions	The	outlying
      1 millions	of	SEATTLEPI
      1 millions	of	people
      1 millions	of	distraction
      1 millions	of	Americans
      1 millions	from	Washington
      1 million	last	year
      1 millennia	history	of
      1 might	be	a
      1 Microsoft	and	other
      1 Microsoft	Amazon	Baidu
      1 microdiscoveries	progress	toward
      1 Michael	Wooldridge	Professor
      1 mentions	artificial	intelligence
      1 members	and	is
      1 meetings	where	transparency
      1 meeting	on	artificial
      1 Meet	the	man
      1 medicine	and	scientific
      1 medical	service	providers
      1 medical	professionals	predict
      1 medical	knowledge	about
      1 Media	Articles	Concerns
      1 mean	we	have
      1 mean	This	doesn
      1 mean	they	weren
      1 mean	robots	will
      1 mean	for	humanity
      1 mean	arresting	people
      1 me	recognize	that
      1 me	most	artificial
      1 me	first	explain
      1 me	as	unavoidable
      1 McGouldrick	may	be
      1 McDonnell		
      1 McCarthy	who	coined
      1 McCarthy	inventor	of
      1 maybe	not	in
      1 may	not	arise
      1 may	never	find
      1 may	inadvertently	divulge
      1 may	in	fact
      1 may	have	artificial
      1 may	be	the
      1 may	be	in
      1 may	be	feasible
      1 Max	Tegmark	The
      1 matter	more	optimistically
      1 mastered	an	array
      1 Master	Algorithm	has
      1 mass	unemployment	I
      1 Marvin	Minsky	Nathaniel
      1 martin	technology	46
      1 markets	while	developing
      1 markets	It	seems
      1 markets	and	some
      1 market	and	perhaps
      1 Mark	Zuckerberg	over
      1 Mark	Zuckerberg	have
      1 marching	down	Main
      1 March	Intel	created
      1 maps	of	your
      1 many	medical	professionals
      1 many	jobs	Bank
      1 many	investors	are
      1 many	doors	to
      1 many	companies	hospitals
      1 many	as	the
      1 manipulation	or	terrorist
      1 man	who	takes
      1 making	improvements	to
      1 making	extensive	use
      1 makes	life	easier
      1 makes		
      1 make	travel	a
      1 make	the	artificial
      1 make	scientific	discoveries
      1 make	life	easier
      1 make	if	it
      1 make	existing	cyberattack
      1 make	decisions	And
      1 make	AI	safety
      1 majority	of	travelers
      1 major	breakthrough	for
      1 mainstream	data	center
      1 Main	Street	Rather
      1 main	story	My
      1 main	story	I
      1 main	problems	with
      1 magazine	account	in
      1 Made	Some	Pretty
      1 made	of	during
      1 made	from	artificial
      1 Made	Big	Leaps
      1 made	A	I
      1 Machines	Why	We
      1 machines	to	read
      1 machines	could	drastically
      1 machines	can	comprehend
      1 machines	can	become
      1 machines	as	taking
      1 machines	and	Tags
      1 machines	and	
      1 Machine	Science	Goes
      1 machine	learning	to
      1 machine	learning	a
      1 machine	learning	
      1 Machine	Ethics	Luke
      1 machine	A	I
      1 m	not	alone
      1 lying	Uh	oh
      1 Luke	Muehlhauser	Superintelligence
      1 Luke	Muehlhauser	MIRI
      1 lower	paying	jobs
      1 love	to	hear
      1 love	These	are
      1 love	about	civilization
      1 losses	This	anxiety
      1 loser	is	not
      1 looming	A	I
      1 looking	to	both
      1 Looking	specifically	into
      1 looking	for	more
      1 look	for	breakthroughs
      1 longer	constrained	by
      1 long	way	to
      1 long	term	future
      1 long	long	way
      1 long	From	SIRI
      1 London	the	two
      1 loans	and	as
      1 ll	tell	you
      1 ll	let	someone
      1 ll	breathlessly	tell
      1 live		
      1 little	smarter	The
      1 little	smarter	Does
      1 little	secret	is
      1 listens	during	a
      1 list	of	skills
      1 LISP	coined	the
      1 lines	of	research
      1 limits	of	human
      1 limited	extent	their
      1 limitations	of	their
      1 limit	on	how
      1 likely	Tags	artificial
      1 likely	impact	of
      1 like	using	A
      1 like	us	but
      1 like	Uber	would
      1 like	the	Google
      1 like	OpenAI	which
      1 like	never	before
      1 like	Mr	Musk
      1 like	me	recognize
      1 like	Jill	are
      1 like	identity	theft
      1 like	humans	we
      1 like	data	driven
      1 like	China	will
      1 like	a	fish
      1 like	a	child
      1 like	a	bird
      1 lights	or	worse
      1 Lifelike	robots	take
      1 life	It	will
      1 Life	Institute	RSS2
      1 Life	Institute	iCal
      1 Life	Institute	Benefits
      1 life	easier	Watson
      1 life	easier	for
      1 Life	3	0
      1 license	on	areas
      1 liability	because	it
      1 letting	the	parent
      1 Letter	Research	Priorities
      1 Letter	Artificial	intelligence
      1 let	someone	else
      1 Let	s	Unstick
      1 let	me	first
      1 lesson	from	history
      1 less	Washington	professor
      1 less	14	Space
      1 less	12	Unemployment
      1 left	the	barn
      1 left	after	a
      1 Lee	Sedol	the
      1 least	slow	down
      1 least	one	positive
      1 learnt	by	itself
      1 Learns	to	Learn
      1 learningneural	networks	players
      1 learningneural	networks	
      1 learning	to	analyze
      1 learning	in	which
      1 learning	a	form
      1 learning		
      1 learn	specific	tasks
      1 learn	from	humans
      1 Learn	Entirely	on
      1 learn		
      1 Leaps	This	Week
      1 leads	to	the
      1 leading	to	an
      1 leading	by	some
      1 leader	in	mobile
      1 Leader	in	artificial
      1 leader	An	artificial
      1 Lead	While	Pivoting
      1 lead	to	better
      1 lead	people	like
      1 Lead	Intel	While
      1 Lead	In	particular
      1 laws	that	apply
      1 laws	of	robotics
      1 laws	are	elegant
      1 Lawrence	AFP	Getty
      1 law	should	be
      1 launch	in	a
      1 latest	incarnation	of
      1 latest	entrant	is
      1 latest	AI	efforts
      1 late	to	artificial
      1 late	Mr	Musk
      1 Last	year	my
      1 last	year	it
      1 last	year	In
      1 Last	week	s
      1 last	three	years
      1 lashing	out	Researchers
      1 largest	open	efforts
      1 larger	labs	in
      1 large	growing	population
      1 large	chunks	of
      1 languages	lying	Uh
      1 languages	Intel	is
      1 language	translation	speech
      1 language	look	for
      1 language	LISP	coined
      1 language	Add	dealmaking
      1 landscape	the	Silicon
      1 Lake	Crest	is
      1 lacks	social	workers
      1 labs	in	the
      1 labs	in	private
      1 labeled	as	such
      1 lab	reveals	its
      1 lab	recently	performed
      1 lab	at	Georgia
      1 Kurzweil	s	at
      1 Korean	Go	champion
      1 Kong	on	July
      1 Kong		
      1 Koch	and	Stuart
      1 knows	papers	and
      1 known	path	from
      1 known	in	the
      1 known	as	narrow
      1 known	as	learn
      1 known	as	Jill
      1 known	as	Chang
      1 knowledge	the	breakthrough
      1 knowledge	on	equal
      1 knowledge	of	the
      1 knowledge	in	This
      1 knowledge	Dubbed	AlphaGo
      1 knowledge	about	symptoms
      1 know	of	one
      1 know	how	in
      1 know	exist	yet
      1 kind	of	A
      1 kill	us	Artificial
      1 kill	us	all
      1 kill	In	the
      1 Keynesian	approach	I
      1 Kayak	artificial	intelligence
      1 Kalimov	is	head
      1 just	wrote	the
      1 just	three	days
      1 just	the	natural
      1 just	reported	its
      1 just	produce	fake
      1 just	one	technology
      1 just	makes	
      1 just	loans	and
      1 just	common	names
      1 June	6	2016
      1 July	30	2017
      1 July	12	the
      1 July	12	2017
      1 JPG	uuid	bO3beFYDEeeEC1EgJjGdpw
      1 join	us	on
      1 John	McDonnell	
      1 John	McCarthy	who
      1 John	McCarthy	inventor
      1 jobs	Topics	Artificial
      1 jobs	that	A
      1 jobs	Optimists	have
      1 jobs	of	love
      1 jobs	it	can
      1 jobs	involving	the
      1 jobs	involving	creativity
      1 jobs	in	fields
      1 jobs	in	artificial
      1 jobs	in	10
      1 jobs	humans	do
      1 jobs	have	been
      1 jobs	Bank	tellers
      1 jobs	artisans	personal
      1 jobs	and	the
      1 jobs	and	privacy
      1 jobs	A	I
      1 job	market	and
      1 job	losses	This
      1 Jill	Watson	which
      1 Jill	Watson	an
      1 Jill	s	performance
      1 Jill	are	critical
      1 James	R	Clapper
      1 James	Barrat	author
      1 Jaan	Tallinn	on
      1 itself	within	days
      1 its	ultimate	impact
      1 its	site	and
      1 its	progress	A
      1 Its	Own	Artificial
      1 Its	Own	Abstractionsalphagoartificial
      1 its	newest	data
      1 its	naysayers	claiming
      1 its	most	complex
      1 its	mainstream	data
      1 Its	Lead	While
      1 its	know	how
      1 its	impact	on
      1 its	human	operator
      1 its	graphics	processing
      1 its	Go	playing
      1 its	biggest	data
      1 Its	artificial	intelligence
      1 its	AI	dialog
      1 its	A	I
      1 its	22nd	consecutive
      1 it	will	should
      1 it	will	replace
      1 it	will	mean
      1 it	will	eliminate
      1 it	will	comprise
      1 it	What	role
      1 it	was	uniquely
      1 it	uses	artificial
      1 it	used	only
      1 It	Today	s
      1 It	Tells	Us
      1 it	takes	humans
      1 it	stunned	the
      1 It	strikes	me
      1 it	still	has
      1 it	should	not
      1 It	seems	American
      1 it	s	too
      1 it	s	technology
      1 it	s	something
      1 it	s	not
      1 It	s	natural
      1 It	s	because
      1 it	s	a
      1 it	poses	a
      1 It	plans	to
      1 it	out	so
      1 it	might	be
      1 it	made	A
      1 it	knows	papers
      1 It	just	makes
      1 it	It	plans
      1 it	is	not
      1 it	is	designed
      1 it	is	clear
      1 it	in	the
      1 it	in	check
      1 it	Imagine	how
      1 it	Grab	an
      1 It	Forward	SundayReview
      1 It	Forward	Artificial
      1 it	doesn	t
      1 it	does	it
      1 it	comes	to
      1 it	can	reach
      1 it	anticipates	crime
      1 it	all	Also
      1 it	A	I
      1 it	1920_x_1080_iOSA	JPG
      1 issue	He	told
      1 isn	t	entirely
      1 isn	t	done
      1 Isaac	Lawrence	AFP
      1 is	yes	But
      1 is	writing	the
      1 Is	Worried	About
      1 is	to	attempt
      1 is	the	planet
      1 is	the	Future
      1 is	the	dominant
      1 is	the	chief
      1 is	the	author
      1 is	that	it
      1 is	that	if
      1 is	that	an
      1 is	tapping	the
      1 is	taking	place
      1 is	taking	on
      1 is	taking	off
      1 is	tailored	for
      1 Is	Stuck	Let
      1 Is	Stuck	Here
      1 is	spreading	to
      1 is	sponsored	in
      1 is	something	smarter
      1 is	reminiscent	of
      1 is	properly	known
      1 is	progressing	rapidly
      1 is	programmed	to
      1 is	privy	to
      1 is	presenting	us
      1 is	presenting	its
      1 is	potentially	more
      1 is	poorly	suited
      1 is	poised	to
      1 is	part	of
      1 is	not	taking
      1 is	not	just
      1 is	not	human
      1 is	not	an
      1 is	not	a
      1 is	no	known
      1 is	made	of
      1 is	looking	to
      1 is	likely	Tags
      1 is	increasingly	palatable
      1 is	hurrying	to
      1 is	Hopper	which
      1 is	here	to
      1 is	heating	up
      1 is	head	of
      1 is	from	a
      1 is	exploding	with
      1 is	everywhere	Yet
      1 is	divided	on
      1 is	designed	to
      1 is	creating	demand
      1 is	coming	Society
      1 is	colossally	hyped
      1 is	clear	that
      1 is	based	on
      1 is	As	artificial
      1 is	artificial	intelligence
      1 is	an	industry
      1 is	already	underway
      1 is	already	inventing
      1 is	Aeromexico	s
      1 is	Actually	skip
      1 is	a	supercomputer
      1 is	a	reference
      1 is	a	realistic
      1 is	a	product
      1 is	a	misunderstood
      1 is	a	big
      1 Ironic	since	we
      1 iPhone	and	ask
      1 involving	the	people
      1 involving	creativity	planning
      1 involve	service	jobs
      1 involve	educating	or
      1 invests	in	companies
      1 investors	are	already
      1 Investments	into	artificial
      1 investigations	in	collaboration
      1 inventor	of	the
      1 inventor	Elon	Musk
      1 inventing	languages	lying
      1 introduce	them	here
      1 intricate	yet	easy
      1 into	what	could
      1 into	the	sector
      1 into	The	pressures
      1 into	committing	crimes
      1 into	cancer	research
      1 interview	that	anyone
      1 Interview	on	the
      1 internet	connected	robotic
      1 international	treaties	Our
      1 international	competition	the
      1 international	A	I
      1 interface	for	A
      1 interested	in	a
      1 interest	of	caution
      1 interaction	But	here
      1 intended	to	help
      1 intelligent	machines	can
      1 intelligenceJames	R	Clapper
      1 IntelligenceDecember	27	2017
      1 intelligencecomputer	sciencemachine	learningneural
      1 intelligence	won	t
      1 intelligence	without	being
      1 Intelligence	With	Very
      1 intelligence	with	other
      1 intelligence	with	artificial
      1 Intelligence	Wiping	Out
      1 intelligence	will	soon
      1 intelligence	will	rule
      1 intelligence	will	go
      1 Intelligence	will	do
      1 intelligence	will	come
      1 intelligence	will	change
      1 Intelligence	White	House
      1 intelligence	which	is
      1 Intelligence	Turns	On
      1 Intelligence	Tries	to
      1 intelligence	Transparency	is
      1 Intelligence	Too	often
      1 intelligence	today	Roughly
      1 intelligence	today	is
      1 intelligence	to	thank
      1 intelligence	to	select
      1 intelligence	to	program
      1 intelligence	to	power
      1 intelligence	to	finish
      1 intelligence	To	assess
      1 Intelligence	The	technology
      1 Intelligence	The	Superintelligent
      1 intelligence	The	security
      1 Intelligence	The	Real
      1 intelligence	that	there
      1 intelligence	that	s
      1 intelligence	that	doesn
      1 Intelligence	Tech	giants
      1 Intelligence	taught	like
      1 Intelligence	Talks	from
      1 intelligence	system	just
      1 intelligence	supercharges	automation
      1 Intelligence	SundayReview	The
      1 Intelligence	Stephen	Hawking
      1 intelligence	startup	Partnership
      1 intelligence	start	up
      1 intelligence	solutions	are
      1 intelligence	so	how
      1 intelligence	so	amplifying
      1 intelligence	says	it
      1 Intelligence	said	artificial
      1 intelligence	run	amok
      1 intelligence	robots	science
      1 intelligence	robotics	could
      1 Intelligence	Rivals	Human
      1 intelligence	revolution	on
      1 intelligence	revolution	Artificial
      1 intelligence	results	to
      1 Intelligence	Response	to
      1 Intelligence	Research	released
      1 intelligence	research	IBM
      1 intelligence	research	for
      1 intelligence	research	Comments
      1 intelligence	research	BOSTON
      1 intelligence	research	at
      1 intelligence	research	and
      1 intelligence	represents	an
      1 Intelligence	Report	that
      1 intelligence	replace	the
      1 Intelligence	Re	How
      1 intelligence	promises	to
      1 Intelligence	project	utilizing
      1 intelligence	programs	that
      1 Intelligence	Poses	Extinction
      1 intelligence	porn	porn
      1 intelligence	platform	sees
      1 Intelligence	Pioneer	Transcending
      1 intelligence	Photo	chief
      1 intelligence	Perhaps	it
      1 intelligence	people	use
      1 intelligence	Our	final
      1 Intelligence	Opinion	How
      1 Intelligence	Opinion	Ethics
      1 Intelligence	Open	Letter
      1 intelligence	only	grows
      1 intelligence	on	jobs
      1 intelligence	often	causes
      1 intelligence	Musk	vs
      1 intelligence	Musk	Government
      1 Intelligence	Media	Articles
      1 intelligence	Marvin	Minsky
      1 Intelligence	machine	learning
      1 Intelligence	Learns	to
      1 intelligence	leading	to
      1 intelligence	lead	people
      1 intelligence	Last	week
      1 intelligence	lab	recently
      1 intelligence	James	R
      1 intelligence	is	writing
      1 intelligence	is	taking
      1 Intelligence	Is	Stuck
      1 intelligence	is	potentially
      1 intelligence	is	poorly
      1 intelligence	is	increasingly
      1 intelligence	is	creating
      1 Intelligence	is	colossally
      1 intelligence	is	already
      1 intelligence	is	Actually
      1 intelligence	is	a
      1 Intelligence	Intelligence	Explosion
      1 intelligence	industry	a
      1 intelligence	including	governments
      1 intelligence	in	travel
      1 intelligence	in	1955
      1 intelligence	improves	our
      1 intelligence	IBM	and
      1 intelligence	IBM	
      1 Intelligence	How	to
      1 intelligence	has	the
      1 intelligence	has	dramatically
      1 intelligence	has	become
      1 intelligence	has	already
      1 intelligence	group	DeepMind
      1 intelligence	Global	X
      1 intelligence	games	
      1 intelligence	from	a
      1 Intelligence	Explosion	and
      1 Intelligence	Everything	we
      1 intelligence	event	Robotics
      1 Intelligence	Ethics	and
      1 Intelligence	ETF	U
      1 Intelligence	ETF	BOTZ
      1 Intelligence	engineers	to
      1 Intelligence	Development	The
      1 intelligence	defeated	Lee
      1 Intelligence	Deep	Safety
      1 intelligence	cybersecurity	
      1 intelligence	cyber	attacks
      1 Intelligence	could	kill
      1 intelligence	could	finally
      1 intelligence	computer	no
      1 intelligence	company	specialising
      1 intelligence	company	based
      1 intelligence	commission	needed
      1 Intelligence	Comments	Feed
      1 intelligence	comes	in
      1 intelligence	China	
      1 intelligence	chatbots	developed
      1 intelligence	Can	we
      1 intelligence	can	this
      1 Intelligence	Can	artificial
      1 Intelligence	by	Oren
      1 intelligence	books	game
      1 Intelligence	Biotechnology	benefits
      1 intelligence	bid	seeks
      1 intelligence	Benefits	Risks
      1 intelligence	Before	we
      1 intelligence	before	it
      1 intelligence	because	we
      1 intelligence	because	it
      1 Intelligence	Automation	and
      1 intelligence	at	the
      1 intelligence	at	all
      1 intelligence	ask	our
      1 intelligence	as	just
      1 intelligence	Artificial	intelligence
      1 intelligence	aren	t
      1 intelligence	are	side
      1 intelligence	are	enlisting
      1 intelligence	and	what
      1 intelligence	and	their
      1 intelligence	and	robots
      1 intelligence	and	other
      1 Intelligence	and	Neuroscience
      1 intelligence	and	global
      1 Intelligence	and	Existential
      1 intelligence	and	create
      1 intelligence	and	are
      1 intelligence	also	allows
      1 intelligence	AlphaGo	Zero
      1 intelligence	algorithms	are
      1 Intelligence	AI2	a
      1 Intelligence	AI100	Preparing
      1 intelligence	AI	Washington
      1 intelligence	AI	was
      1 intelligence	AI	technologies
      1 Intelligence	AI	system
      1 intelligence	AI	start
      1 intelligence	AI	Robot
      1 intelligence	AI	q
      1 intelligence	AI	Opinion
      1 intelligence	AI	John
      1 intelligence	AI	is
      1 intelligence	AI	in
      1 intelligence	AI	has
      1 intelligence	AI	company
      1 intelligence	AI	by
      1 intelligence	AI	Artificial
      1 intelligence	AI	
      1 Intelligence	acts	aggressive
      1 Intelligence	A19	of
      1 Intelligence	A	Modern
      1 intelligence	a	fundamental
      1 intellectual	version	of
      1 Intel	While	Pivoting
      1 Intel	Protects	Its
      1 Intel	is	hurrying
      1 Intel	created	an
      1 Integrating	that	sort
      1 insurmountable	problems	First
      1 Instrumental	Rationality	MIRI
      1 Institute	RSS2	Feed
      1 Institute	iCal	Feed
      1 Institute	Benefits	Risks
      1 Instead	specialized	chips
      1 instance	we	ve
      1 inspired	by	yet
      1 inspired	artificial	intelligence
      1 insists	that	artificial
      1 insights	that	improve
      1 innocuous	housecleaning	robots
      1 initiatives	via	taxes
      1 initiative	to	firmly
      1 information	without	explicit
      1 information	Think	of
      1 information	that	your
      1 information	from	a
      1 information	Because	of
      1 information	A	I
      1 influential	biomedical	scientist
      1 infatuated	with	technology
      1 inequality	on	a
      1 industry	is	poised
      1 industry	in	which
      1 industry	in	the
      1 industry	Comments	Feed
      1 industry	China	aims
      1 industry	as	accelerators
      1 industry	a	new
      1 Industrial	Revolution	and
      1 individuals	terrorists	protected
      1 individual	viewers	
      1 individual	Most	benefits
      1 individual	acts	of
      1 indistinguishable	from	human
      1 India	in	recent
      1 Indeed	So	if
      1 increasingly	sophisticated	dialogue
      1 increasingly	palatable	to
      1 increasingly	on	the
      1 increasingly	is	looking
      1 increasing	number	of
      1 increased	by	almost
      1 increased	adoption	and
      1 increase	policing	in
      1 including	governments	and
      1 includes	machine	learning
      1 include	graphics	of
      1 incarnation	of	its
      1 inadvertently	divulge	to
      1 in	which	strength
      1 in	which	neural
      1 in	welfare	subsidies
      1 in	wars	could
      1 in	using	computing
      1 in	turbocharged	personal
      1 in	travel	The
      1 in	travel	and
      1 in	This	unique
      1 in	This	doesn
      1 in	the	way
      1 in	the	United
      1 in	the	multi
      1 in	the	minority
      1 In	the	last
      1 in	the	interest
      1 in	the	industry
      1 In	the	hands
      1 in	the	future
      1 in	the	discussion
      1 in	the	case
      1 in	the	box
      1 in	the	automation
      1 in	the	areas
      1 in	the	amorphous
      1 in	the	academy
      1 in	the	1960s
      1 in	the	
      1 in	that	it
      1 in	tasks	A
      1 in	Still	the
      1 in	stealth	artificial
      1 in	Seattle	Washington
      1 in	search	of
      1 in	relatively	few
      1 in	recent	decades
      1 In	reality	most
      1 in	private	industry
      1 in	patchwork	fashion
      1 In	particular	the
      1 in	part	to
      1 in	part	An
      1 in	one	of
      1 in	November	2016
      1 in	New	York
      1 in	my	fear
      1 in	mobile	software
      1 In	March	Intel
      1 in	London	the
      1 in	It	strikes
      1 in	increasingly	sophisticated
      1 in	IBM	is
      1 in	human	affairs
      1 in	huge	amounts
      1 in	Hong	Kong
      1 in	history	when
      1 in	his	her
      1 in	Global	Risk
      1 in	fields	we
      1 In	fact	the
      1 in	fact	have
      1 in	exchange	for
      1 in	enormous	profits
      1 in	developing	artificial
      1 in	developed	markets
      1 in	cyberbullying	stock
      1 in	companies	that
      1 in	common	sense
      1 in	collaboration	with
      1 in	China	and
      1 in	check	
      1 in	certain	occupations
      1 In	case	it
      1 in	Asilomar	CA
      1 in	areas	where
      1 in	an	office
      1 In	an	advanced
      1 In	all	cases
      1 in	a	video
      1 in	a	prime
      1 In	a	major
      1 in	a	discussion
      1 in	a	demonstration
      1 in	a	decade
      1 in	a	career
      1 In	2016	a
      1 in	1955	As
      1 in	10	years
      1 in		
      1 improving	faster	than
      1 improves	our	futures
      1 improvements	to	dialog
      1 improved	Google	Translate
      1 improve	productivity	Source
      1 impregnable	off	switch
      1 important	driver	of
      1 impersonated	Donald	Trump
      1 impact	says	CBI
      1 impact	on	weapons
      1 impact	on	jobs
      1 impact	on	humanity
      1 impact	of	the
      1 impact	of	artificial
      1 impact	of	A
      1 imagine	when	someone
      1 Imagine	how	much
      1 Images	Steve	Debenport
      1 Images	Robot	and
      1 images	recognize	speech
      1 Image	23	of
      1 Image	22	of
      1 Image	17	of
      1 Image	14	of
      1 illegal	behavior	Continue
      1 If	you	view
      1 if	you	understand
      1 if	you	are
      1 if	we	do
      1 If	we	close
      1 if	they	develop
      1 if	slowly	and
      1 if	not	especially
      1 if	most	countries
      1 if	it	used
      1 if	it	made
      1 if	ever	At
      1 if	engineers	weren
      1 IEEE	Special	Report
      1 identity	theft	denial
      1 identify	images	recognize
      1 iconic	In	reality
      1 Ice	And	Fire
      1 iCal	Feed	Future
      1 IBM	is	a
      1 IBM		
      1 I	would	love
      1 I	world	where
      1 I	world	more
      1 I	will	make
      1 I	will	have
      1 I	will	bring
      1 I	weapons	that
      1 I	wave	On
      1 I	tools	like
      1 I	tools	aren
      1 I	to	release
      1 I	to	engage
      1 I	to	advance
      1 I	they	will
      1 I	The	Keynesian
      1 I	tasks	Nvidia
      1 I	tasks	faster
      1 I	systems	that
      1 I	systems	tend
      1 I	systems	have
      1 I	systems	for
      1 I	systems	don
      1 I	systems	are
      1 I	system	must
      1 I	system	did
      1 I	system	cannot
      1 I	system	are
      1 I	suspect	will
      1 I	surpasses	human
      1 I	suggest	a
      1 I	software	China
      1 I	should	not
      1 I	self	aware
      1 I	science	with
      1 I	say	this
      1 I	s	rate
      1 I	s	Future
      1 I	rules	are
      1 I	robots	in
      1 I	revolution	is
      1 I	researchers	like
      1 I	research	small
      1 I	read	about
      1 I	propose	three
      1 I	programs	that
      1 I	programs	called
      1 I	products	that
      1 I	powered	virtual
      1 I	plans	and
      1 I	paradigm	one
      1 I	Order	Reprints
      1 I	once	produced
      1 I	must	have
      1 I	mission	focused
      1 I	markets	It
      1 I	makes	life
      1 I	Made	Big
      1 I	machines	as
      1 I	m	not
      1 I	ll	tell
      1 I	ll	let
      1 I	like	OpenAI
      1 I	lacks	social
      1 I	know	of
      1 I	it	will
      1 I	Is	Stuck
      1 I	is	spreading
      1 I	is	presenting
      1 I	is	part
      1 I	is	exploding
      1 I	is	everywhere
      1 I	is	coming
      1 I	is	an
      1 I	is	a
      1 I	introduce	them
      1 I	intelligence	start
      1 I	in	the
      1 I	I	suggest
      1 I	I	propose
      1 I	horse	has
      1 I	have	sketched
      1 I	Has	Made
      1 I	has	its
      1 I	has	helped
      1 I	has	become
      1 I	harm	based
      1 I	group	headed
      1 I	fueled	gap
      1 I	fear	however
      1 I	easily	could
      1 I	don	t
      1 I	did	it
      1 I	development	we
      1 I	companies	to
      1 I	companies	continue
      1 I	challenge	any
      1 I	cannot	do
      1 I	can	t
      1 I	can	also
      1 I	businesses	to
      1 I	both	as
      1 I	believe	the
      1 I	believe	sound
      1 I	Barbie	Even
      1 I	at	all
      1 I	as	well
      1 I	and	expanding
      1 I	agent	could
      1 I	advancement	can
      1 I	a	public
      1 I	a	prerequisite
      1 HyperScience	an	artificial
      1 hyped	these	days
      1 hurrying	to	catch
      1 hurdle	in	A
      1 hundreds	of	years
      1 hundreds	of	millions
      1 Hundred	Year	Study
      1 humorously	impersonated	Donald
      1 humans	we	need
      1 humans	out	of
      1 humans	or	by
      1 Humans	Need	Not
      1 humans	in	the
      1 humans	do	now
      1 humans	can	do
      1 humans	at	A
      1 Humans	are	best
      1 humans	are	active
      1 humanoid	robot	from
      1 humanity	There	are
      1 Humanity	Says	Oxford
      1 humanity	in	a
      1 humanity	I	don
      1 humanity	during	a
      1 Humanity	Artificial	Intelligence
      1 humanity	an	alarmist
      1 human	values	it
      1 human	teaching	assistants
      1 human	soldiers	with
      1 Human	Rights	Watch
      1 human	operator	This
      1 human	minds	to
      1 human	knowledge	the
      1 human	knowledge	Dubbed
      1 human	interface	for
      1 human	interaction	But
      1 human	intelligence	with
      1 human	intelligence	leading
      1 human	intelligence	at
      1 Human	in	the
      1 Human	Era	So
      1 Human	Era	June
      1 human	developers	Its
      1 Human	Dealmakers	At
      1 human	cognition	remains
      1 human	civilization	Video
      1 human	civilization	
      1 human	brain	Will
      1 human	As	we
      1 human	Artificial	Intelligence
      1 human	affairs	They
      1 Huge	Leaps	This
      1 however	that	neither
      1 how	we	work
      1 How	today	s
      1 how	to	play
      1 How	to	Move
      1 how	to	minimize
      1 how	to	code
      1 how	to	break
      1 how	smart	machines
      1 how	much	money
      1 how	in	artificial
      1 how	can	we
      1 housecleaning	robots	create
      1 House	s	work
      1 House	report	that
      1 hours	than	they
      1 hottest	corners	artificial
      1 hospitals	and	research
      1 Horvitz	Max	Tegmark
      1 horse	has	left
      1 Hopper	which	uses
      1 Hopper	New	artificial
      1 Hopper	and	similar
      1 Hong	Kong	on
      1 Hong	Kong	
      1 homes	is	privy
      1 home	That	My
      1 hits	different	groups
      1 history	when	A
      1 history	of	the
      1 history	is	As
      1 his	her	mind
      1 his	concerns	over
      1 here	too	there
      1 here	to	help
      1 Here	s	What
      1 Here	s	How
      1 here	as	a
      1 her	Mr	Etzioni
      1 her	mind	the
      1 Heni	Ben	Amor
      1 helping	civilization	flourish
      1 helped	many	medical
      1 help	Read	original
      1 help	not	replace
      1 help	But	if
      1 help	answer	students
      1 heating	up	Time
      1 hear	at	least
      1 health	solutions	People
      1 headwinds	and	increasingly
      1 headline	The	Real
      1 headline	Intel	Protects
      1 headline	How	to
      1 headline	Artificial	Intelligence
      1 headline	A	I
      1 headed	by	Naveen
      1 head	of	products
      1 He	told	the
      1 he	said	I
      1 HBO	show	is
      1 Hawking	to	worry
      1 Hawking	one	of
      1 Hawking	Is	Worried
      1 having	worked	on
      1 having	its	most
      1 having	analytical	software
      1 haves	and	the
      1 have	very	differing
      1 have	to	start
      1 have	the	better
      1 have	sketched	out
      1 have	seen	in
      1 have	said	that
      1 have	proved	well
      1 have	nots	both
      1 have	nothing	to
      1 have	mastered	an
      1 have	I	they
      1 have	enough	successful
      1 have	been	unnerved
      1 have	been	displaced
      1 have	artificial	intelligence
      1 have	an	impregnable
      1 have	already	seen
      1 Hassabis	founder	and
      1 Hassabis	a	top
      1 has	unveiled	the
      1 has	the	potential
      1 has	said	replacing
      1 Has	Made	Some
      1 has	left	the
      1 has	its	naysayers
      1 has	increased	by
      1 has	helped	many
      1 has	experience	with
      1 has	dramatically	improved
      1 has	called	artificial
      1 has	billed	the
      1 has	been	vocal
      1 has	been	the
      1 has	become	the
      1 has	become	part
      1 has	already	taken
      1 has	about	50
      1 has	a	long
      1 harm	when	it
      1 harm	s	way
      1 harm	s	8
      1 harm	based	on
      1 hardware	tailored	to
      1 Happens	When	Artificial
      1 Hanson	Robotics	at
      1 hands	of	the
      1 hands	comes	in
      1 handle	vast	amounts
      1 Han	the	Robot
      1 Hal	s	glowing
      1 Hackers	will	use
      1 hackers	Source	New
      1 hackers	Investments	into
      1 hackers	Hackers	will
      1 guided	by	artificial
      1 growth	curves	and
      1 Growth	Accenture	2016
      1 grows		
      1 growing	population	can
      1 growing	list	of
      1 groups	differently	there
      1 group	of	related
      1 group	headed	by
      1 group	DeepMind	has
      1 great	hurdle	in
      1 graphics	processing	chips
      1 graphics	of	the
      1 grander	projects	like
      1 Grab	an	iPhone
      1 governors	to	regulate
      1 governments	In	an
      1 governments	and	companies
      1 government	systems	We
      1 government	should	consider
      1 government	services	to
      1 government	organisations	Robots
      1 Government	needs	to
      1 Google	Translate	
      1 Google	s	latest
      1 Google	s	Game
      1 Google	s	A
      1 Google	owned	British
      1 Google	of	Artificial
      1 Google	Microsoft	and
      1 Google	Earlier	this
      1 Google	computer	program
      1 Google	Builds	China
      1 good	rather	than
      1 good	at	Artificial
      1 good	and	bad
      1 going	to	have
      1 Goes	to	the
      1 Goertzel	center	listens
      1 go	wrong	let
      1 Go	with	Google
      1 go	to	the
      1 Go	to	general
      1 Go	to	Although
      1 go	Sure	A
      1 Go	playing	program
      1 Go	champion	for
      1 glowing		
      1 Global	X	Robotics
      1 global	software	industry
      1 global	scale	These
      1 Global	Risk	MIRI
      1 global	outsourcing	are
      1 Global	health	solutions
      1 Global	2000	companies
      1 give	people	a
      1 Giorgos	Zacharia	the
      1 giants	who	sell
      1 giants	studying	artificial
      1 giants	is	tapping
      1 giant	isn	t
      1 giant	is	presenting
      1 giant	acquired	DeepMind
      1 Getty	Images	Steve
      1 Getty	Images	Robot
      1 get	ready	Oren
      1 get	into	what
      1 get	computers	to
      1 Georgia	Tech	created
      1 george	r	r
      1 genuinely	change	the
      1 genius	keep	it
      1 genetic	investigations	in
      1 general	A	I
      1 gap	between	the
      1 gamut	of	laws
      1 games	from	chess
      1 games	exponential	growth
      1 games		
      1 gamers	in	turbocharged
      1 Game	Playing	A
      1 game	of	thrones
      1 game	known	as
      1 game	By	freeing
      1 G	Rao	a
      1 g	only	facial
      1 futurist	Elon	Musk
      1 futures	Siri	Alexa
      1 futures	Letter	Artificial
      1 Future	proof	How
      1 future	Photo	credit
      1 Future	of	Life
      1 Future	of	Intelligence
      1 future	of	humanity
      1 Future	of	Growth
      1 future	of	AI
      1 Future	Google	s
      1 future	fear	is
      1 further	the	three
      1 funding	A	I
      1 fundamental	risk	to
      1 fundamental	existential	risk
      1 fund	welfare	initiatives
      1 fully	comprehend	in
      1 fully	comprehend	his
      1 fully	comprehend	2009
      1 full	gamut	of
      1 fueled	gap	between
      1 frontier	That	s
      1 front	lines	of
      1 from	Washington	professor
      1 from	the	source
      1 from	the	iconic
      1 from	the	dependent
      1 from	the	Beneficial
      1 From	SIRI	to
      1 from	science	fiction
      1 from	robots	artificial
      1 from	our	best
      1 from	other	individuals
      1 from	intelligence	so
      1 from	Indeed	So
      1 from	increased	adoption
      1 from	humans	or
      1 from	human	teaching
      1 from	history	is
      1 from	French	company
      1 from	Facebook	s
      1 from	different	carriers
      1 from	corporations	and
      1 from	complete	I
      1 from	chess	and
      1 from	artificial	intelligence
      1 from	After	all
      1 from	a	Wired
      1 from	a	specific
      1 from	a	dependence
      1 from	1	2
      1 Friday	Christof	Koch
      1 French	company	Aldebaran
      1 freeing	artificial	intelligence
      1 free	tool	was
      1 Frank	Artificial	intelligence
      1 Francois	Mori	AP
      1 framework	for	developers
      1 founders	of	the
      1 founder	of	a
      1 founder	Mark	Zuckerberg
      1 founder	and	former
      1 founder	and	chief
      1 founded	in	
      1 found		
      1 Forward	SundayReview	Artificial
      1 Forward	Artificial	Intelligence
      1 forum	of	an
      1 former	President	Barack
      1 former	chief	executive
      1 form	of	artificial
      1 forecast	Humans	Need
      1 Ford	puts	1
      1 forced	to	negotiate
      1 for	workers	to
      1 for	What	is
      1 for	various	types
      1 for	two	Hassabis
      1 for	travelers	use
      1 for	the	Future
      1 for	the	first
      1 for	the	companies
      1 for	the	better
      1 For	that	security
      1 for	Robust	and
      1 for	reasons	as
      1 for	people	in
      1 for	new	computing
      1 for	more	tips
      1 for	more	than
      1 for	more	savings
      1 for	millions	of
      1 for	letting	the
      1 for	Kayak	artificial
      1 for	jobs	involving
      1 for	it	It
      1 for	HyperScience	an
      1 for	hundreds	of
      1 for	humans	in
      1 for	humanity	There
      1 for	human	minds
      1 for	human	civilization
      1 for	Global	2000
      1 for	existing	drugs
      1 For	example	there
      1 for	example	the
      1 For	example	John
      1 for	example	DeepDrumpf
      1 for	evil	purposes
      1 for	everyone	even
      1 for	discussion	Whether
      1 for	developers	intended
      1 for	deeply	understanding
      1 for	certain	types
      1 for	breakthroughs	and
      1 for	Beneficial	Artificial
      1 for	avoiding	A
      1 for	all	its
      1 for	advice	on
      1 for	a	travel
      1 for	a	commission
      1 for	2017	Source
      1 footing	works	Integrating
      1 fool	students	The
      1 follows	the	programmer
      1 focused	on	teaching
      1 focus	of	international
      1 fly	Yes	but
      1 flush	true	Investments
      1 flush	true	Hackers
      1 flourish	like	never
      1 floor	or	in
      1 flights	from	different
      1 flexibility	of	human
      1 fish	Mr	Barrat
      1 first	time	last
      1 First	most	of
      1 first	more	near
      1 first	explain	what
      1 First	an	A
      1 firmly	Tags	artificial
      1 Fire	book	the
      1 finish	the	next
      1 find	the	solutions
      1 finally	solve	the
      1 final	and	perhaps
      1 films	Hal	s
      1 figures	out	what
      1 figured	it	out
      1 fields	we	don
      1 field	For	example
      1 fiction	often	portrays
      1 fiction	Nevertheless	even
      1 fiction	films	Hal
      1 fi	thriller	People
      1 fewer	hours	than
      1 few	hands	comes
      1 few	examples	of
      1 few	A	version
      1 Feed	millions	The
      1 Feed	Future	of
      1 Feed	Existential	Risk
      1 feasible	in	the
      1 fear	Silicon	Valley
      1 fear	is	the
      1 fear	however	that
      1 fastest	but	because
      1 faster	than	most
      1 faster	than	a
      1 fashion	When	they
      1 Fashion	Style	Artificial
      1 fascinating	controversies	where
      1 far	Photo	Francois
      1 far	from	complete
      1 far	12	Unemployment
      1 familiar	with	Think
      1 fake	tweets	they
      1 fake	news	videos
      1 factory	floor	or
      1 factors	is	likely
      1 Factor	in	Global
      1 fact	the	most
      1 fact	have	been
      1 facial	1	The
      1 Facebook	s	artificial
      1 Facebook	Project	s
      1 Facebook	Microsoft	Amazon
      1 Facebook	may	in
      1 Facebook	Google	Microsoft
      1 Facebook	founder	Mark
      1 Facebook	Artificial	Intelligence
      1 face	two	insurmountable
      1 F	B	I
      1 Extinction	Risk	To
      1 extent	their	content
      1 extensive	use	of
      1 exponential	growth	curves
      1 Explosion	and	Machine
      1 exploration	A	I
      1 exploding	with	microdiscoveries
      1 explode	but	it
      1 explicit	approval	from
      1 explains	deep	learning
      1 explain	what	artificial
      1 explain	it	Grab
      1 experts	for	advice
      1 expert	about	the
      1 experiments	like	Jill
      1 experiment	was	to
      1 experiment	as	an
      1 experience	with	both
      1 expansion	by	2020
      1 expanding	operations	to
      1 existing	drugs	could
      1 existing	cyberattack	efforts
      1 existential	threat	to
      1 Existential	Risk	Stuart
      1 existential	risk	for
      1 Existential	Risk	Artificial
      1 existence	of	human
      1 exist	yet	For
      1 exist	are	improving
      1 executives	to	program
      1 executive	wrote	that
      1 executive	of	the
      1 executive	of	Nervana
      1 executive	of	DeepMind
      1 excuse	illegal	behavior
      1 exchange	for	letting
      1 exceptional	ability	to
      1 excel	sheets	Humans
      1 examples	of	artificial
      1 examples	of	AI
      1 Examples	compassionate	medical
      1 example	there	are
      1 example	the	safety
      1 example	John	McCarthy
      1 example	DeepDrumpf	a
      1 examine	the	impact
      1 exactly	constitutes	harm
      1 evil	purposes	Though
      1 everywhere	Yet	for
      1 Everything	we	love
      1 everyone	even	hackers
      1 every	day	Defined
      1 ever	At	the
      1 event	Robotics	Ben
      1 event	in	New
      1 event	as	its
      1 Even	the	largest
      1 Even	seemingly	innocuous
      1 even	more	Image
      1 even	know	exist
      1 even	hackers	Source
      1 even	hackers	Investments
      1 even	hackers	Hackers
      1 even	A	I
      1 Etzioni	Op	Ed
      1 Etzioni	is	the
      1 Etzioni	characterized	our
      1 ethics	privacy	
      1 Ethics	Luke	Muehlhauser
      1 Ethics	and	Artificial
      1 ethical	responsibility	because
      1 ETF	U	S
      1 ETF	invests	in
      1 ETF	BOTZ	1
      1 etc	But	an
      1 essentially	owning	those
      1 essentially	become	that
      1 especially	when	it
      1 especially	nuanced	or
      1 Eric	Horvitz	Max
      1 Era	So	when
      1 Era	June	6
      1 equal	footing	works
      1 envision	A	I
      1 environment	and	need
      1 entrepreneur	Elon	Musk
      1 entrap	people	into
      1 entrant	is	Aeromexico
      1 Entirely	on	Its
      1 entirely	bleak	The
      1 entire	compendium	of
      1 entertaining	if	not
      1 enough	to	AI
      1 enough	successful	A
      1 enormous	profits	for
      1 enormous	engagement	of
      1 enlisting	an	Obama
      1 enhance	these	benefits
      1 engines	Courtesy	of
      1 engineers	weren	t
      1 engineers	to	specialize
      1 engineering	breakthroughs	that
      1 engine	That	includes
      1 engine	giant	acquired
      1 engagement	of	the
      1 engage	in	increasingly
      1 engage	in	cyberbullying
      1 engage	in	common
      1 enabling	and	accelerating
      1 employment	prospects	for
      1 employing	TV	executives
      1 employers	are	calling
      1 emerging	ethics	of
      1 emerge	if	slowly
      1 else	they	are
      1 else	explain	it
      1 Elon	Musk	says
      1 eliminate	many	jobs
      1 elicit	record	and
      1 elegant	but	ambiguous
      1 efforts	things	like
      1 efforts	push	beyond
      1 efforts	into	artificial
      1 efforts	at	A
      1 effort	to	fool
      1 effects	of	artificial
      1 effects	of	an
      1 educating	or	retraining
      1 Ed	Sept	2
      1 ed	appears	in
      1 Economy	White	House
      1 economic	One	way
      1 economic	liability	because
      1 economic	inequality	on
      1 economic	expansion	by
      1 economic	dependent	taking
      1 economic	asset	as
      1 easy	to	learn
      1 easily	could	Photo
      1 easily	could	less
      1 easily	could	3
      1 easily	A	captivating
      1 easier	Watson	used
      1 easier	for	everyone
      1 earnings	analyses	I
      1 early	days	of
      1 Earlier	this	year
      1 E2	of	the
      1 e	g	only
      1 e	5	for
      1 dystopian	views	of
      1 during	a	discussion
      1 during	a	demonstration
      1 Dubbed	AlphaGo	Zero
      1 drugs	could	work
      1 DRIVING	Ford	puts
      1 drives	Racing	to
      1 driver	of	economic
      1 driven	assistants	Today
      1 driven	A	I
      1 drive	through	red
      1 dredging	through	data
      1 drawn	from	science
      1 drastically	reduce	crime
      1 drastically	Image	14
      1 dramatically	improved	Google
      1 down	progress	on
      1 down	my	spine
      1 down	Main	Street
      1 down	and	bottom
      1 doors	to	A
      1 door	power	meetings
      1 done	making	improvements
      1 Donald	Trump	on
      1 don	t	want
      1 don	t	just
      1 don	t	it
      1 don	t	have
      1 don	t	even
      1 dominate	the	world
      1 dominate	in	developed
      1 dominant	theme	at
      1 domains	not	just
      1 domain	thinking	for
      1 doesn	t	swim
      1 doesn	t	share
      1 does	that	mean
      1 does	it	will
      1 Does	it	1920_x_1080_iOSA
      1 Does	an	airplane
      1 doctors	If	we
      1 do	you	imagine
      1 do	worse	than
      1 do	the	rest
      1 do	that	society
      1 do	such	as
      1 do	something	devastating
      1 do	so	then
      1 do	research	under
      1 do	now	concentrated
      1 do	now	and
      1 do	More	promising
      1 do	certain	things
      1 divulge	to	a
      1 divided	on	the
      1 diversified	ETF	invests
      1 distraction	needs	14
      1 disruption	for	people
      1 displaced	This	seems
      1 displaced	So	if
      1 dismissed	A	I
      1 discussion	Whether	or
      1 discussion	forum	of
      1 discussion	about	the
      1 discusses	robotics	artificial
      1 discusses	AI	s
      1 discoveries	and	engineering
      1 disclose	that	it
      1 disclose	confidential	information
      1 dirty	little	secret
      1 director	of	National
      1 directly	to	the
      1 differing	opinions	of
      1 differently	there	will
      1 different	groups	differently
      1 different	carriers	for
      1 die	by	the
      1 did	something	that
      1 did	it	should
      1 dialogue	with	real
      1 dialog	driven	assistants
      1 dialog	agents	were
      1 diagnosis	and	genetic
      1 diagnose	cancer	In
      1 developments	in	artificial
      1 developments	in	A
      1 development	we	may
      1 Development	The	Ethics
      1 development	Artificial	Intelligence
      1 developing	world	While
      1 developing	the	system
      1 developing	markets	while
      1 developing	field	of
      1 developing	artificial	intelligence
      1 developers	Its	artificial
      1 developers	intended	to
      1 developed	their	own
      1 developed	markets	and
      1 developed	by	the
      1 develop	further	the
      1 Develop	Artificial	Intelligence
      1 develop	an	artificial
      1 devastating	Autonomous	weapons
      1 determine	whether	an
      1 designed	to	perform
      1 designed	to	help
      1 depravity	then	A
      1 dependent	taking	in
      1 dependent	country	s
      1 dependence	on	human
      1 Denver	Post	IBM
      1 Denver	Post	How
      1 Denver	Post	China
      1 denial	of	service
      1 demonstration	of	artificial
      1 Demis	Hassabis	founder
      1 demand	for	new
      1 delivering	better	performance
      1 Defined	artificial	intelligence
      1 define	and	rein
      1 defeated	Lee	Sedol
      1 DeepMind	the	Google
      1 DeepMind	said	in
      1 DeepMind	s	AlphaGo
      1 DeepMind	has	unveiled
      1 DeepMind	Google	s
      1 DeepMind	a	neuroscience
      1 deeply	understanding	the
      1 DeepDrumpf	a	bot
      1 Deep	Safety	NIPS
      1 deep	learning	in
      1 declines	That	s
      1 decisions	And	then
      1 decades	in	the
      1 decade	processors	But
      1 decade	and	this
      1 Debenport	Washington	professor
      1 Debenport	Getty	Images
      1 dealmaking	to	the
      1 Dealmakers	At	TheWrap
      1 deal	with	the
      1 days	of	the
      1 days	but	the
      1 day	Defined	artificial
      1 data	you	have
      1 data	world	leader
      1 data	in	search
      1 data	from	Indeed
      1 data	Feed	millions
      1 data	driven	A
      1 data	center	strategy
      1 data	center	launch
      1 data	center	business
      1 data	and	offer
      1 Data	and	cloud
      1 Dangers	Strategies	Life
      1 dangers	of	artificial
      1 dangerous	than	nukes
      1 cybersecurity		
      1 cyberbullying	stock	manipulation
      1 cyberattack	efforts	things
      1 cyber	attacks	are
      1 curves	and	artificial
      1 current	approaches	to
      1 culture	from	the
      1 cross	domain	thinking
      1 critical	for	deeply
      1 crimes	We	don
      1 crime	to	spike
      1 Crime	reduction	If
      1 crime	by	reducing
      1 crime	as	individual
      1 crime	as	a
      1 crime	A	I
      1 Crest	is	tailored
      1 credit	Shutterstock	screen
      1 creativity	planning	and
      1 creating	demand	for
      1 created	Jill	Watson
      1 created	by	A
      1 created	an	A
      1 created	all	this
      1 create	the	best
      1 create	maps	of
      1 create	jobs	in
      1 cracking	roads	with
      1 cover	private	corporate
      1 Courtesy	of	Hopper
      1 country	supplies	most
      1 country	s	users
      1 country	s	economic
      1 country	or	corporation
      1 countries	will	not
      1 countries	essentially	owning
      1 couldn	t	understand
      1 could	work	for
      1 could	transform	jobs
      1 could	possibly	go
      1 could	Photo	Steve
      1 could	less	Washington
      1 could	kill	us
      1 could	genuinely	change
      1 could	finally	solve
      1 could	easily	A
      1 could	drastically	reduce
      1 could	drastically	Image
      1 could	do	worse
      1 could	become	an
      1 could	be	indistinguishable
      1 could	3	Global
      1 Cortana	and	Watson
      1 correlations	humans	are
      1 corporations	and	governments
      1 corporation	Even	the
      1 corporate	earnings	analyses
      1 corporate	and	government
      1 corners	artificial	intelligence
      1 cornered	Being	a
      1 cornered	_taboola	push
      1 conversation	is	taking
      1 convention	center	Han
      1 controversies	where	the
      1 contrary	the	A
      1 continue	to	profit
      1 content	The	free
      1 consumers	infatuated	with
      1 constrained	by	limits
      1 constitutes	harm	when
      1 consider	the	implications
      1 consider	regulations	for
      1 consequential	challenge	of
      1 consequences	if	engineers
      1 consecutive	quarter	of
      1 connected	robotic	systems
      1 confuses	A	I
      1 confidential	information	without
      1 confidential	information	Think
      1 Conference	Isaac	Lawrence
      1 Conference	in	Hong
      1 conference	in	Asilomar
      1 conference	at	the
      1 concrete	basis	for
      1 concierges	professions	requiring
      1 concerns	over	the
      1 Concerns	of	an
      1 concerns	and	risks
      1 concerns	about	its
      1 concern	situations	that
      1 concentrated	in	relatively
      1 computing	power	to
      1 computing	hardware	tailored
      1 computing	applications	that
      1 computers	to	think
      1 computers	to	recognize
      1 computers	have	proved
      1 Computer	Science	at
      1 computer	revolution	the
      1 computer	program	that
      1 Computer	program	guided
      1 computer	no	longer
      1 comprise	mostly	displaced
      1 comprehend	it	all
      1 comprehend	in	his
      1 comprehend	his	her
      1 comprehend	2009	in
      1 complex	for	human
      1 complex	AI	play
      1 complete	I	introduce
      1 Complacency	on	Superintelligent
      1 competitive	landscape	the
      1 competition	the	report
      1 compendium	of	medical
      1 compassionate	medical	service
      1 company	specialising	in
      1 company	share	their
      1 company	s	Stacy
      1 company	like	Uber
      1 company	just	reported
      1 company	I	would
      1 company	has	billed
      1 company	developing	the
      1 company	based	in
      1 company	and	Facebook
      1 company	Aldebaran	In
      1 companies	to	subsidize
      1 companies	that	potentially
      1 companies	that	develop
      1 companies	that	adopt
      1 companies	should	do
      1 companies	put	together
      1 companies	hospitals	and
      1 companies	continue	to
      1 companies	and	government
      1 common	sense	reasoning
      1 common	names	they
      1 common	law	should
      1 committing	crimes	We
      1 committee	meeting	on
      1 Committee	appointed	to
      1 commit	a	figured
      1 commission	to	examine
      1 commission	needed	to
      1 coming	Society	needs
      1 coming	Robotics	artificial
      1 coming	from	After
      1 coming	but	what
      1 comes	to	A
      1 comes	in	using
      1 comes	in	This
      1 comes	in	It
      1 come	to	dominate
      1 combine	flights	from
      1 combinations	for	existing
      1 combination	of	factors
      1 com	Investments	into
      1 COM	14	Space
      1 colossally	hyped	these
      1 collaboration	with	doctors
      1 cognition	remains	object
      1 code	but	the
      1 code	and	how
      1 co	founded	in
      1 cloud	computing	applications
      1 cloud	and	artificial
      1 closed	door	power
      1 close	too	many
      1 Climatecentral	org	Hackers
      1 clicker	games	exponential
      1 clearly	labeled	as
      1 clearly	disclose	that
      1 clear	that	A
      1 Claude	Shannon	wrote
      1 class	on	artificial
      1 clash	over	artificial
      1 Clapper	the	director
      1 claiming	it	will
      1 claim	that	our
      1 civilization	Video	provided
      1 civilization	stem	from
      1 civilization	is	a
      1 civilization	flourish	like
      1 civilization		
      1 city	s	convention
      1 chunks	of	the
      1 Christof	Koch	and
      1 chose	not	to
      1 choose	to	work
      1 chips	used	by
      1 chips	are	known
      1 chips	are	delivering
      1 China	Workforce	to
      1 China	will	overtake
      1 China	which	will
      1 China	or	the
      1 China	artificial	intelligence
      1 China	and	India
      1 China	aims	to
      1 China	A	I
      1 China		
      1 child	may	inadvertently
      1 child	John	McCarthy
      1 chief	technology	officer
      1 chief	executive	wrote
      1 chess	and	Go
      1 check		
      1 chatbots	the	social
      1 chatbots	developed	their
      1 characterized	our	experiment
      1 channels	Zone	TV
      1 channels	The	twist
      1 changing	competitive	landscape
      1 change	the	world
      1 change	the	way
      1 Chang	e	5
      1 champion	for	the
      1 challenges	are	too
      1 challenge	of	A
      1 challenge	any	robot
      1 certain	types	of
      1 certain	to	alter
      1 certain	things	like
      1 certain	occupations	with
      1 certain	jobs	artisans
      1 central	processor	Accelerators
      1 centers	now	utilize
      1 center	strategy	at
      1 center	stage	at
      1 center	listens	during
      1 center	launch	in
      1 center	Han	the
      1 center	business	The
      1 center	business	is
      1 CBI	Britain	s
      1 caution	The	problem
      1 causes	public	anxiety
      1 causes	of	crime
      1 catch	the	A
      1 casting	such	a
      1 cases	people	will
      1 case	of	bots
      1 case	it	s
      1 carriers	for	more
      1 careers	Artificial	intelligence
      1 career	in	artificial
      1 captivating	conversation	is
      1 capitalist	will	swarm
      1 capable	of	enabling
      1 cannot	retain	or
      1 cannot	do	that
      1 cancer	research	A
      1 cancer	In	all
      1 cancer	A	I
      1 Can	we	keep
      1 can	we	enhance
      1 Can	we	build
      1 can	this	genius
      1 can	t	help
      1 can	t	claim
      1 can	t	be
      1 can	see	where
      1 can	reach	whether
      1 can	do	such
      1 can	do	certain
      1 can	create	jobs
      1 can	comprehend	it
      1 can	become	Abstractionsalphagoartificial
      1 can	be	an
      1 Can	artificial	intelligence
      1 can	also	increase
      1 calling	for	a
      1 called	neural	networks
      1 called	artificial	intelligence
      1 California	Berkeley	Russell
      1 CA	Jaan	Tallinn
      1 by	yet	develop
      1 by	two	recent
      1 by	the	millions
      1 by	the	Allen
      1 by	some	of
      1 by	side	with
      1 by	reducing	the
      1 by	playing	against
      1 by	Oren	Etzioni
      1 by	one	of
      1 by	Newsy	Newslook
      1 by	Naveen	G
      1 by	Luke	Muehlhauser
      1 by	limits	of
      1 by	itself	within
      1 by	having	its
      1 by	Hanson	Robotics
      1 by	gamers	in
      1 By	freeing	artificial
      1 by	Facebook	Google
      1 by	analyzing	huge
      1 by	almost	500
      1 by	A	I
      1 by	2020	according
      1 But	Why	on
      1 But	Why	by
      1 but	what	does
      1 But	what	about
      1 but	the	outlook
      1 but	the	life
      1 but	the	dirty
      1 But	shouldn	t
      1 but	rather	a
      1 but	not	like
      1 But	McGouldrick	may
      1 But	maybe	not
      1 But	its	graphics
      1 but	it	will
      1 but	it	might
      1 but	it	doesn
      1 But	if	you
      1 But	I	ll
      1 But	here	too
      1 but	far	from
      1 but	because	we
      1 But	an	advanced
      1 but	ambiguous	What
      1 but	advanced	intelligent
      1 but	A	I
      1 bust	Venture	capitalist
      1 bust	Investments	into
      1 bust	Image	23
      1 businesses	will	dominate
      1 businesses	to	fund
      1 business	with	talent
      1 business	The	company
      1 business	is	taking
      1 Builds	China	Workforce
      1 building	artificial	intelligence
      1 build	on	those
      1 build	Google	Earlier
      1 build	autonomous	weapons
      1 build	an	artificial
      1 BST	An	artificial
      1 broad	net	he
      1 British	artificial	intelligence
      1 Britain	s	biggest
      1 bring	about	the
      1 breathlessly	tell	you
      1 breakthroughs	This	is
      1 breakthroughs	that	will
      1 breakthroughs	and	build
      1 breakthrough	removes	a
      1 breakthrough	in	developing
      1 breakthrough	for	artificial
      1 break	into	the
      1 brain	Will	it
      1 box	Science	Friday
      1 BOTZ	26	18
      1 BOTZ	1	59
      1 bottom	up	knowledge
      1 bots	computer	programs
      1 both	within	and
      1 both	the	cloud
      1 both	models	having
      1 both	as	an
      1 bot	that	humorously
      1 bot	known	as
      1 Bostrom	on	Artificial
      1 BOSTON	IBM	is
      1 boost	performance	The
      1 books	game	of
      1 booking	engines	Courtesy
      1 booking	engine	That
      1 book	the	series
      1 book	Filed	under
      1 book	August	29
      1 book	artificial	intelligence
      1 book	44	731
      1 book	42	180
      1 book		
      1 body	processes	etc
      1 board	game	of
      1 board	game	known
      1 bO3beFYDEeeEC1EgJjGdpw	Hopper	and
      1 bleak	The	Assistant
      1 bird	Artificial	intelligence
      1 Biotechnology	benefits	and
      1 biomedical	scientist	Computer
      1 billion	industry	Comments
      1 billion	industry	China
      1 billion	in	stealth
      1 billed	the	event
      1 biggest	employers	are
      1 biggest	data	center
      1 Big	Leaps	This
      1 big	issue	He
      1 Big	Data	and
      1 bid	seeks	59
      1 Biases	What	do
      1 beyond	the	limitations
      1 Beyond	that	we
      1 between	visionary	inventor
      1 between	the	haves
      1 between	nations	Or
      1 better	your	product
      1 better	the	more
      1 better	space	travel
      1 better	performance	on
      1 bets	on	the
      1 betrayed	Anne	Frank
      1 bet	they	would
      1 bet	is	to
      1 best	practices	for
      1 best	player	of
      1 best	human	values
      1 best	bet	is
      1 best	at	being
      1 best	A	I
      1 Bernstein	Research	said
      1 Berkeley	Russell	is
      1 benefits	with	artificial
      1 Benefits	Risks	of
      1 benefits	of	civilization
      1 benefit	from	increased
      1 Beneficial	Artificial	IntelligenceDecember
      1 Beneficial	Artificial	Intelligence
      1 Beneficial	AI	2017
      1 Ben	Goertzel	center
      1 Ben	Amor	discusses
      1 believe	the	answer
      1 believe	that	experiments
      1 believe	sound	but
      1 being	replaced	on
      1 being	made	from
      1 Being	Human	in
      1 being	human	Artificial
      1 Being	a	sore
      1 behavior	Continue	reading
      1 beginning	of	the
      1 begets	strength	The
      1 began	to	use
      1 Before	we	get
      1 before	they	commit
      1 before	it	s
      1 before	as	long
      1 before	a	discussion
      1 been	vocal	about
      1 been	unnerved	by
      1 been	the	standard
      1 been	displaced	This
      1 become	the	new
      1 become	that	country
      1 become	part	of
      1 become	an	more
      1 become	an	ethical
      1 become	Abstractionsalphagoartificial	intelligencecomputer
      1 because	we	re
      1 because	we	are
      1 Because	of	their
      1 because	it	will
      1 because	it	takes
      1 because	it	poses
      1 beat	the	world
      1 be	weaponized	and
      1 be	used	for
      1 be	transferred	to
      1 be	the	ultimate
      1 be	the	next
      1 be	subject	to
      1 be	ready	to
      1 be	passive	vessels
      1 be	paranoid	to
      1 be	marching	down
      1 be	like	us
      1 be	indistinguishable	from
      1 be	in	the
      1 be	forced	to
      1 be	feasible	in
      1 be	dismissed	A
      1 be	consequences	if
      1 be	an	economic
      1 be	amended	so
      1 be	alarmed	by
      1 be	a	bust
      1 battle	is	heating
      1 basis	of	patterns
      1 basis	of	look
      1 basis	for	avoiding
      1 Basic	AI	drives
      1 based	standouts	One
      1 based	on	three
      1 based	on	that
      1 based	in	Seattle
      1 based	in	London
      1 bartenders	concierges	professions
      1 Barrat	said	Does
      1 Barrat	author	of
      1 barn	and	our
      1 Barbie	Even	seemingly
      1 Barack	Obama	advising
      1 Bank	tellers	Unlike
      1 Baidu	Alibaba	and
      1 bad	software	and
      1 B	I	to
      1 aware	computer	programs
      1 avoiding	A	I
      1 average	temperatures	Source
      1 autonomous	weapons	with
      1 Autonomous	weapons	are
      1 autonomous	vehicles	that
      1 autonomous	vehicles	rather
      1 Automation	will	absorb
      1 automation	over	the
      1 automation	of	office
      1 Automation	is	here
      1 Automation	and	the
      1 automatically	elicit	record
      1 automate	routine	tasks
      1 author	with	Peter
      1 author	of	The
      1 author	of	Our
      1 August	29	2017
      1 audience	what	Sophia
      1 attempt	to	steer
      1 attain	knowledge	in
      1 attacks	are	coming
      1 attacks	and	password
      1 attack	by	artificial
      1 at	Zuckerberg	s
      1 at	this	year
      1 At	TheWrap	
      1 at	the	RISE
      1 At	the	moment
      1 at	the	city
      1 at	Oxford	University
      1 at	least	slow
      1 at	least	one
      1 at	Human	Rights
      1 at	Google	of
      1 at	Georgia	Tech
      1 at	DeepMind	the
      1 at	DeepMind	Google
      1 at	Bernstein	Research
      1 at	being	human
      1 at	Arizona	State
      1 at	an	event
      1 at	all	They
      1 at	all	I
      1 at	A	new
      1 at	A	I
      1 at	5	48
      1 assurances	that	A
      1 assistants	Today	Facebook
      1 assistants	This	transformation
      1 assistants	on	a
      1 Assistant	Professor	at
      1 assistant	designed	to
      1 asset	as	in
      1 assess	Jill	s
      1 ask	whether	we
      1 ask	Siri	about
      1 ask	our	experts
      1 Ask	any	technology
      1 Asilomar	CA	Jaan
      1 as	well	as
      1 As	we	have
      1 as	unavoidable	that
      1 as	their	new
      1 as	the	number
      1 as	the	human
      1 as	the	founder
      1 as	taking	over
      1 as	such	In
      1 as	someone	who
      1 as	robots	Artificial
      1 as	narrow	AI
      1 as	many	as
      1 as	long	From
      1 as	learn	from
      1 as	language	translation
      1 as	just	the
      1 as	Jill	Watson
      1 as	its	biggest
      1 as	it	does
      1 as	individual	acts
      1 as	in	China
      1 as	for	the
      1 as	ethics	privacy
      1 as	Chang	e
      1 As	artificial	intelligence
      1 as	an	effort
      1 as	an	academic
      1 as	an	A
      1 As	AI	researchers
      1 as	accelerators	They
      1 as	a	Threat
      1 as	a	teaching
      1 as	a	starting
      1 as	a	response
      1 as	a	question
      1 as	a	Positive
      1 as	a	Artificial
      1 as		
      1 artisans	personal	assistants
      1 artificial	superintelligence	that
      1 artificial	intelligenceJames	R
      1 Artificial	IntelligenceDecember	27
      1 Artificial	intelligence	won
      1 artificial	intelligence	without
      1 Artificial	Intelligence	Wiping
      1 artificial	intelligence	which
      1 Artificial	Intelligence	Turns
      1 Artificial	Intelligence	Tries
      1 artificial	intelligence	Transparency
      1 Artificial	Intelligence	Too
      1 Artificial	Intelligence	Tech
      1 Artificial	Intelligence	taught
      1 Artificial	Intelligence	Talks
      1 artificial	intelligence	system
      1 artificial	intelligence	supercharges
      1 Artificial	Intelligence	SundayReview
      1 Artificial	Intelligence	Stephen
      1 artificial	intelligence	startup
      1 artificial	intelligence	solutions
      1 artificial	intelligence	run
      1 artificial	intelligence	robots
      1 artificial	intelligence	robotics
      1 Artificial	Intelligence	Rivals
      1 artificial	intelligence	results
      1 Artificial	Intelligence	Response
      1 artificial	intelligence	represents
      1 Artificial	Intelligence	Report
      1 artificial	intelligence	replace
      1 Artificial	Intelligence	Re
      1 artificial	intelligence	promises
      1 artificial	Intelligence	project
      1 artificial	intelligence	programs
      1 Artificial	Intelligence	Poses
      1 artificial	intelligence	porn
      1 artificial	intelligence	platform
      1 Artificial	Intelligence	Pioneer
      1 artificial	intelligence	Photo
      1 artificial	intelligence	Perhaps
      1 artificial	intelligence	people
      1 Artificial	intelligence	Our
      1 Artificial	Intelligence	Open
      1 artificial	intelligence	only
      1 artificial	intelligence	on
      1 artificial	intelligence	often
      1 Artificial	Intelligence	Media
      1 artificial	intelligence	Marvin
      1 Artificial	Intelligence	machine
      1 Artificial	Intelligence	Learns
      1 artificial	intelligence	lead
      1 artificial	intelligence	Last
      1 artificial	intelligence	lab
      1 artificial	intelligence	James
      1 Artificial	Intelligence	Intelligence
      1 artificial	intelligence	industry
      1 artificial	intelligence	including
      1 Artificial	intelligence	improves
      1 artificial	intelligence	IBM
      1 Artificial	Intelligence	How
      1 artificial	intelligence	group
      1 artificial	intelligence	Global
      1 artificial	intelligence	games
      1 artificial	intelligence	from
      1 Artificial	Intelligence	Everything
      1 artificial	intelligence	event
      1 Artificial	Intelligence	Ethics
      1 Artificial	Intelligence	ETF
      1 Artificial	Intelligence	engineers
      1 Artificial	Intelligence	Development
      1 artificial	intelligence	defeated
      1 Artificial	Intelligence	Deep
      1 artificial	intelligence	cybersecurity
      1 Artificial	intelligence	cyber
      1 artificial	intelligence	computer
      1 Artificial	intelligence	commission
      1 Artificial	Intelligence	Comments
      1 artificial	intelligence	comes
      1 artificial	intelligence	China
      1 artificial	intelligence	chatbots
      1 Artificial	Intelligence	by
      1 artificial	intelligence	books
      1 Artificial	Intelligence	Biotechnology
      1 artificial	intelligence	bid
      1 artificial	intelligence	Benefits
      1 Artificial	Intelligence	Automation
      1 artificial	intelligence	at
      1 artificial	intelligence	ask
      1 artificial	intelligence	Artificial
      1 artificial	intelligence	aren
      1 artificial	intelligence	also
      1 artificial	intelligence	AlphaGo
      1 artificial	intelligence	algorithms
      1 Artificial	Intelligence	AI2
      1 Artificial	Intelligence	AI100
      1 Artificial	Intelligence	acts
      1 Artificial	Intelligence	A19
      1 artificial	Demis	Hassabis
      1 Articles	Concerns	of
      1 article	appears	in
      1 arrive	we	may
      1 arresting	people	before
      1 array	of	games
      1 Armstrong	What	Happens
      1 Arizona	State	University
      1 arise	for	hundreds
      1 aren	t	trying
      1 aren	t	good
      1 areas	where	it
      1 areas	such	as
      1 areas	of	Artificial
      1 are	valid	concerns
      1 are	transforming	how
      1 are	too	of
      1 are	the	smartest
      1 are	the	basis
      1 are	technological	giants
      1 are	teaching	themselves
      1 are	taking	government
      1 are	starting	to
      1 are	smart	bets
      1 are	simply	In
      1 are	side	by
      1 are	serious	but
      1 are	right	artificial
      1 are	programmed	to
      1 are	pouring	their
      1 are	no	closed
      1 are	making	extensive
      1 are	lower	paying
      1 are	looking	for
      1 are	known	in
      1 are	jobs	that
      1 are	interested	in
      1 are	inspired	by
      1 are	increasingly	on
      1 are	in	a
      1 are	improving	faster
      1 are	I	believe
      1 are	hundreds	of
      1 are	going	to
      1 are	fascinating	controversies
      1 are	enlisting	an
      1 are	elegant	but
      1 are	delivering	better
      1 are	critical	for
      1 are	coming	but
      1 are	clearly	labeled
      1 are	calling	for
      1 are	best	at
      1 are	artificial	intelligence
      1 are	already	familiar
      1 are	almost	certain
      1 are	active	To
      1 are	able	to
      1 are	a	few
      1 apps	for	travelers
      1 approval	from	the
      1 approaches	to	funding
      1 Approach	which	has
      1 approach	I	have
      1 appointed	to	consider
      1 apply	to	its
      1 Apply	Nick	Bostrom
      1 applications	that	many
      1 applications	of	artificial
      1 aperture	of	another
      1 AP	AP	12
      1 AP	12	Unemployment
      1 anything	else	they
      1 anyone	building	artificial
      1 any	technology	expert
      1 any	robot	to
      1 any	A	I
      1 anxiety	spills	over
      1 anxiety	over	job
      1 anticipates	crime	to
      1 anticipate	Simply	put
      1 answering	machine	A
      1 answer	will	involve
      1 answer	to	this
      1 answer	students	questions
      1 answer	is	yes
      1 another	we	are
      1 another	I	challenge
      1 Anne	Frank	Artificial
      1 anecdote	about	using
      1 and	Zuckerberg	clash
      1 and	what	it
      1 and	Watson	more
      1 and	visual	perception
      1 and	utilization	of
      1 and	understand	to
      1 and	translate	languages
      1 and	this	hits
      1 and	they	ll
      1 And	then	I
      1 and	their	battle
      1 and	the	transition
      1 and	the	have
      1 and	the	Economy
      1 and	the	computer
      1 and	that	s
      1 and	that	give
      1 and	Tencent	are
      1 and	Tags	artificial
      1 and	Stuart	Russell
      1 And	Stephen	Hawking
      1 and	Sophia	the
      1 and	some	developing
      1 and	similar	apps
      1 and	significantly	larger
      1 and	services	for
      1 and	serve	videos
      1 and	scientific	understanding
      1 and	robots	are
      1 and	risks	can
      1 and	research	centers
      1 and	rein	in
      1 and	rapidly	developing
      1 and	provide	insights
      1 and	protected	rights
      1 and	promised	that
      1 and	promise	to
      1 and	privacy	It
      1 and	policy	organization
      1 and	perhaps	most
      1 and	perhaps	altogether
      1 and	performs	as
      1 and	password	cracking
      1 and	our	best
      1 and	other	tech
      1 and	other	pressures
      1 and	offer	a
      1 and	Neuroscience	Theses
      1 and	Negative	Factor
      1 and	need	then
      1 and	Mr	Hawking
      1 and	Mark	Zuckerberg
      1 and	make	AI
      1 and	Machine	Ethics
      1 and	live	
      1 And	less	14
      1 and	its	ultimate
      1 and	its	mainstream
      1 and	is	sponsored
      1 and	Instrumental	Rationality
      1 and	India	in
      1 and	increasingly	is
      1 and	in	patchwork
      1 and	how	to
      1 and	governments	In
      1 and	government	systems
      1 and	government	organisations
      1 and	Go	to
      1 and	global	outsourcing
      1 and	genetic	investigations
      1 and	former	chief
      1 and	flexibility	of
      1 And	Fire	book
      1 and	figures	out
      1 and	Facebook	may
      1 and	Facebook	founder
      1 and	expanding	operations
      1 and	Existential	Risk
      1 and	engineering	breakthroughs
      1 and	effects	of
      1 and	diversified	ETF
      1 and	cross	domain
      1 and	create	the
      1 and	companies	should
      1 and	cloud	computing
      1 and	Claude	Shannon
      1 and	China	which
      1 and	China	A
      1 and	chief	executive
      1 and	build	on
      1 and	bottom	up
      1 and	booking	engine
      1 and	between	nations
      1 and	Beneficial	Artificial
      1 and	bad	software
      1 and	author	of
      1 and	ask	Siri
      1 and	as	the
      1 and	as	it
      1 and	are	looking
      1 and	any	A
      1 and	analyze	information
      1 and	accountability	are
      1 and	accelerating	the
      1 and	1970s	began
      1 and		
      1 analyzing	huge	amounts
      1 analyzes	samples	of
      1 analyze	pricing	data
      1 analyze	information	A
      1 analytical	software	and
      1 analyst	at	Bernstein
      1 analyses	I	once
      1 an	unimaginable	revolution
      1 an	opportunity	to
      1 an	open	license
      1 an	online	class
      1 an	office	Artificial
      1 an	Obama	veteran
      1 an	more	8
      1 an	iPhone	and
      1 An	international	A
      1 an	industry	in
      1 an	impregnable	off
      1 an	existential	threat
      1 an	event	in
      1 an	ethical	responsibility
      1 an	effort	to
      1 an	economic	liability
      1 an	economic	asset
      1 an	attack	by
      1 an	artificial	superintelligence
      1 an	artificial	Demis
      1 an	array	of
      1 an	alarmist	view
      1 an	airplane	fly
      1 an	AI	so
      1 an	advanced	A
      1 an	admired	quality
      1 an	academic	researcher
      1 amplifying	our	human
      1 amounts	of	unruly
      1 amounts	of	information
      1 amounts	of	data
      1 amorphous	and	rapidly
      1 Amor	discusses	robotics
      1 amok	scared	artificial
      1 Americans	in	the
      1 Americans	in	Still
      1 American	businesses	will
      1 amended	so	that
      1 ambiguous	What	exactly
      1 Amazon	Baidu	Alibaba
      1 am	Artificial	Intelligence
      1 am		
      1 always	for	What
      1 altogether	About	Artificial
      1 Although	the	field
      1 alternate	The	Real
      1 alternate	IBM	and
      1 alternate	How	to
      1 alternate	How	artificial
      1 alternate	Future	of
      1 alternate	Ethics	and
      1 alternate	China	artificial
      1 alternate	alternate	The
      1 alternate	alternate	IBM
      1 alternate	alternate	Future
      1 alternate	alternate	Ethics
      1 alternate	alternate	China
      1 alter	the	employment
      1 alter	employment	prospects
      1 also	produce	fake
      1 also	increase	policing
      1 also	allows	us
      1 Also	A	I
      1 already	underway	is
      1 already	taken	over
      1 already	seen	for
      1 already	inventing	languages
      1 already	familiar	with
      1 AlphaGo	Zero	took
      1 AlphaGo	Zero	the
      1 AlphaGo	artificial	intelligence
      1 AlphaGo	an	AI
      1 alone	in	my
      1 almost	certain	to
      1 almost	500	according
      1 allows	us	to
      1 all	this	data
      1 all	They	are
      1 all	the	increasing
      1 all	of	the
      1 all	Meet	the
      1 all	its	progress
      1 all	if	they
      1 all	I	believe
      1 all	cases	people
      1 all	Also	A
      1 Alibaba	and	Tencent
      1 algorithms	Filed	under
      1 algorithms	business	with
      1 algorithms	are	teaching
      1 Algorithm	has	said
      1 Alexa	Cortana	and
      1 Aldebaran	In	the
      1 alarmist	view	that
      1 alarmed	by	two
      1 airplane	fly	Yes
      1 aims	to	use
      1 aims	to	make
      1 aims	to	advance
      1 aigency	is	a
      1 AI2	a	nonprofit
      1 AI100	Preparing	for
      1 AI	Washington	state
      1 AI	was	entertaining
      1 AI	textbook	for
      1 AI	technologies	promise
      1 AI	system	learnt
      1 AI	Stuart	Russell
      1 AI	start	ups
      1 AI	so	Artificial
      1 AI	safety	Wait
      1 AI	s	potential
      1 AI	Robot	right
      1 AI	researchers	in
      1 AI	researcher	You
      1 AI	q	as
      1 AI	play	a
      1 AI	or	weak
      1 AI	Opinion	Artificial
      1 AI	Opinion	
      1 AI	John	McDonnell
      1 AI	is	progressing
      1 AI	is	programmed
      1 AI	is	Hopper
      1 AI	in	travel
      1 AI	in	that
      1 AI	has	increased
      1 AI	efforts	push
      1 AI	drives	Racing
      1 AI	dialog	agents
      1 AI	company	developing
      1 AI	by	Hanson
      1 AI	based	standouts
      1 AI	as	robots
      1 AI	aims	to
      1 AI	2017	conference
      1 AI		
      1 agree	with	Mr
      1 aggressive	when	cornered
      1 agents	were	able
      1 agent	could	be
      1 Age	of	Artificial
      1 age	of	A
      1 against	them	according
      1 again	Work	careers
      1 After	all	if
      1 after	a	discussion
      1 Afraid	Of	Artificial
      1 AFP	Getty	Images
      1 affairs	They	concern
      1 Aeromexico	s	new
      1 advising	the	White
      1 advice	on	Wednesday
      1 advancement	can	create
      1 advanced	intelligent	machines
      1 advanced	A	I
      1 advance	the	public
      1 advance	medicine	and
      1 adoption	of	robots
      1 adoption	and	utilization
      1 adopt	it	Imagine
      1 admired	quality	especially
      1 addressing	its	A
      1 addictive	clicker	games
      1 Add	dealmaking	to
      1 Actually	skip	that
      1 acts	of	depravity
      1 acts	aggressive	when
      1 active	To	get
      1 across	pop	culture
      1 acquired	DeepMind	a
      1 acquire	confidential	information
      1 accurate	price	prediction
      1 accountability	are	the
      1 account	in	November
      1 according	to	researchers
      1 according	to	data
      1 according	to	a
      1 Accenture	2016	
      1 accelerators	They	can
      1 Accelerators	include	graphics
      1 accelerating	the	promise
      1 academy	and	significantly
      1 academic	researcher	and
      1 Abstractionsalphagoartificial	intelligencecomputer	sciencemachine
      1 absorb	all	of
      1 about	using	artificial
      1 about	the	weather
      1 About	the	Threat
      1 about	the	singularity
      1 about	the	enormous
      1 about	symptoms	body
      1 about	other	They
      1 about	On	the
      1 about	its	impact
      1 about	how	to
      1 about	how	artificial
      1 about	his	concerns
      1 about	civilization	is
      1 About	Artificial	Intelligence
      1 about	50	staff
      1 able	to	unlock
      1 able	to	tax
      1 able	to	perform
      1 able	to	negotiate
      1 able	to	make
      1 able	to	choose
      1 ability	to	automatically
      1 A19	of	the
      1 a	Wired	magazine
      1 a	We	believe
      1 a	video	interview
      1 a	variety	of
      1 a	travel	technology
      1 a	toy	such
      1 a	top	AI
      1 a	Threat	shivers
      1 a	Threat	Order
      1 a	Threat	Fashion
      1 a	Threat	Artificial
      1 a	teaching	someone
      1 a	supercomputer	having
      1 a	starting	point
      1 a	start	up
      1 a	specific	This
      1 a	sore	loser
      1 a	sophisticated	piece
      1 A	Song	of
      1 a	single	country
      1 a	series	SELF
      1 a	sense	of
      1 a	semiconductor	analyst
      1 a	select	committee
      1 a	sci	fi
      1 a	robot	that
      1 a	response	to
      1 a	reference	to
      1 a	realistic	tool
      1 a	real	threat
      1 a	question	answering
      1 a	public	good
      1 a	product	of
      1 a	privileged	few
      1 a	prime	position
      1 a	primary	limit
      1 a	prerequisite	to
      1 a	Positive	and
      1 a	peer	of
      1 a	number	of
      1 a	nonprofit	based
      1 a	new	important
      1 a	new	framework
      1 a	new	A
      1 A	new	
      1 a	neuroscience	inspired
      1 a	narrow	task
      1 a	more	concrete
      1 a	more	accurate
      1 A	Modern	Approach
      1 a	misunderstood	term
      1 a	majority	of
      1 a	major	breakthrough
      1 a	long	long
      1 a	little	smarter
      1 a	limited	extent
      1 a	large	growing
      1 A	I	world
      1 A	I	weapons
      1 A	I	wave
      1 A	I	tools
      1 A	I	The
      1 A	I	tasks
      1 A	I	surpasses
      1 A	I	software
      1 A	I	should
      1 A	I	self
      1 A	I	science
      1 A	I	rules
      1 A	I	robots
      1 A	I	revolution
      1 A	I	researchers
      1 A	I	research
      1 A	I	products
      1 A	I	powered
      1 A	I	plans
      1 A	I	paradigm
      1 A	I	Order
      1 A	I	must
      1 A	I	mission
      1 A	I	markets
      1 A	I	makes
      1 A	I	Made
      1 A	I	machines
      1 A	I	like
      1 A	I	lacks
      1 A	I	it
      1 A	I	intelligence
      1 A	I	in
      1 A	I	I
      1 A	I	horse
      1 A	I	harm
      1 A	I	group
      1 A	I	fueled
      1 A	I	easily
      1 A	I	did
      1 A	I	development
      1 A	I	companies
      1 A	I	cannot
      1 A	I	can
      1 A	I	businesses
      1 A	I	both
      1 A	I	Barbie
      1 A	I	at
      1 A	I	as
      1 A	I	and
      1 A	I	agent
      1 A	I	advancement
      1 A	I	a
      1 a	humanoid	robot
      1 a	group	of
      1 a	global	scale
      1 a	fundamental	risk
      1 a	fundamental	existential
      1 a	founder	and
      1 a	form	of
      1 a	fish	Mr
      1 a	figured	it
      1 a	few	examples
      1 a	discussion	about
      1 a	dependence	on
      1 a	demonstration	of
      1 a	decade	processors
      1 a	company	like
      1 a	commission	to
      1 a	child	John
      1 a	central	processor
      1 a	career	in
      1 A	captivating	conversation
      1 a	bust	Venture
      1 a	bust	Investments
      1 a	bust	Image
      1 a	broad	net
      1 a	breakthrough	in
      1 a	bot	that
      1 a	bot	known
      1 a	bird	Artificial
      1 a	big	issue
      1 958	Artificial	intelligence
      1 9	00	am
      1 8	Crime	reduction
      1 731	Artificial	intelligence
      1 6	2016	at
      1 6	2014	on
      1 59	comes	in
      1 59	China	artificial
      1 59	billion	industry
      1 500	according	to
      1 50	staff	members
      1 5	for	2017
      1 5	48	am
      1 48	am	Artificial
      1 46	958	Artificial
      1 44	731	Artificial
      1 42	180	Artificial
      1 400	million	last
      1 30pm	BST	An
      1 30	2017	on
      1 3	stocks	are
      1 3	Global	health
      1 3	2018	1
      1 3	19pm	Modal
      1 3	0	Being
      1 29	2017	3
      1 27	2017	9
      1 26	18	
      1 23	Terrifyingly	Google
      1 23	of	23
      1 22nd	consecutive	quarter
      1 22	of	22
      1 22	Facebook	s
      1 22	14	Space
      1 22	12	Unemployment
      1 2020	according	to
      1 2018	1	10
      1 2017	Source	Space
      1 2017	ReportJanuary	3
      1 2017	on	Page
      1 2017	conference	in
      1 2017	Artificial	intelligence
      1 2017	9	00
      1 2017	3	19pm
      1 2016	at	5
      1 2016	about	how
      1 2016	a	bot
      1 2016		
      1 2014	on	Page
      1 2009	in	his
      1 2000	companies	and
      1 2	Last	year
      1 2	30pm	BST
      1 19pm	Modal	Trigger
      1 1970s	began	to
      1 1960s	and	1970s
      1 1955	As	AI
      1 1920_x_1080_iOSA	JPG	uuid
      1 180	Artificial	intelligence
      1 18	October	from
      1 18		
      1 17	of	22
      1 14	Space	exploration
      1 14	of	22
      1 12	Unemployment	underemployment
      1 12	the	audience
      1 12	2017	Artificial
      1 10	years	How
      1 10	years	disruption
      1 10	pm	Research
      1 1	The	AI
      1 1	billion	in
      1 1	59	comes
      1 1	2	30pm
      1 1	10	pm
      1 00	am	
      1 0	Being	Human
      1 _taboola	push	flush
      1       1       1      21 of	artificial	intelligence
      1       1       1      14 artificial	intelligence	AI
      1       1       1      13 artificial	intelligence	is
      1       1       1       7 on	artificial	intelligence
      1       1       1       7 intelligence		
      1       1       1       7 artificial	intelligence	will
      1       1       1       7 artificial	intelligence	and
      1       1       1       7 artificial	intelligence	
      1       1       1       7 an	artificial	intelligence
      1       1       1       6 in	artificial	intelligence
      1       1       1       6 for	artificial	intelligence
      1       1       1       6 artificial	intelligence	research
      1       1       1       6 artificial	intelligence	has
      1       1       1       5 York	edition	with
      1       1       1       5 with	the	headline
      1       1       1       5 Today	s	Paper
      1       1       1       5 the	New	York
      1       1       1       5 s	Paper	Subscribe
      1       1       1       5 s	artificial	intelligence
      1       1       1       5 of	the	New
      1       1       1       5 New	York	edition
      1       1       1       5 edition	with	the
      1       1       1       5 artificial	intelligence	to
      1       1       1       5 alternate	alternate	alternate
      1       1       1       4 the	future	of
      1       1       1       4 the	artificial	intelligence
      1       1       1       4 of	A	I
      1       1       1       4 Feed	alternate	alternate
      1       1       1       4 Comments	Feed	alternate
      1       1       1       4 artificial	intelligence	The
      1       1       1       4 and	artificial	intelligence
      1       1       1       4 A	I	is
      1       1       1       3 White	House	s
      1       1       1       3 use	artificial	intelligence
      1       1       1       3 under	artificial	intelligence
      1       1       1       3 to	regulate	artificial
      1       1       1       3 to	A	I
      1       1       1       3 the	White	House
      1       1       1       3 the	next	decade
      1       1       1       3 the	main	story
      1       1       1       3 The	Denver	Post
      1       1       1       3 the	A	I
      1       1       1       3 Tags	artificial	intelligence
      1       1       1       3 Subscribe		
      1       1       1       3 some	of	the
      1       1       1       3 robots	artificial	intelligence
      1       1       1       3 risks	of	artificial
      1       1       1       3 regulate	artificial	intelligence
      1       1       1       3 reading	the	main
      1       1       1       3 Post	Feed	The
      1       1       1       3 Post	Comments	Feed
      1       1       1       3 Paper	Subscribe	
      1       1       1       3 over	the	next
      1       1       1       3 one	of	the
      1       1       1       3 new	report	from
      1       1       1       3 it	will	be
      1       1       1       3 intelligence	research	lab
      1       1       1       3 implications	of	artificial
      1       1       1       3 how	artificial	intelligence
      1       1       1       3 Google	s	artificial
      1       1       1       3 Filed	under	artificial
      1       1       1       3 Feed	The	Denver
      1       1       1       3 do	the	same
      1       1       1       3 Denver	Post	Feed
      1       1       1       3 Denver	Post	Comments
      1       1       1       3 Continue	reading	the
      1       1       1       3 Comments	Feed	The
      1       1       1       3 chief	executive	of
      1       1       1       3 benefits	and	risks
      1       1       1       3 artificial	intelligence	today
      1       1       1       3 artificial	intelligence	that
      1       1       1       3 artificial	intelligence	says
      1       1       1       3 artificial	intelligence	can
      1       1       1       3 artificial	intelligence	as
      1       1       1       3 and	risks	of
      1       1       1       3 an	A	I
      1       1       1       3 about	the	future
      1       1       1       3 A	new	report
      1       1       1       3 a	model	of
      1       1       1       2 workshops	around	the
      1       1       1       2 with	the	White
      1       1       1       2 with	artificial	intelligence
      1       1       1       2 with	a	pen
      1       1       1       2 will	tackle	some
      1       1       1       2 will	include	advancing
      1       1       1       2 will	be	able
      1       1       1       2 we	don	t
      1       1       1       2 was	inscribed	into
      1       1       1       2 version	of	this
      1       1       1       2 various	definitions	but
      1       1       1       2 using	artificial	intelligence
      1       1       1       2 uses	data	to
      1       1       1       2 used	for	artificial
      1       1       1       2 US	constitution	with
      1       1       1       2 undermined	by	computer
      1       1       1       2 Topics	Artificial	intelligence
      1       1       1       2 too	many	of
      1       1       1       2 to	the	citizens
      1       1       1       2 to	spend	240
      1       1       1       2 to	master	the
      1       1       1       2 to	due	process
      1       1       1       2 to	create	an
      1       1       1       2 to	build	a
      1       1       1       2 to	artificial	intelligence
      1       1       1       2 Threat	of	Artificial
      1       1       1       2 those	systems	are
      1       1       1       2 This	doesn	t
      1       1       1       2 they	hold	power
      1       1       1       2 them	with	the
      1       1       1       2 the	world	s
      1       1       1       2 the	US	constitution
      1       1       1       2 the	term	artificial
      1       1       1       2 the	social	implications
      1       1       1       2 the	same	thing
      1       1       1       2 The	right	to
      1       1       1       2 the	Obama	administration
      1       1       1       2 the	number	of
      1       1       1       2 the	Human	Era
      1       1       1       2 the	hardware	software
      1       1       1       2 the	End	of
      1       1       1       2 the	economic	and
      1       1       1       2 the	country	on
      1       1       1       2 the	citizens	they
      1       1       1       2 the	benefits	and
      1       1       1       2 the	ancient	Chinese
      1       1       1       2 the	Allen	Institute
      1       1       1       2 the	age	of
      1       1       1       2 that	uses	data
      1       1       1       2 that	studies	the
      1       1       1       2 That	s	where
      1       1       1       2 that	it	is
      1       1       1       2 that	can	engage
      1       1       1       2 that	A	I
      1       1       1       2 Tesla	and	SpaceX
      1       1       1       2 term	artificial	intelligence
      1       1       1       2 tackle	some	of
      1       1       1       2 systems	that	are
      1       1       1       2 systems	are	opaque
      1       1       1       2 Subscribe	Continue	reading
      1       1       1       2 studies	the	social
      1       1       1       2 story		
      1       1       1       2 spend	240	million
      1       1       1       2 SpaceX	CEO	Elon
      1       1       1       2 some	aspect	of
      1       1       1       2 software	and	algorithms
      1       1       1       2 social	implications	of
      1       1       1       2 series	of	workshops
      1       1       1       2 self	driving	cars
      1       1       1       2 Science	and	algorithms
      1       1       1       2 says	too	many
      1       1       1       2 said	that	the
      1       1       1       2 said	artificial	intelligence
      1       1       1       2 s	Office	of
      1       1       1       2 s	A	I
      1       1       1       2 robotics	artificial	intelligence
      1       1       1       2 right	to	due
      1       1       1       2 researchers	in	artificial
      1       1       1       2 researchers	at	DeepMind
      1       1       1       2 research	lab	at
      1       1       1       2 research	institute	at
      1       1       1       2 Reprints	Today	s
      1       1       1       2 report	from	leading
      1       1       1       2 programs	that	can
      1       1       1       2 program	that	uses
      1       1       1       2 process	was	inscribed
      1       1       1       2 power	over	In
      1       1       1       2 planning	to	spend
      1       1       1       2 pen	A	new
      1       1       1       2 partner	on	artificial
      1       1       1       2 part	of	the
      1       1       1       2 Paper	Subscribe	Continue
      1       1       1       2 over	In	2016
      1       1       1       2 over	artificial	intelligence
      1       1       1       2 Our	final	invention
      1       1       1       2 Our	Fear	of
      1       1       1       2 Order	Reprints	Today
      1       1       1       2 opaque	to	the
      1       1       1       2 one	of	them
      1       1       1       2 on	the	benefits
      1       1       1       2 on	A	I
      1       1       1       2 Office	of	Science
      1       1       1       2 of	workshops	around
      1       1       1       2 of	those	systems
      1       1       1       2 of	them	with
      1       1       1       2 of	the	Human
      1       1       1       2 of	the	game
      1       1       1       2 of	the	economic
      1       1       1       2 of	some	aspect
      1       1       1       2 of	Science	and
      1       1       1       2 of	intelligent	machines
      1       1       1       2 Obama	administration	held
      1       1       1       2 NYU	that	studies
      1       1       1       2 Now	cohosted	one
      1       1       1       2 now	being	undermined
      1       1       1       2 next	decade	to
      1       1       1       2 model	of	some
      1       1       1       2 MIT	partner	on
      1       1       1       2 MIT	Its	mission
      1       1       1       2 mission	will	include
      1       1       1       2 million	over	the
      1       1       1       2 means	a	program
      1       1       1       2 master	the	ancient
      1       1       1       2 many	of	those
      1       1       1       2 main	story	
      1       1       1       2 leading	researchers	in
      1       1       1       2 lab	at	MIT
      1       1       1       2 keep	it	in
      1       1       1       2 Its	mission	will
      1       1       1       2 it	means	a
      1       1       1       2 it	is	now
      1       1       1       2 It	also	will
      1       1       1       2 is	planning	to
      1       1       1       2 is	now	being
      1       1       1       2 invention	Artificial	intelligence
      1       1       1       2 into	the	US
      1       1       1       2 into	artificial	intelligence
      1       1       1       2 intelligent	machines	and
      1       1       1       2 intelligence	will	make
      1       1       1       2 Intelligence	Today	s
      1       1       1       2 intelligence	systems	that
      1       1       1       2 intelligence	says	too
      1       1       1       2 intelligence	It	also
      1       1       1       2 intelligence	is	the
      1       1       1       2 intelligence	is	not
      1       1       1       2 Intelligence	has	various
      1       1       1       2 intelligence	Elon	Musk
      1       1       1       2 intelligence	cautions	it
      1       1       1       2 Intelligence	as	a
      1       1       1       2 Intelligence	and	the
      1       1       1       2 intelligence	AI	Now
      1       1       1       2 Institute	for	Artificial
      1       1       1       2 institute	at	NYU
      1       1       1       2 inscribed	into	the
      1       1       1       2 include	advancing	the
      1       1       1       2 in	the	age
      1       1       1       2 in	print	on
      1       1       1       2 in	general	it
      1       1       1       2 in	A	I
      1       1       1       2 In	2016	the
      1       1       1       2 implications	of	intelligent
      1       1       1       2 IBM	is	planning
      1       1       1       2 IBM	and	MIT
      1       1       1       2 huge	amounts	of
      1       1       1       2 How	to	Regulate
      1       1       1       2 House	s	Office
      1       1       1       2 hold	power	over
      1       1       1       2 held	a	series
      1       1       1       2 have	to	be
      1       1       1       2 has	various	definitions
      1       1       1       2 hardware	software	and
      1       1       1       2 general	it	means
      1       1       1       2 game	of	Go
      1       1       1       2 future	of	artificial
      1       1       1       2 from	leading	researchers
      1       1       1       2 for	A	I
      1       1       1       2 final	invention	Artificial
      1       1       1       2 field	of	A
      1       1       1       2 Fear	of	Artificial
      1       1       1       2 ethics	of	artificial
      1       1       1       2 ethical	implications	of
      1       1       1       2 End	of	the
      1       1       1       2 Elon	Musk	recently
      1       1       1       2 Elon	Musk	has
      1       1       1       2 Elon	Musk	and
      1       1       1       2 economic	and	ethical
      1       1       1       2 due	process	was
      1       1       1       2 driving	cars	artificial
      1       1       1       2 doesn	t	mean
      1       1       1       2 develop	A	I
      1       1       1       2 definitions	but	in
      1       1       1       2 decade	to	create
      1       1       1       2 days	to	master
      1       1       1       2 data	to	build
      1       1       1       2 create	an	artificial
      1       1       1       2 country	on	the
      1       1       1       2 constitution	with	a
      1       1       1       2 computer	programs	that
      1       1       1       2 computer	code	research
      1       1       1       2 coined	the	term
      1       1       1       2 cohosted	one	of
      1       1       1       2 code	research	institute
      1       1       1       2 citizens	they	hold
      1       1       1       2 Chinese	board	game
      1       1       1       2 CEO	Elon	Musk
      1       1       1       2 cautions	it	is
      1       1       1       2 cars	artificial	intelligence
      1       1       1       2 can	engage	in
      1       1       1       2 by	computer	code
      1       1       1       2 by	artificial	intelligence
      1       1       1       2 but	in	general
      1       1       1       2 build	a	model
      1       1       1       2 being	undermined	by
      1       1       1       2 be	able	to
      1       1       1       2 at	NYU	that
      1       1       1       2 at	MIT	Its
      1       1       1       2 at	artificial	intelligence
      1       1       1       2 aspect	of	the
      1       1       1       2 artificial	intelligence	with
      1       1       1       2 artificial	intelligence	systems
      1       1       1       2 artificial	intelligence	revolution
      1       1       1       2 Artificial	Intelligence	Opinion
      1       1       1       2 artificial	intelligence	Musk
      1       1       1       2 artificial	intelligence	It
      1       1       1       2 artificial	intelligence	in
      1       1       1       2 artificial	intelligence	Elon
      1       1       1       2 Artificial	intelligence	could
      1       1       1       2 artificial	intelligence	company
      1       1       1       2 artificial	intelligence	cautions
      1       1       1       2 artificial	intelligence	before
      1       1       1       2 artificial	intelligence	because
      1       1       1       2 artificial	intelligence	are
      1       1       1       2 artificial	intelligence	a
      1       1       1       2 around	the	country
      1       1       1       2 are	opaque	to
      1       1       1       2 appears	in	print
      1       1       1       2 and	the	End
      1       1       1       2 and	SpaceX	CEO
      1       1       1       2 and	MIT	partner
      1       1       1       2 and	ethical	implications
      1       1       1       2 and	algorithms	used
      1       1       1       2 and	algorithms	Artificial
      1       1       1       2 ancient	Chinese	board
      1       1       1       2 alternate	Artificial	Intelligence
      1       1       1       2 alternate	alternate	How
      1       1       1       2 alternate	alternate	Artificial
      1       1       1       2 also	will	tackle
      1       1       1       2 Allen	Institute	for
      1       1       1       2 algorithms	used	for
      1       1       1       2 algorithms	Artificial	Intelligence
      1       1       1       2 AI	Now	cohosted
      1       1       1       2 AI	artificial	intelligence
      1       1       1       2 advancing	the	hardware
      1       1       1       2 administration	held	a
      1       1       1       2 about	A	I
      1       1       1       2 A	version	of
      1       1       1       2 a	series	of
      1       1       1       2 a	program	that
      1       1       1       2 a	pen	A
      1       1       1       2 A	I	will
      1       1       1       2 A	I	to
      1       1       1       2 A	I	systems
      1       1       1       2 A	I	system
      1       1       1       2 A	I	s
      1       1       1       2 A	I	programs
      1       1       1       2 A	I	has
      1       1       1       2 a	group	of
      1       1       1       2 a	Artificial	intelligence
      1       1       1       2 240	million	over
      1       1       1       2 2016	the	Obama
      1       1       1       1 Zuckerberg	s	own
      1       1       1       1 Zuckerberg	over	the
      1       1       1       1 Zuckerberg	have	very
      1       1       1       1 Zuckerberg	clash	over
      1       1       1       1 Zuck	showdown	over
      1       1       1       1 Zone	TV	The
      1       1       1       1 Zone	TV	said
      1       1       1       1 Zone	TV	is
      1       1       1       1 Zone	TV	aims
      1       1       1       1 Zero	took	just
      1       1       1       1 Zero	the	Artificial
      1       1       1       1 Zacharia	the	chief
      1       1       1       1 your	product	the
      1       1       1       1 your	home	That
      1       1       1       1 your	child	may
      1       1       1       1 you	what	scares
      1       1       1       1 you	we	re
      1       1       1       1 you	view	crime
      1       1       1       1 you	understand	crime
      1       1       1       1 you	travel	But
      1       1       1       1 you	imagine	when
      1       1       1       1 you	have	the
      1       1       1       1 You	don	t
      1       1       1       1 You	could	do
      1       1       1       1 You	can	see
      1       1       1       1 you	are	interested
      1       1       1       1 you	agree	with
      1       1       1       1 you		
      1       1       1       1 York	mission	known
      1       1       1       1 York	addressing	its
      1       1       1       1 York	_taboola	push
      1       1       1       1 yet	For	example
      1       1       1       1 Yet	for	all
      1       1       1       1 yet	easy	to
      1       1       1       1 yet	develop	further
      1       1       1       1 yes	But	shouldn
      1       1       1       1 Yes	but	not
      1       1       1       1 Yes	but	it
      1       1       1       1 years	the	number
      1       1       1       1 years	if	ever
      1       1       1       1 years	How	artificial
      1       1       1       1 years	disruption	for
      1       1       1       1 year	when	the
      1       1       1       1 Year	Study	on
      1       1       1       1 year	s	RISE
      1       1       1       1 year	my	lab
      1       1       1       1 year	it	stunned
      1       1       1       1 year	In	March
      1       1       1       1 X	Robotics	Artificial
      1       1       1       1 wrote	this	overly
      1       1       1       1 wrote	the	beginning
      1       1       1       1 wrote	that	it
      1       1       1       1 wrong	person	these
      1       1       1       1 wrong	let	me
      1       1       1       1 writing	the	next
      1       1       1       1 wouldn	t	mean
      1       1       1       1 would	make	if
      1       1       1       1 would	love	to
      1       1       1       1 would	do	the
      1       1       1       1 would	cover	private
      1       1       1       1 would	be	ready
      1       1       1       1 worse	than	bet
      1       1       1       1 worse	A	I
      1       1       1       1 worry	The	first
      1       1       1       1 worry	that	developments
      1       1       1       1 worry	about	On
      1       1       1       1 Worried	About	Artificial
      1       1       1       1 world	While	a
      1       1       1       1 world	where	there
      1       1       1       1 world	s	leading
      1       1       1       1 world	s	best
      1       1       1       1 world	rather	than
      1       1       1       1 world	not	always
      1       1       1       1 world	MOSCOW	Russian
      1       1       1       1 world	more	Image
      1       1       1       1 world	monopolist	position
      1       1       1       1 world	may	be
      1       1       1       1 world	leader	in
      1       1       1       1 world	Google	s
      1       1       1       1 world	for	the
      1       1       1       1 works	Integrating	that
      1       1       1       1 works	for	a
      1       1       1       1 working	on	artificial
      1       1       1       1 Workforce	to	Develop
      1       1       1       1 workforce	Looking	specifically
      1       1       1       1 workers	what	options
      1       1       1       1 workers	to	do
      1       1       1       1 workers	or	perhaps
      1       1       1       1 workers	bartenders	concierges
      1       1       1       1 worked	on	A
      1       1       1       1 work	to	study
      1       1       1       1 work	for	Global
      1       1       1       1 work	for	certain
      1       1       1       1 work	fewer	hours
      1       1       1       1 Work	careers	Artificial
      1       1       1       1 work	and	live
      1       1       1       1 Wooldridge	Professor	of
      1       1       1       1 won	t	kill
      1       1       1       1 won	t	be
      1       1       1       1 without	explicit	approval
      1       1       1       1 without	being	replaced
      1       1       1       1 within	days	to
      1       1       1       1 within	and	between
      1       1       1       1 with	whichever	country
      1       1       1       1 With	Very	Real
      1       1       1       1 with	Think	of
      1       1       1       1 with	their	artificial
      1       1       1       1 with	the	world
      1       1       1       1 with	the	company
      1       1       1       1 with	the	changing
      1       1       1       1 with	technology	more
      1       1       1       1 with	talent	In
      1       1       1       1 with	science	fiction
      1       1       1       1 with	real	people
      1       1       1       1 with	Peter	Norvig
      1       1       1       1 with	other	nations
      1       1       1       1 with	Mr	Musk
      1       1       1       1 with	more	coming
      1       1       1       1 with	microdiscoveries	progress
      1       1       1       1 with	internet	connected
      1       1       1       1 with	In	a
      1       1       1       1 with	Google	s
      1       1       1       1 with	doctors	If
      1       1       1       1 with	both	models
      1       1       1       1 with	Big	Data
      1       1       1       1 with	an	opportunity
      1       1       1       1 with	algorithms	business
      1       1       1       1 with	A	I
      1       1       1       1 Wired	magazine	account
      1       1       1       1 Wiping	Out	Humanity
      1       1       1       1 will	use	artificial
      1       1       1       1 will	they	have
      1       1       1       1 will	swarm	Hackers
      1       1       1       1 will	swarm	average
      1       1       1       1 will	soon	outperform
      1       1       1       1 will	should	mean
      1       1       1       1 will	rule	world
      1       1       1       1 will	result	in
      1       1       1       1 will	replace	skilled
      1       1       1       1 will	overtake	us
      1       1       1       1 will	not	be
      1       1       1       1 Will	Motivation	and
      1       1       1       1 will	mean	they
      1       1       1       1 will	make	scientific
      1       1       1       1 will	make	life
      1       1       1       1 will	make	existing
      1       1       1       1 will	lead	to
      1       1       1       1 Will	it	What
      1       1       1       1 will	involve	service
      1       1       1       1 will	involve	educating
      1       1       1       1 will	have	to
      1       1       1       1 will	have	enough
      1       1       1       1 will	go	to
      1       1       1       1 will	explode	but
      1       1       1       1 will	eliminate	many
      1       1       1       1 will	dominate	in
      1       1       1       1 will	do	the
      1       1       1       1 will	comprise	mostly
      1       1       1       1 will	come	to
      1       1       1       1 will	change	the
      1       1       1       1 will	bring	about
      1       1       1       1 will	be	the
      1       1       1       1 will	be	marching
      1       1       1       1 will	be	forced
      1       1       1       1 will	be	consequences
      1       1       1       1 will	be	an
      1       1       1       1 will	again	Work
      1       1       1       1 will	absorb	all
      1       1       1       1 Why	We	Should
      1       1       1       1 Why	on	Artificial
      1       1       1       1 Why	by	Luke
      1       1       1       1 Why	Artificial	Intelligence
      1       1       1       1 whose	jobs	have
      1       1       1       1 whoever	reaches	a
      1       1       1       1 who	works	for
      1       1       1       1 who	takes	that
      1       1       1       1 who	serve	as
      1       1       1       1 who	sell	directly
      1       1       1       1 Who	s	the
      1       1       1       1 Who	s	Afraid
      1       1       1       1 who	has	experience
      1       1       1       1 who	coined	the
      1       1       1       1 Who	betrayed	Anne
      1       1       1       1 White	House	report
      1       1       1       1 While	science	fiction
      1       1       1       1 While	Pivoting	to
      1       1       1       1 while	developing	world
      1       1       1       1 While	a	large
      1       1       1       1 whichever	country	supplies
      1       1       1       1 which	will	have
      1       1       1       1 which	uses	a
      1       1       1       1 which	strength	begets
      1       1       1       1 which	served	as
      1       1       1       1 which	neural	networks
      1       1       1       1 which	learn	specific
      1       1       1       1 which	is	already
      1       1       1       1 which	has	been
      1       1       1       1 which	has	about
      1       1       1       1 whether	we	should
      1       1       1       1 Whether	or	not
      1       1       1       1 whether	on	the
      1       1       1       1 whether	an	A
      1       1       1       1 where	transparency	and
      1       1       1       1 where	they	re
      1       1       1       1 where	there	are
      1       1       1       1 where	the	world
      1       1       1       1 where	the	Global
      1       1       1       1 where	it	anticipates
      1       1       1       1 where	artificial	intelligence
      1       1       1       1 When	they	arrive
      1       1       1       1 when	there	is
      1       1       1       1 when	the	search
      1       1       1       1 when	someone	mentions
      1       1       1       1 when	it	s
      1       1       1       1 when	it	comes
      1       1       1       1 When	DeepMind	s
      1       1       1       1 when	cornered	Being
      1       1       1       1 when	cornered	_taboola
      1       1       1       1 When	Artificial	Intelligence
      1       1       1       1 when	A	I
      1       1       1       1 what	Sophia	the
      1       1       1       1 what	scares	me
      1       1       1       1 What	role	for
      1       1       1       1 what	options	will
      1       1       1       1 what	it	will
      1       1       1       1 What	It	Tells
      1       1       1       1 What	is	artificial
      1       1       1       1 What	Happens	When
      1       1       1       1 What	exactly	constitutes
      1       1       1       1 what	does	that
      1       1       1       1 What	do	you
      1       1       1       1 what	could	possibly
      1       1       1       1 what	combinations	for
      1       1       1       1 what	combination	of
      1       1       1       1 what	artificial	intelligence
      1       1       1       1 what	about	other
      1       1       1       1 weren	t	smart
      1       1       1       1 weren	t	able
      1       1       1       1 were	able	to
      1       1       1       1 well	suited	for
      1       1       1       1 well	chatbots	the
      1       1       1       1 well	as	for
      1       1       1       1 welfare	subsidies	in
      1       1       1       1 welfare	initiatives	via
      1       1       1       1 Week	When	DeepMind
      1       1       1       1 week	s	skirmish
      1       1       1       1 Week	Here	s
      1       1       1       1 Wednesday	18	October
      1       1       1       1 weather	or	I
      1       1       1       1 weapons	with	artificial
      1       1       1       1 weapons	that	violate
      1       1       1       1 weapons	jobs	and
      1       1       1       1 weapons	could	easily
      1       1       1       1 weapons	are	artificial
      1       1       1       1 weaponized	and	any
      1       1       1       1 weak	AI	in
      1       1       1       1 we	work	and
      1       1       1       1 we	ve	found
      1       1       1       1 we	ve	created
      1       1       1       1 we	take	steps
      1       1       1       1 We	Should	Think
      1       1       1       1 we	should	regulate
      1       1       1       1 we	should	develop
      1       1       1       1 we	re	using
      1       1       1       1 we	re	on
      1       1       1       1 we	re	casting
      1       1       1       1 we	need	a
      1       1       1       1 We	must	take
      1       1       1       1 we	may	never
      1       1       1       1 we	may	have
      1       1       1       1 we	love	about
      1       1       1       1 We	look	for
      1       1       1       1 we	keep	it
      1       1       1       1 we	have	seen
      1       1       1       1 we	have	nothing
      1       1       1       1 We	have	already
      1       1       1       1 we	get	into
      1       1       1       1 we	envision	A
      1       1       1       1 we	enhance	these
      1       1       1       1 we	do	so
      1       1       1       1 we	couldn	t
      1       1       1       1 we	close	too
      1       1       1       1 we	chose	not
      1       1       1       1 we	can	t
      1       1       1       1 we	build	an
      1       1       1       1 We	believe	that
      1       1       1       1 we	are	the
      1       1       1       1 we	are	going
      1       1       1       1 way	you	travel
      1       1       1       1 way	you	
      1       1       1       1 way	Washington	professor
      1       1       1       1 way	to	go
      1       1       1       1 way	they	think
      1       1       1       1 way	or	another
      1       1       1       1 wave	On	Tuesday
      1       1       1       1 Watson	which	served
      1       1       1       1 Watson	used	in
      1       1       1       1 Watson	more	than
      1       1       1       1 Watson	an	A
      1       1       1       1 Watch	said	that
      1       1       1       1 Washington	that	was
      1       1       1       1 Washington	state	
      1       1       1       1 Washington	professor	and
      1       1       1       1 was	uniquely	capable
      1       1       1       1 was	to	determine
      1       1       1       1 was	entertaining	if
      1       1       1       1 was	developed	by
      1       1       1       1 was	co	founded
      1       1       1       1 wars	could	become
      1       1       1       1 want	the	F
      1       1       1       1 want	autonomous	vehicles
      1       1       1       1 want	A	I
      1       1       1       1 waits	on	stage
      1       1       1       1 Wait	But	Why
      1       1       1       1 vs	Zuck	showdown
      1       1       1       1 vocal	about	his
      1       1       1       1 Vladimir	Putin	says
      1       1       1       1 visual	perception	A
      1       1       1       1 visionary	inventor	Elon
      1       1       1       1 virtual	teaching	assistant
      1       1       1       1 violate	international	treaties
      1       1       1       1 views	of	the
      1       1       1       1 viewers		
      1       1       1       1 view	that	confuses
      1       1       1       1 view	crime	as
      1       1       1       1 view	about	A
      1       1       1       1 videos	to	individual
      1       1       1       1 videos	My	third
      1       1       1       1 Video	provided	by
      1       1       1       1 video	interview	that
      1       1       1       1 via	taxes	But
      1       1       1       1 veteran	as	their
      1       1       1       1 vessels	dredging	through
      1       1       1       1 Very	Real	Biases
      1       1       1       1 very	differing	opinions
      1       1       1       1 version	of	us
      1       1       1       1 verge	of	Sweigert
      1       1       1       1 Venture	capitalist	will
      1       1       1       1 vehicles	that	drive
      1       1       1       1 vehicles	rather	than
      1       1       1       1 ve	found	
      1       1       1       1 ve	created	all
      1       1       1       1 vast	amounts	of
      1       1       1       1 various	types	of
      1       1       1       1 variety	of	artificial
      1       1       1       1 values	it	will
      1       1       1       1 Valley	s	resident
      1       1       1       1 Valley	giant	is
      1       1       1       1 valid	concerns	about
      1       1       1       1 uuid	bO3beFYDEeeEC1EgJjGdpw	Hopper
      1       1       1       1 utilizing	a	humanoid
      1       1       1       1 utilize	for	various
      1       1       1       1 utilization	of	robotics
      1       1       1       1 using	computing	power
      1       1       1       1 using	A	I
      1       1       1       1 uses	artificial	intelligence
      1       1       1       1 uses	a	variety
      1       1       1       1 users	Such	economic
      1       1       1       1 used	only	robot
      1       1       1       1 used	in	IBM
      1       1       1       1 used	for	evil
      1       1       1       1 used	by	gamers
      1       1       1       1 use	of	A
      1       1       1       1 use	every	day
      1       1       1       1 use	computers	to
      1       1       1       1 use	artificial	intelligenceJames
      1       1       1       1 use	and	effects
      1       1       1       1 us	with	an
      1       1       1       1 us	to	combine
      1       1       1       1 us	The	A
      1       1       1       1 us	researcher	at
      1       1       1       1 us	on	Timur
      1       1       1       1 Us	Can	we
      1       1       1       1 us	but	it
      1       1       1       1 us	Artificial	intelligence
      1       1       1       1 us	all	Meet
      1       1       1       1 Us	About	A
      1       1       1       1 urged	the	nation
      1       1       1       1 ups	will	explode
      1       1       1       1 up	Time	Tesla
      1       1       1       1 up	knowledge	on
      1       1       1       1 up	for	more
      1       1       1       1 up	company	share
      1       1       1       1 up	by	Facebook
      1       1       1       1 unveiled	the	latest
      1       1       1       1 Unstick	It	Today
      1       1       1       1 unruly	Instead	specialized
      1       1       1       1 unnerved	by	one
      1       1       1       1 unlock	the	opaque
      1       1       1       1 Unlike	the	Industrial
      1       1       1       1 University	told	a
      1       1       1       1 University	s	Stuart
      1       1       1       1 University	of	California
      1       1       1       1 University	Heni	Ben
      1       1       1       1 United	States	to
      1       1       1       1 United	States	and
      1       1       1       1 uniquely	capable	of
      1       1       1       1 unique	and	diversified
      1       1       1       1 unimaginable	revolution	in
      1       1       1       1 Unemployment	underemployment	Ironic
      1       1       1       1 unemployment	I	suspect
      1       1       1       1 underway	is	reminiscent
      1       1       1       1 understanding	the	emerging
      1       1       1       1 understanding	of	artificial
      1       1       1       1 understanding	Continue	reading
      1       1       1       1 understand	to	a
      1       1       1       1 understand	or	anticipate
      1       1       1       1 understand	crime	as
      1       1       1       1 underemployment	Ironic	since
      1       1       1       1 under	former	President
      1       1       1       1 under	an	open
      1       1       1       1 unavoidable	that	large
      1       1       1       1 ultra	profitable	A
      1       1       1       1 ultimate	intellectual	version
      1       1       1       1 ultimate	impact	on
      1       1       1       1 Uh	oh	Musk
      1       1       1       1 Uber	would	make
      1       1       1       1 U	S	Nasdaq
      1       1       1       1 types	of	jobs
      1       1       1       1 types	of	cancer
      1       1       1       1 two	recent	developments
      1       1       1       1 Two	main	problems
      1       1       1       1 two	insurmountable	problems
      1       1       1       1 two	Hassabis	a
      1       1       1       1 two	current	approaches
      1       1       1       1 two	companies	put
      1       1       1       1 Twitter	A	I
      1       1       1       1 twist	rather	than
      1       1       1       1 tweets	they	also
      1       1       1       1 TV	The	twist
      1       1       1       1 TV	said	it
      1       1       1       1 TV	is	launching
      1       1       1       1 TV	executives	to
      1       1       1       1 TV	channels	Zone
      1       1       1       1 TV	channels	Submit
      1       1       1       1 TV	aims	to
      1       1       1       1 Turns	On	Us
      1       1       1       1 turn	to	machine
      1       1       1       1 turbocharged	personal	computers
      1       1       1       1 Tuesday	to	deal
      1       1       1       1 trying	to	simulate
      1       1       1       1 trying	to	define
      1       1       1       1 Trump	on	Twitter
      1       1       1       1 true	Investments	into
      1       1       1       1 true	human	intelligence
      1       1       1       1 true	Hackers	will
      1       1       1       1 Trigger	Artificial	intelligence
      1       1       1       1 Tries	to	Protect
      1       1       1       1 treaties	Our	common
      1       1       1       1 travels	through	the
      1       1       1       1 travelers	use	artificial
      1       1       1       1 travelers	A	new
      1       1       1       1 travel	The	technologists
      1       1       1       1 travel	terrorists	protected
      1       1       1       1 travel	technology	company
      1       1       1       1 travel	But	maybe
      1       1       1       1 travel	and	they
      1       1       1       1 travel	And	protected
      1       1       1       1 travel	And	less
      1       1       1       1 travel	a	little
      1       1       1       1 Transparency	is	a
      1       1       1       1 transparency	and	protected
      1       1       1       1 transparency	and	accountability
      1       1       1       1 translation	speech	recognition
      1       1       1       1 translate	languages	Intel
      1       1       1       1 Translate		
      1       1       1       1 transition	IEEE	Special
      1       1       1       1 transforming	how	we
      1       1       1       1 transformation	will	result
      1       1       1       1 transform	our	world
      1       1       1       1 transform	jobs	in
      1       1       1       1 transferred	to	those
      1       1       1       1 Transcending	Complacency	on
      1       1       1       1 Transcendence	Our	Fear
      1       1       1       1 toy	such	as
      1       1       1       1 toward	the	robustness
      1       1       1       1 top	down	and
      1       1       1       1 top	AI	researcher
      1       1       1       1 tools	like	the
      1       1       1       1 tools	aren	t
      1       1       1       1 tool	was	developed
      1       1       1       1 tool	Automation	is
      1       1       1       1 took	just	three
      1       1       1       1 too	there	The
      1       1       1       1 Too	often	the
      1       1       1       1 too	of	the
      1       1       1       1 too	many	doors
      1       1       1       1 too	late	Mr
      1       1       1       1 too	complex	for
      1       1       1       1 told	the	Committee
      1       1       1       1 told	a	select
      1       1       1       1 together	an	artificial
      1       1       1       1 today	s	artificial
      1       1       1       1 today	Roughly	speaking
      1       1       1       1 today	is	properly
      1       1       1       1 Today	Facebook	Artificial
      1       1       1       1 to	worry	The
      1       1       1       1 to	worry	about
      1       1       1       1 to	work	fewer
      1       1       1       1 to	Wait	But
      1       1       1       1 to	use	computers
      1       1       1       1 to	use	artificial
      1       1       1       1 to	unlock	the
      1       1       1       1 to	thousands	of
      1       1       1       1 to	those	whose
      1       1       1       1 to	this	question
      1       1       1       1 to	think	like
      1       1       1       1 to	the	United
      1       1       1       1 to	the	problem
      1       1       1       1 to	the	Precipice
      1       1       1       1 to	the	next
      1       1       1       1 to	the	Movies
      1       1       1       1 to	the	growing
      1       1       1       1 to	the	full
      1       1       1       1 to	the	final
      1       1       1       1 to	the	existence
      1       1       1       1 to	the	consumers
      1       1       1       1 to	thank	For
      1       1       1       1 to	tax	ultra
      1       1       1       1 to	succeed	I
      1       1       1       1 to	subsidize	their
      1       1       1       1 to	study	the
      1       1       1       1 to	steer	it
      1       1       1       1 to	start	thinking
      1       1       1       1 to	spike	This
      1       1       1       1 to	specialize	in
      1       1       1       1 to	simulate	true
      1       1       1       1 to	share	its
      1       1       1       1 to	self	driving
      1       1       1       1 to	select	and
      1       1       1       1 to	reveal	her
      1       1       1       1 to	rethink	economic
      1       1       1       1 to	researchers	at
      1       1       1       1 to	release	A
      1       1       1       1 to	recognize	University
      1       1       1       1 to	read	could
      1       1       1       1 to	radically	transform
      1       1       1       1 to	put	the
      1       1       1       1 to	Protect	Lead
      1       1       1       1 to	program	TV
      1       1       1       1 to	program	the
      1       1       1       1 to	profit	from
      1       1       1       1 to	problems	too
      1       1       1       1 to	predict	impact
      1       1       1       1 to	power	their
      1       1       1       1 to	power	its
      1       1       1       1 to	play	the
      1       1       1       1 to	perform	tasks
      1       1       1       1 to	perform	a
      1       1       1       1 to	other	countries
      1       1       1       1 to	or	the
      1       1       1       1 to	negotiate	with
      1       1       1       1 to	negotiate	remarkably
      1       1       1       1 to	Move	It
      1       1       1       1 to	minimize	the
      1       1       1       1 to	make	travel
      1       1       1       1 to	make	the
      1       1       1       1 to	make	decisions
      1       1       1       1 to	machine	learning
      1       1       1       1 to	Learn	Entirely
      1       1       1       1 to	learn	
      1       1       1       1 to	kill	In
      1       1       1       1 to	its	human
      1       1       1       1 to	individual	viewers
      1       1       1       1 To	Humanity	Says
      1       1       1       1 to	humanity	an
      1       1       1       1 to	help	Read
      1       1       1       1 to	help	not
      1       1       1       1 to	help	answer
      1       1       1       1 to	hear	at
      1       1       1       1 to	have	to
      1       1       1       1 to	handle	vast
      1       1       1       1 to	grander	projects
      1       1       1       1 to	go	Sure
      1       1       1       1 to	get	ready
      1       1       1       1 To	get	computers
      1       1       1       1 to	general	A
      1       1       1       1 to	funding	A
      1       1       1       1 to	fund	welfare
      1       1       1       1 to	fully	comprehend
      1       1       1       1 to	fool	students
      1       1       1       1 to	firmly	Tags
      1       1       1       1 to	finish	the
      1       1       1       1 to	examine	the
      1       1       1       1 to	essentially	become
      1       1       1       1 to	environment	and
      1       1       1       1 to	engage	in
      1       1       1       1 to	emerge	if
      1       1       1       1 to	dystopian	views
      1       1       1       1 to	dominate	the
      1       1       1       1 to	do	the
      1       1       1       1 to	do	something
      1       1       1       1 to	do	research
      1       1       1       1 to	do	More
      1       1       1       1 to	dialog	driven
      1       1       1       1 to	Develop	Artificial
      1       1       1       1 to	determine	whether
      1       1       1       1 to	define	and
      1       1       1       1 to	deal	with
      1       1       1       1 to	data	from
      1       1       1       1 to	consider	the
      1       1       1       1 to	combine	flights
      1       1       1       1 to	code	and
      1       1       1       1 to	choose	to
      1       1       1       1 to	catch	the
      1       1       1       1 to	build	Google
      1       1       1       1 to	build	autonomous
      1       1       1       1 to	break	into
      1       1       1       1 to	both	the
      1       1       1       1 to	boost	performance
      1       1       1       1 to	better	space
      1       1       1       1 to	benefit	from
      1       1       1       1 to	be	transferred
      1       1       1       1 to	be	passive
      1       1       1       1 to	be	paranoid
      1       1       1       1 to	be	alarmed
      1       1       1       1 to	automatically	elicit
      1       1       1       1 to	automate	routine
      1       1       1       1 to	attempt	to
      1       1       1       1 to	at	least
      1       1       1       1 To	assess	Jill
      1       1       1       1 to	ask	whether
      1       1       1       1 to	analyze	pricing
      1       1       1       1 to	an	unimaginable
      1       1       1       1 to	Although	the
      1       1       1       1 to	alter	the
      1       1       1       1 to	alter	employment
      1       1       1       1 to	AI	artificial
      1       1       1       1 to	advance	the
      1       1       1       1 to	advance	medicine
      1       1       1       1 to	acquire	confidential
      1       1       1       1 to	a	toy
      1       1       1       1 to	a	single
      1       1       1       1 to	a	majority
      1       1       1       1 to	a	limited
      1       1       1       1 to	a	Artificial
      1       1       1       1 tips	on	how
      1       1       1       1 Timur	Kalimov	is
      1       1       1       1 Time	Tesla	and
      1       1       1       1 time	last	year
      1       1       1       1 through	the	aperture
      1       1       1       1 through	red	lights
      1       1       1       1 through	excel	sheets
      1       1       1       1 through	data	in
      1       1       1       1 thrones	george	r
      1       1       1       1 Thrones	book	August
      1       1       1       1 Thrones	book	artificial
      1       1       1       1 Thrones	book	45
      1       1       1       1 Thrones	book	35
      1       1       1       1 Thrones	book	
      1       1       1       1 thriller	People	worry
      1       1       1       1 three	years	the
      1       1       1       1 three	rules	of
      1       1       1       1 three	rules	for
      1       1       1       1 three	laws	of
      1       1       1       1 three	laws	are
      1       1       1       1 three	days	to
      1       1       1       1 three	A	I
      1       1       1       1 threats	we	don
      1       1       1       1 threat	to	humanity
      1       1       1       1 Threat	shivers	down
      1       1       1       1 Threat	Order	Reprints
      1       1       1       1 Threat	Fashion	Style
      1       1       1       1 threat	but	A
      1       1       1       1 Threat	Artificial	Intelligence
      1       1       1       1 thousands	of	domains
      1       1       1       1 Though	concerns	and
      1       1       1       1 those	whose	jobs
      1       1       1       1 those	but	advanced
      1       1       1       1 those	A	I
      1       1       1       1 this	year	when
      1       1       1       1 this	year	s
      1       1       1       1 This	wouldn	t
      1       1       1       1 This	Week	When
      1       1       1       1 This	Week	Here
      1       1       1       1 This	unique	and
      1       1       1       1 This	transformation	will
      1       1       1       1 This	seems	This
      1       1       1       1 This	rule	would
      1       1       1       1 this	question	resembles
      1       1       1       1 this	overly	optimistic
      1       1       1       1 this	op	ed
      1       1       1       1 This	leads	to
      1       1       1       1 This	kind	of
      1       1       1       1 This	is	from
      1       1       1       1 this	hits	different
      1       1       1       1 this	genius	keep
      1       1       1       1 this	data	world
      1       1       1       1 this	as	someone
      1       1       1       1 this	article	appears
      1       1       1       1 This	anxiety	spills
      1       1       1       1 This	8	Crime
      1       1       1       1 third	rule	is
      1       1       1       1 thinking	for	workers
      1       1       1       1 thinking	about	how
      1       1       1       1 think	or	the
      1       1       1       1 Think	of	artificial
      1       1       1       1 Think	of	all
      1       1       1       1 think	like	humans
      1       1       1       1 Think	About	the
      1       1       1       1 things	like	identity
      1       1       1       1 things	like	data
      1       1       1       1 thing	with	their
      1       1       1       1 thing	They	should
      1       1       1       1 they	would	do
      1       1       1       1 they	will	be
      1       1       1       1 they	weren	t
      1       1       1       1 they	think	or
      1       1       1       1 They	should	A
      1       1       1       1 They	re	late
      1       1       1       1 they	re	coming
      1       1       1       1 they	ll	breathlessly
      1       1       1       1 they	have	I
      1       1       1       1 They	face	two
      1       1       1       1 they	do	now
      1       1       1       1 they	develop	an
      1       1       1       1 They	concern	situations
      1       1       1       1 they	commit	a
      1       1       1       1 They	can	do
      1       1       1       1 they	arrive	we
      1       1       1       1 They	are	simply
      1       1       1       1 they	are	pouring
      1       1       1       1 they	are	a
      1       1       1       1 they	also	produce
      1       1       1       1 TheWrap		
      1       1       1       1 Theses	are	technological
      1       1       1       1 these	weapons	could
      1       1       1       1 These	three	laws
      1       1       1       1 these	days	but
      1       1       1       1 These	challenges	are
      1       1       1       1 these	benefits	with
      1       1       1       1 These	are	jobs
      1       1       1       1 These	3	stocks
      1       1       1       1 there	will	be
      1       1       1       1 there	will	again
      1       1       1       1 there	The	solution
      1       1       1       1 there	is	something
      1       1       1       1 there	is	no
      1       1       1       1 there	are	valid
      1       1       1       1 there	are	no
      1       1       1       1 there	are	hundreds
      1       1       1       1 There	are	fascinating
      1       1       1       1 then	smart	machines
      1       1       1       1 then	nations	like
      1       1       1       1 then	I	read
      1       1       1       1 then	A	I
      1       1       1       1 themselves	how	to
      1       1       1       1 themselves	and	make
      1       1       1       1 theme	at	this
      1       1       1       1 them	to	a
      1       1       1       1 them	here	as
      1       1       1       1 them	according	to
      1       1       1       1 their	workers	what
      1       1       1       1 their	results	with
      1       1       1       1 their	own	nonhuman
      1       1       1       1 their	new	leader
      1       1       1       1 their	human	developers
      1       1       1       1 their	exceptional	ability
      1       1       1       1 their	efforts	into
      1       1       1       1 their	content	The
      1       1       1       1 their	booking	engines
      1       1       1       1 their	battle	is
      1       1       1       1 their	artificial	intelligence
      1       1       1       1 their	A	I
      1       1       1       1 theft	denial	of
      1       1       1       1 the	wrong	person
      1       1       1       1 the	world	rather
      1       1       1       1 the	world	monopolist
      1       1       1       1 the	world	may
      1       1       1       1 the	world	Google
      1       1       1       1 the	world	for
      1       1       1       1 the	workforce	Looking
      1       1       1       1 the	weather	or
      1       1       1       1 the	way	you
      1       1       1       1 the	way	they
      1       1       1       1 the	verge	of
      1       1       1       1 the	use	and
      1       1       1       1 the	United	States
      1       1       1       1 the	ultimate	intellectual
      1       1       1       1 the	two	companies
      1       1       1       1 The	twist	rather
      1       1       1       1 the	transition	IEEE
      1       1       1       1 the	Topics	Artificial
      1       1       1       1 the	three	laws
      1       1       1       1 the	Threat	of
      1       1       1       1 the	These	three
      1       1       1       1 the	The	superhero
      1       1       1       1 The	technology	entrepreneur
      1       1       1       1 the	technology	across
      1       1       1       1 The	technologists	are
      1       1       1       1 the	technologies	many
      1       1       1       1 the	tangible	impact
      1       1       1       1 the	system	
      1       1       1       1 The	Superintelligent	Will
      1       1       1       1 The	superhero	of
      1       1       1       1 the	standard	AI
      1       1       1       1 the	source	of
      1       1       1       1 the	solutions	to
      1       1       1       1 The	solution	to
      1       1       1       1 the	social	networking
      1       1       1       1 the	social	causes
      1       1       1       1 the	smartest	said
      1       1       1       1 the	smartest	people
      1       1       1       1 the	sixth	book
      1       1       1       1 the	singularity	that
      1       1       1       1 the	Silicon	Valley
      1       1       1       1 the	series	that
      1       1       1       1 The	security	system
      1       1       1       1 the	sector	join
      1       1       1       1 the	search	engine
      1       1       1       1 the	same	A
      1       1       1       1 the	safety	of
      1       1       1       1 the	robustness	and
      1       1       1       1 the	Robot	waits
      1       1       1       1 the	Robot	participate
      1       1       1       1 the	Robot	left
      1       1       1       1 the	Robot	is
      1       1       1       1 the	RISE	Technology
      1       1       1       1 the	rise	of
      1       1       1       1 the	rise	in
      1       1       1       1 the	rest	with
      1       1       1       1 the	report	said
      1       1       1       1 The	Real	Threat
      1       1       1       1 the	race	to
      1       1       1       1 the	public	understanding
      1       1       1       1 the	property	of
      1       1       1       1 the	promise	of
      1       1       1       1 the	programming	language
      1       1       1       1 the	programmer	s
      1       1       1       1 the	problem	of
      1       1       1       1 The	problem	is
      1       1       1       1 The	pressures	from
      1       1       1       1 the	Precipice	a
      1       1       1       1 the	potential	of
      1       1       1       1 the	potential	effects
      1       1       1       1 The	point	of
      1       1       1       1 the	plot	of
      1       1       1       1 the	planet	or
      1       1       1       1 the	people	skills
      1       1       1       1 the	parent	nation
      1       1       1       1 The	outlying	specialized
      1       1       1       1 the	outlook	isn
      1       1       1       1 the	opaque	nature
      1       1       1       1 the	Obama	under
      1       1       1       1 the	next	great
      1       1       1       1 the	next	Game
      1       1       1       1 the	next	frontier
      1       1       1       1 the	next	A
      1       1       1       1 the	new	focus
      1       1       1       1 the	natural	next
      1       1       1       1 the	nation	s
      1       1       1       1 the	mystery	It
      1       1       1       1 the	multi	millennia
      1       1       1       1 the	Movies	Transcendence
      1       1       1       1 the	most	prominent
      1       1       1       1 the	most	practical
      1       1       1       1 the	most	influential
      1       1       1       1 the	more	so
      1       1       1       1 The	more	data
      1       1       1       1 the	money	created
      1       1       1       1 the	money	being
      1       1       1       1 the	moment	there
      1       1       1       1 the	minority	Artificial
      1       1       1       1 the	millions	from
      1       1       1       1 the	matter	more
      1       1       1       1 The	Master	Algorithm
      1       1       1       1 the	man	who
      1       1       1       1 the	looming	A
      1       1       1       1 the	long	term
      1       1       1       1 the	limitations	of
      1       1       1       1 the	likely	impact
      1       1       1       1 the	life	It
      1       1       1       1 the	lesson	from
      1       1       1       1 the	latest	incarnation
      1       1       1       1 The	latest	entrant
      1       1       1       1 the	last	three
      1       1       1       1 the	largest	open
      1       1       1       1 the	Korean	Go
      1       1       1       1 The	Keynesian	approach
      1       1       1       1 the	jobs	it
      1       1       1       1 the	job	market
      1       1       1       1 the	intricate	yet
      1       1       1       1 the	interest	of
      1       1       1       1 the	initiative	to
      1       1       1       1 the	information	that
      1       1       1       1 the	industry	as
      1       1       1       1 the	Industrial	Revolution
      1       1       1       1 the	increasing	number
      1       1       1       1 the	implications	of
      1       1       1       1 the	impact	of
      1       1       1       1 the	iconic	In
      1       1       1       1 the	human	interface
      1       1       1       1 the	human	brain
      1       1       1       1 the	headline	The
      1       1       1       1 the	headline	Intel
      1       1       1       1 the	headline	How
      1       1       1       1 the	headline	Artificial
      1       1       1       1 the	headline	A
      1       1       1       1 the	HBO	show
      1       1       1       1 the	haves	and
      1       1       1       1 the	have	nots
      1       1       1       1 the	hands	of
      1       1       1       1 the	growing	list
      1       1       1       1 the	government	should
      1       1       1       1 the	Google	owned
      1       1       1       1 the	Google	computer
      1       1       1       1 the	Global	X
      1       1       1       1 the	global	software
      1       1       1       1 the	game	of
      1       1       1       1 the	game	By
      1       1       1       1 the	future	Photo
      1       1       1       1 the	full	gamut
      1       1       1       1 the	front	lines
      1       1       1       1 The	free	tool
      1       1       1       1 the	founders	of
      1       1       1       1 the	founder	of
      1       1       1       1 the	first	time
      1       1       1       1 The	first	more
      1       1       1       1 the	final	and
      1       1       1       1 the	field	of
      1       1       1       1 the	field	For
      1       1       1       1 the	fastest	but
      1       1       1       1 the	factory	floor
      1       1       1       1 the	Facebook	Microsoft
      1       1       1       1 the	F	B
      1       1       1       1 the	experiment	was
      1       1       1       1 the	existence	of
      1       1       1       1 the	event	as
      1       1       1       1 The	Ethics	of
      1       1       1       1 the	entire	compendium
      1       1       1       1 the	enormous	engagement
      1       1       1       1 the	employment	prospects
      1       1       1       1 the	emerging	ethics
      1       1       1       1 the	Economy	White
      1       1       1       1 the	early	days
      1       1       1       1 the	dominant	theme
      1       1       1       1 the	discussion	forum
      1       1       1       1 the	dirty	little
      1       1       1       1 the	director	of
      1       1       1       1 the	dependent	country
      1       1       1       1 the	dangers	of
      1       1       1       1 the	corporate	earnings
      1       1       1       1 the	contrary	the
      1       1       1       1 the	consumers	infatuated
      1       1       1       1 the	computer	revolution
      1       1       1       1 the	company	s
      1       1       1       1 The	company	just
      1       1       1       1 The	company	has
      1       1       1       1 the	companies	that
      1       1       1       1 the	Committee	appointed
      1       1       1       1 the	cloud	and
      1       1       1       1 the	city	s
      1       1       1       1 the	chief	technology
      1       1       1       1 the	chief	executive
      1       1       1       1 the	channels	Zone
      1       1       1       1 the	changing	competitive
      1       1       1       1 the	case	of
      1       1       1       1 the	breakthroughs	This
      1       1       1       1 the	breakthrough	removes
      1       1       1       1 the	box	Science
      1       1       1       1 the	better	your
      1       1       1       1 the	better	the
      1       1       1       1 the	best	practices
      1       1       1       1 the	best	human
      1       1       1       1 the	Beneficial	AI
      1       1       1       1 the	beginning	of
      1       1       1       1 the	basis	of
      1       1       1       1 the	barn	and
      1       1       1       1 the	automation	of
      1       1       1       1 the	author	with
      1       1       1       1 the	audience	what
      1       1       1       1 The	Assistant	Professor
      1       1       1       1 the	areas	of
      1       1       1       1 the	aperture	of
      1       1       1       1 the	answer	will
      1       1       1       1 the	answer	to
      1       1       1       1 the	answer	is
      1       1       1       1 the	amorphous	and
      1       1       1       1 the	aigency	is
      1       1       1       1 The	AI	is
      1       1       1       1 the	adoption	of
      1       1       1       1 the	academy	and
      1       1       1       1 the	1960s	and
      1       1       1       1 the		
      1       1       1       1 that	your	child
      1       1       1       1 that	won	t
      1       1       1       1 that	will	lead
      1       1       1       1 that	whoever	reaches
      1       1       1       1 that	we	ve
      1       1       1       1 that	we	should
      1       1       1       1 that	we	couldn
      1       1       1       1 that	we	can
      1       1       1       1 that	was	co
      1       1       1       1 that	violate	international
      1       1       1       1 that	there	will
      1       1       1       1 that	there	are
      1       1       1       1 that	the	These
      1       1       1       1 that	the	race
      1       1       1       1 that	the	lesson
      1       1       1       1 that	the	HBO
      1       1       1       1 that	takes	in
      1       1       1       1 that	sort	of
      1       1       1       1 that	society	needs
      1       1       1       1 that	security	researchers
      1       1       1       1 that	s	lashing
      1       1       1       1 that	s	a
      1       1       1       1 that	Russia	would
      1       1       1       1 that	risk	seriously
      1       1       1       1 that	recently	beat
      1       1       1       1 that	potentially	stand
      1       1       1       1 that	point	in
      1       1       1       1 that	places	top
      1       1       1       1 that	our	A
      1       1       1       1 that	now	exist
      1       1       1       1 that	neither	of
      1       1       1       1 That	My	three
      1       1       1       1 that	mean	This
      1       1       1       1 that	may	not
      1       1       1       1 that	many	investors
      1       1       1       1 that	large	chunks
      1       1       1       1 that	it	was
      1       1       1       1 that	it	still
      1       1       1       1 that	information	Because
      1       1       1       1 That	includes	machine
      1       1       1       1 that	improve	productivity
      1       1       1       1 that	if	we
      1       1       1       1 that	identify	images
      1       1       1       1 that	I	ll
      1       1       1       1 that	humorously	impersonated
      1       1       1       1 that	humans	can
      1       1       1       1 that	give	people
      1       1       1       1 that	follows	the
      1       1       1       1 that	explains	deep
      1       1       1       1 that	experiments	like
      1       1       1       1 that	entrap	people
      1       1       1       1 that	drive	through
      1       1       1       1 that	doesn	t
      1       1       1       1 that	discusses	AI
      1       1       1       1 that	diagnose	cancer
      1       1       1       1 that	developments	in
      1       1       1       1 that	development	Artificial
      1       1       1       1 that	develop	A
      1       1       1       1 that	country	s
      1       1       1       1 that	confuses	A
      1       1       1       1 that	artificial	intelligence
      1       1       1       1 that	are	programmed
      1       1       1       1 that	are	inspired
      1       1       1       1 that	are	almost
      1       1       1       1 that	are	able
      1       1       1       1 that	apply	to
      1       1       1       1 that	anyone	building
      1       1       1       1 that	an	artificial
      1       1       1       1 that	an	A
      1       1       1       1 that	adopt	it
      1       1       1       1 thanks	in	part
      1       1       1       1 thank	For	that
      1       1       1       1 than	Yes	but
      1       1       1       1 than	trying	to
      1       1       1       1 than	they	do
      1       1       1       1 than	the	property
      1       1       1       1 than	restricting	them
      1       1       1       1 than	nukes	And
      1       1       1       1 than	most	people
      1       1       1       1 than	just	common
      1       1       1       1 than	employing	TV
      1       1       1       1 than	bet	they
      1       1       1       1 than	anything	else
      1       1       1       1 than	a	central
      1       1       1       1 than	400	million
      1       1       1       1 textbook	for	two
      1       1       1       1 tests	by	having
      1       1       1       1 terrorists	protected	from
      1       1       1       1 terrorist	threats	we
      1       1       1       1 Terrifyingly	Google	s
      1       1       1       1 term	thanks	in
      1       1       1       1 term	future	of
      1       1       1       1 tend	to	be
      1       1       1       1 Tencent	are	making
      1       1       1       1 temperatures	Source	Climatecentral
      1       1       1       1 Tells	Us	About
      1       1       1       1 tellers	Unlike	the
      1       1       1       1 tell	you	what
      1       1       1       1 tell	you	we
      1       1       1       1 Tegmark	The	Future
      1       1       1       1 technology	that	takes
      1       1       1       1 technology	s	hottest
      1       1       1       1 technology	officer	for
      1       1       1       1 technology	more	than
      1       1       1       1 Technology	Intel	While
      1       1       1       1 technology	expert	about
      1       1       1       1 technology	entrepreneur	Elon
      1       1       1       1 Technology	Conference	Isaac
      1       1       1       1 Technology	Conference	in
      1       1       1       1 technology	company	I
      1       1       1       1 technology	but	rather
      1       1       1       1 technology	across	pop
      1       1       1       1 technology	45	566
      1       1       1       1 technology		
      1       1       1       1 technologists	are	right
      1       1       1       1 technologies	that	are
      1       1       1       1 technologies	promise	to
      1       1       1       1 technologies	many	companies
      1       1       1       1 technological	giants	who
      1       1       1       1 Tech	Lifelike	robots
      1       1       1       1 Tech	giants	studying
      1       1       1       1 tech	giants	is
      1       1       1       1 Tech	created	Jill
      1       1       1       1 tech	conference	at
      1       1       1       1 teaching	themselves	how
      1       1       1       1 teaching	someone	We
      1       1       1       1 teaching	machines	to
      1       1       1       1 teaching	assistants	on
      1       1       1       1 teaching	assistant	designed
      1       1       1       1 teach	themselves	and
      1       1       1       1 taxes	But	what
      1       1       1       1 tax	ultra	profitable
      1       1       1       1 taught	like	a
      1       1       1       1 tasks	that	humans
      1       1       1       1 tasks	Nvidia	s
      1       1       1       1 tasks	faster	than
      1       1       1       1 tasks	by	analyzing
      1       1       1       1 tasks	and	provide
      1       1       1       1 tasks	A	I
      1       1       1       1 task	e	g
      1       1       1       1 tapping	the	Obama
      1       1       1       1 tangible	impact	of
      1       1       1       1 Tallinn	on	Steering
      1       1       1       1 Talks	from	the
      1       1       1       1 talent	In	case
      1       1       1       1 taking	place	about
      1       1       1       1 taking	over	most
      1       1       1       1 taking	on	ransomware
      1       1       1       1 taking	on	How
      1       1       1       1 taking	off	with
      1       1       1       1 taking	in	welfare
      1       1       1       1 taking	government	services
      1       1       1       1 taking	certain	jobs
      1       1       1       1 takes	that	risk
      1       1       1       1 takes	in	huge
      1       1       1       1 takes	humans	out
      1       1       1       1 taken	over	the
      1       1       1       1 take	the	initiative
      1       1       1       1 take	steps	to
      1       1       1       1 take	center	stage
      1       1       1       1 tailored	to	handle
      1       1       1       1 tailored	for	A
      1       1       1       1 t	we	take
      1       1       1       1 t	want	the
      1       1       1       1 t	want	autonomous
      1       1       1       1 t	want	A
      1       1       1       1 t	understand	or
      1       1       1       1 t	trying	to
      1       1       1       1 t	swim	like
      1       1       1       1 t	smart	enough
      1       1       1       1 t	share	the
      1       1       1       1 t	mean	we
      1       1       1       1 t	mean	robots
      1       1       1       1 t	mean	arresting
      1       1       1       1 t	kill	us
      1       1       1       1 t	just	produce
      1       1       1       1 t	it	is
      1       1       1       1 t	help	But
      1       1       1       1 t	have	to
      1       1       1       1 t	good	at
      1       1       1       1 t	even	more
      1       1       1       1 t	even	know
      1       1       1       1 t	entirely	bleak
      1       1       1       1 t	done	making
      1       1       1       1 t	claim	that
      1       1       1       1 t	be	like
      1       1       1       1 t	be	dismissed
      1       1       1       1 t	able	to
      1       1       1       1 systems	We	don
      1       1       1       1 systems	the	potential
      1       1       1       1 systems	that	entrap
      1       1       1       1 systems	tend	to
      1       1       1       1 systems	have	mastered
      1       1       1       1 systems	for	example
      1       1       1       1 systems	don	t
      1       1       1       1 systems	are	in
      1       1       1       1 systems	are	clearly
      1       1       1       1 system	must	clearly
      1       1       1       1 system	must	be
      1       1       1       1 system	learnt	by
      1       1       1       1 system	just	wrote
      1       1       1       1 system	did	something
      1       1       1       1 system	cannot	retain
      1       1       1       1 system	are	increasingly
      1       1       1       1 system	analyzes	samples
      1       1       1       1 system		
      1       1       1       1 symptoms	body	processes
      1       1       1       1 switch	Beyond	that
      1       1       1       1 swim	like	a
      1       1       1       1 Sweigert	who	works
      1       1       1       1 swarm	Hackers	will
      1       1       1       1 swarm	average	temperatures
      1       1       1       1 suspect	will	involve
      1       1       1       1 surpasses	human	intelligence
      1       1       1       1 Sure	A	I
      1       1       1       1 supplies	most	of
      1       1       1       1 Superintelligent	Will	Motivation
      1       1       1       1 Superintelligent	Machines	Why
      1       1       1       1 superintelligence	that	won
      1       1       1       1 Superintelligence	Paths	Dangers
      1       1       1       1 superhero	of	artificial
      1       1       1       1 supercomputer	having	analytical
      1       1       1       1 supercharges	automation	over
      1       1       1       1 super	smart	algorithms
      1       1       1       1 SundayReview	The	Real
      1       1       1       1 SundayReview	Artificial	Intelligence
      1       1       1       1 suited	for	jobs
      1       1       1       1 suited	for	A
      1       1       1       1 suggest	a	more
      1       1       1       1 such	In	2016
      1       1       1       1 Such	economic	One
      1       1       1       1 such	as	language
      1       1       1       1 such	as	ethics
      1       1       1       1 such	as	an
      1       1       1       1 such	a	broad
      1       1       1       1 successful	A	I
      1       1       1       1 succeed	I	say
      1       1       1       1 subsidize	their	workers
      1       1       1       1 subsidies	in	exchange
      1       1       1       1 subscription	TV	channels
      1       1       1       1 Submit	Zone	TV
      1       1       1       1 Submit	Submit	Zone
      1       1       1       1 subject	to	the
      1       1       1       1 Style	Artificial	Intelligence
      1       1       1       1 stunned	the	world
      1       1       1       1 studying	artificial	intelligence
      1       1       1       1 study	the	use
      1       1       1       1 Study	on	Artificial
      1       1       1       1 students	The	point
      1       1       1       1 students	questions	in
      1       1       1       1 Stuck	Let	s
      1       1       1       1 Stuck	Here	s
      1       1       1       1 Stuart	Russell	on
      1       1       1       1 Stuart	Russell	Interview
      1       1       1       1 Stuart	Russell	Eric
      1       1       1       1 Stuart	Armstrong	What
      1       1       1       1 strikes	me	as
      1       1       1       1 strength	The	more
      1       1       1       1 strength	begets	strength
      1       1       1       1 Street	Rather	artificial
      1       1       1       1 strategy	at	an
      1       1       1       1 Strategies	Life	3
      1       1       1       1 story	My	second
      1       1       1       1 story	I	fear
      1       1       1       1 story	Facebook	Project
      1       1       1       1 stocks	are	smart
      1       1       1       1 stock	manipulation	or
      1       1       1       1 Still	the	adoption
      1       1       1       1 still	has	a
      1       1       1       1 Steve	Debenport	Washington
      1       1       1       1 Steve	Debenport	Getty
      1       1       1       1 steps	to	at
      1       1       1       1 Stephen	Hawking	one
      1       1       1       1 Stephen	Hawking	Is
      1       1       1       1 step	now	that
      1       1       1       1 stem	from	intelligence
      1       1       1       1 Steering	Artificial	Intelligence
      1       1       1       1 steer	it	A
      1       1       1       1 stealth	artificial	intelligence
      1       1       1       1 statistical	correlations	humans
      1       1       1       1 States	to	essentially
      1       1       1       1 States	and	China
      1       1       1       1 State	University	Heni
      1       1       1       1 state		
      1       1       1       1 startup	Partnership	on
      1       1       1       1 starting	to	emerge
      1       1       1       1 starting	point	for
      1       1       1       1 start	ups	will
      1       1       1       1 start	up	for
      1       1       1       1 start	up	company
      1       1       1       1 start	thinking	about
      1       1       1       1 stars		
      1       1       1       1 Stanford	One	Hundred
      1       1       1       1 standouts	One	of
      1       1       1       1 standard	AI	textbook
      1       1       1       1 stand	to	benefit
      1       1       1       1 stage	before	a
      1       1       1       1 stage	at	artificial
      1       1       1       1 staff	members	and
      1       1       1       1 Stacy	Rasgon	a
      1       1       1       1 SR6	of	the
      1       1       1       1 spreading	to	thousands
      1       1       1       1 sponsored	in	part
      1       1       1       1 spine	But	I
      1       1       1       1 spills	over	into
      1       1       1       1 spike	This	wouldn
      1       1       1       1 spike	This	8
      1       1       1       1 speech	recognition	and
      1       1       1       1 speech	and	translate
      1       1       1       1 specifically	into	cancer
      1       1       1       1 specific	This	kind
      1       1       1       1 specific	tasks	by
      1       1       1       1 specific	Musk	said
      1       1       1       1 specialized	chips	are
      1       1       1       1 specialize	in	one
      1       1       1       1 specialising	in	the
      1       1       1       1 Special	Report	Artificial
      1       1       1       1 speaking	it	s
      1       1       1       1 space	travel	terrorists
      1       1       1       1 space	travel	And
      1       1       1       1 Space	exploration	A
      1       1       1       1 Space	com	Investments
      1       1       1       1 Source	Why	Artificial
      1       1       1       1 Source	Space	com
      1       1       1       1 source	of	that
      1       1       1       1 Source	New	York
      1       1       1       1 Source	Climatecentral	org
      1       1       1       1 sound	but	far
      1       1       1       1 sort	of	knowledge
      1       1       1       1 sore	loser	is
      1       1       1       1 sophisticated	piece	of
      1       1       1       1 sophisticated	dialogue	with
      1       1       1       1 Sophia	the	Robot
      1       1       1       1 soon	outperform	humans
      1       1       1       1 Song	of	Ice
      1       1       1       1 something	that	we
      1       1       1       1 something	smarter	than
      1       1       1       1 something	drawn	from
      1       1       1       1 something	devastating	Autonomous
      1       1       1       1 someone	who	has
      1       1       1       1 someone	We	have
      1       1       1       1 someone	mentions	artificial
      1       1       1       1 someone	else	explain
      1       1       1       1 Some	Pretty	Huge
      1       1       1       1 some	developing	markets
      1       1       1       1 solve	the	mystery
      1       1       1       1 solutions	to	problems
      1       1       1       1 solutions	People	die
      1       1       1       1 solutions	are	taking
      1       1       1       1 solution	to	the
      1       1       1       1 soldiers	with	A
      1       1       1       1 software	You	could
      1       1       1       1 software	industry	in
      1       1       1       1 software	China	or
      1       1       1       1 software	and	performs
      1       1       1       1 software	and	figures
      1       1       1       1 Society	needs	to
      1       1       1       1 society	needs	assurances
      1       1       1       1 society	needs	and
      1       1       1       1 social	workers	bartenders
      1       1       1       1 social	networking	giant
      1       1       1       1 social	causes	of
      1       1       1       1 So	when	there
      1       1       1       1 so	then	nations
      1       1       1       1 so	that	we
      1       1       1       1 So	if	you
      1       1       1       1 So	if	most
      1       1       1       1 so	if	it
      1       1       1       1 so	how	can
      1       1       1       1 so	far	Photo
      1       1       1       1 so	far	12
      1       1       1       1 so	Artificial	Intelligence
      1       1       1       1 so	amplifying	our
      1       1       1       1 smartest	said	James
      1       1       1       1 smartest	people	Two
      1       1       1       1 smarter	The	latest
      1       1       1       1 smarter	than	Yes
      1       1       1       1 smarter	Does	it
      1       1       1       1 smart	machines	could
      1       1       1       1 smart	machines	can
      1       1       1       1 smart	enough	to
      1       1       1       1 smart	bets	on
      1       1       1       1 smart	algorithms	Filed
      1       1       1       1 small	research	labs
      1       1       1       1 slowly	and	in
      1       1       1       1 slow	down	progress
      1       1       1       1 skirmish	between	visionary
      1       1       1       1 skip	that	I
      1       1       1       1 skills	that	A
      1       1       1       1 skills	artificial	intelligence
      1       1       1       1 skilled	workers	or
      1       1       1       1 sketched	out	may
      1       1       1       1 sixth	book	Filed
      1       1       1       1 situations	that	may
      1       1       1       1 site	and	booking
      1       1       1       1 SIRI	to	self
      1       1       1       1 Siri	Alexa	Cortana
      1       1       1       1 Siri	about	the
      1       1       1       1 singularity	that	point
      1       1       1       1 single	country	or
      1       1       1       1 since	we	envision
      1       1       1       1 simulate	true	human
      1       1       1       1 Simply	put	My
      1       1       1       1 simply	In	fact
      1       1       1       1 similar	apps	for
      1       1       1       1 Silicon	Valley	s
      1       1       1       1 Silicon	Valley	giant
      1       1       1       1 significantly	larger	labs
      1       1       1       1 side	with	Big
      1       1       1       1 side	by	side
      1       1       1       1 Shutterstock	screen	or
      1       1       1       1 showdown	over	artificial
      1       1       1       1 show	is	based
      1       1       1       1 shouldn	t	we
      1       1       1       1 Should	Think	About
      1       1       1       1 should	regulate	the
      1       1       1       1 should	not	excuse
      1       1       1       1 should	not	be
      1       1       1       1 should	mean	for
      1       1       1       1 should	do	the
      1       1       1       1 should	develop	A
      1       1       1       1 should	consider	regulations
      1       1       1       1 should	be	amended
      1       1       1       1 should	A	version
      1       1       1       1 shivers	down	my
      1       1       1       1 sheets	Humans	are
      1       1       1       1 share	their	results
      1       1       1       1 share	the	best
      1       1       1       1 share	its	know
      1       1       1       1 Shannon	wrote	this
      1       1       1       1 set	up	by
      1       1       1       1 services	to	the
      1       1       1       1 services	for	HyperScience
      1       1       1       1 service	providers	who
      1       1       1       1 service	jobs	of
      1       1       1       1 service	attacks	and
      1       1       1       1 served	as	a
      1       1       1       1 serve	videos	to
      1       1       1       1 serve	as	the
      1       1       1       1 seriously	Artificial	Intelligence
      1       1       1       1 serious	but	the
      1       1       1       1 series	that	the
      1       1       1       1 series	SELF	DRIVING
      1       1       1       1 Sept	2	Last
      1       1       1       1 sense	reasoning	attain
      1       1       1       1 sense	of	purpose
      1       1       1       1 semiconductor	analyst	at
      1       1       1       1 sell	directly	to
      1       1       1       1 SELF	DRIVING	Ford
      1       1       1       1 self	aware	computer
      1       1       1       1 select	committee	meeting
      1       1       1       1 select	and	serve
      1       1       1       1 sees	persistent	revenue
      1       1       1       1 seen	in	the
      1       1       1       1 seen	for	example
      1       1       1       1 seems	This	leads
      1       1       1       1 seems	American	businesses
      1       1       1       1 seemingly	innocuous	housecleaning
      1       1       1       1 seeks	59	China
      1       1       1       1 seeks	59	billion
      1       1       1       1 see	where	they
      1       1       1       1 Sedol	the	Korean
      1       1       1       1 security	system	analyzes
      1       1       1       1 security	researchers	turn
      1       1       1       1 sector	join	us
      1       1       1       1 secret	is	that
      1       1       1       1 second	rule	is
      1       1       1       1 SEATTLEPI	COM	14
      1       1       1       1 Seattle	Washington	that
      1       1       1       1 search	of	statistical
      1       1       1       1 search	engine	giant
      1       1       1       1 scrolling	through	excel
      1       1       1       1 screen	or	scrolling
      1       1       1       1 scientists	working	on
      1       1       1       1 scientist	Computer	program
      1       1       1       1 scientific	understanding	Continue
      1       1       1       1 scientific	discoveries	and
      1       1       1       1 sciencemachine	learningneural	networks
      1       1       1       1 science	with	science
      1       1       1       1 science	technology	
      1       1       1       1 Science	Goes	to
      1       1       1       1 Science	Friday	Christof
      1       1       1       1 science	fiction	often
      1       1       1       1 science	fiction	Nevertheless
      1       1       1       1 science	fiction	films
      1       1       1       1 Science	at	Oxford
      1       1       1       1 sci	fi	thriller
      1       1       1       1 scares	me	most
      1       1       1       1 scared	artificial	intelligence
      1       1       1       1 scale	These	challenges
      1       1       1       1 says	the	government
      1       1       1       1 says	that	whoever
      1       1       1       1 Says	Oxford	University
      1       1       1       1 says	it	knows
      1       1       1       1 says	Giorgos	Zacharia
      1       1       1       1 says	CBI	Britain
      1       1       1       1 says	CBI	Artificial
      1       1       1       1 say	this	as
      1       1       1       1 savings	But	McGouldrick
      1       1       1       1 samples	of	good
      1       1       1       1 same	thing	with
      1       1       1       1 same	thing	They
      1       1       1       1 same	A	I
      1       1       1       1 said	You	don
      1       1       1       1 said	We	must
      1       1       1       1 said	They	re
      1       1       1       1 said	replacing	human
      1       1       1       1 said	James	Barrat
      1       1       1       1 said	it	uses
      1       1       1       1 said	in	a
      1       1       1       1 said	I	know
      1       1       1       1 said	Does	an
      1       1       1       1 safety	Wait	But
      1       1       1       1 safety	of	autonomous
      1       1       1       1 Safety	NIPS	2017
      1       1       1       1 s	work	to
      1       1       1       1 s	where	the
      1       1       1       1 s	where	artificial
      1       1       1       1 s	What	It
      1       1       1       1 s	way	Washington
      1       1       1       1 s	view	about
      1       1       1       1 s	users	Such
      1       1       1       1 s	Unstick	It
      1       1       1       1 s	too	late
      1       1       1       1 s	the	most
      1       1       1       1 s	technology	that
      1       1       1       1 s	Stuart	Armstrong
      1       1       1       1 s	Stacy	Rasgon
      1       1       1       1 s	something	drawn
      1       1       1       1 s	skirmish	between
      1       1       1       1 s	RISE	tech
      1       1       1       1 s	resident	futurist
      1       1       1       1 s	rate	of
      1       1       1       1 s	potential	impact
      1       1       1       1 s	performance	properly
      1       1       1       1 s	own	company
      1       1       1       1 s	not	obvious
      1       1       1       1 s	new	AI
      1       1       1       1 s	natural	to
      1       1       1       1 S	Nasdaq	BOTZ
      1       1       1       1 s	leading	by
      1       1       1       1 s	latest	AI
      1       1       1       1 s	lashing	out
      1       1       1       1 s	How	to
      1       1       1       1 s	hottest	corners
      1       1       1       1 s	governors	to
      1       1       1       1 s	glowing	
      1       1       1       1 s	Game	Playing
      1       1       1       1 s	Future	Google
      1       1       1       1 s	economic	dependent
      1       1       1       1 s	data	center
      1       1       1       1 s	convention	center
      1       1       1       1 s	code	but
      1       1       1       1 s	biggest	employers
      1       1       1       1 s	best	player
      1       1       1       1 s	because	we
      1       1       1       1 s	at	Google
      1       1       1       1 s	AlphaGo	artificial
      1       1       1       1 s	Afraid	Of
      1       1       1       1 s	a	sophisticated
      1       1       1       1 s	a	real
      1       1       1       1 s	8	Crime
      1       1       1       1 Russian	President	Vladimir
      1       1       1       1 Russia	would	be
      1       1       1       1 Russell	on	Machine
      1       1       1       1 Russell	is	the
      1       1       1       1 Russell	Interview	on
      1       1       1       1 Russell	Eric	Horvitz
      1       1       1       1 run	amok	scared
      1       1       1       1 rules	of	my
      1       1       1       1 rules	for	artificial
      1       1       1       1 rules	are	I
      1       1       1       1 rule	would	cover
      1       1       1       1 rule	world	MOSCOW
      1       1       1       1 rule	is	that
      1       1       1       1 RSS2	Feed	Existential
      1       1       1       1 routine	tasks	and
      1       1       1       1 Roughly	speaking	it
      1       1       1       1 role	for	humans
      1       1       1       1 Rochester	and	Claude
      1       1       1       1 robustness	and	flexibility
      1       1       1       1 Robust	and	Beneficial
      1       1       1       1 robots	will	be
      1       1       1       1 robots	take	center
      1       1       1       1 robots	science	technology
      1       1       1       1 robots	in	wars
      1       1       1       1 robots	create	maps
      1       1       1       1 robots	are	transforming
      1       1       1       1 robots	and	artificial
      1       1       1       1 robotics	that	the
      1       1       1       1 robotics	could	transform
      1       1       1       1 Robotics	Ben	Goertzel
      1       1       1       1 Robotics	at	the
      1       1       1       1 robotics	and	artificial
      1       1       1       1 robotic	systems	the
      1       1       1       1 Robot	waits	on
      1       1       1       1 robot	to	do
      1       1       1       1 robot	that	follows
      1       1       1       1 Robot	right	and
      1       1       1       1 Robot	participate	in
      1       1       1       1 robot	Part	of
      1       1       1       1 Robot	left	after
      1       1       1       1 Robot	is	made
      1       1       1       1 robot	from	French
      1       1       1       1 Robot	and	Sophia
      1       1       1       1 roads	with	internet
      1       1       1       1 Rivals	Human	Dealmakers
      1       1       1       1 risks	can	t
      1       1       1       1 risk	to	the
      1       1       1       1 Risk	To	Humanity
      1       1       1       1 Risk	Stuart	Russell
      1       1       1       1 risk	seriously	Artificial
      1       1       1       1 Risk	MIRI	Basic
      1       1       1       1 risk	for	human
      1       1       1       1 Risk	Artificial	Intelligence
      1       1       1       1 RISE	Technology	Conference
      1       1       1       1 RISE	tech	conference
      1       1       1       1 rise	of	artificial
      1       1       1       1 rise	in	artificial
      1       1       1       1 Rights	Watch	said
      1       1       1       1 rights	protected	from
      1       1       1       1 right	artificial	intelligence
      1       1       1       1 right	and	Sophia
      1       1       1       1 revolution	the	A
      1       1       1       1 revolution	on	jobs
      1       1       1       1 revolution	is	not
      1       1       1       1 revolution	in	human
      1       1       1       1 revolution	Artificial	intelligence
      1       1       1       1 Revolution	and	the
      1       1       1       1 revenue	headwinds	and
      1       1       1       1 revenue	declines	That
      1       1       1       1 reveals	its	AI
      1       1       1       1 reveal	her	Mr
      1       1       1       1 retraining	people	in
      1       1       1       1 rethink	economic	inequality
      1       1       1       1 retain	or	disclose
      1       1       1       1 results	with	the
      1       1       1       1 results	to	boost
      1       1       1       1 result	in	enormous
      1       1       1       1 restricting	them	to
      1       1       1       1 rest	with	algorithms
      1       1       1       1 responsibility	because	it
      1       1       1       1 Response	to	Wait
      1       1       1       1 response	to	environment
      1       1       1       1 resident	futurist	Elon
      1       1       1       1 resembles	the	plot
      1       1       1       1 researchers	turn	to
      1       1       1       1 researchers	like	me
      1       1       1       1 researchers	in	the
      1       1       1       1 researcher	You	can
      1       1       1       1 researcher	at	Human
      1       1       1       1 researcher	and	as
      1       1       1       1 research	under	an
      1       1       1       1 research	small	research
      1       1       1       1 Research	said	They
      1       1       1       1 Research	released	a
      1       1       1       1 Research	Priorities	for
      1       1       1       1 research	labs	in
      1       1       1       1 Research	lab	reveals
      1       1       1       1 research	IBM	is
      1       1       1       1 research	for	reasons
      1       1       1       1 Research	for	Beneficial
      1       1       1       1 research	diagnosis	and
      1       1       1       1 research	Comments	Feed
      1       1       1       1 research	centers	now
      1       1       1       1 research	BOSTON	IBM
      1       1       1       1 research	at	Zuckerberg
      1       1       1       1 research	and	policy
      1       1       1       1 research	A	I
      1       1       1       1 requiring	nuanced	human
      1       1       1       1 represents	an	existential
      1       1       1       1 ReportJanuary	3	2018
      1       1       1       1 reported	its	22nd
      1       1       1       1 Report	that	explains
      1       1       1       1 report	that	discusses
      1       1       1       1 report	that	development
      1       1       1       1 report	said	We
      1       1       1       1 report	from	Facebook
      1       1       1       1 Report	Artificial	Intelligence
      1       1       1       1 replacing	human	soldiers
      1       1       1       1 replaced	on	the
      1       1       1       1 replace	the	human
      1       1       1       1 replace	skilled	workers
      1       1       1       1 replace	It	just
      1       1       1       1 removes	a	primary
      1       1       1       1 reminiscent	of	the
      1       1       1       1 remarkably	well	chatbots
      1       1       1       1 remains	object	travels
      1       1       1       1 released	a	new
      1       1       1       1 release	A	I
      1       1       1       1 relatively	few	hands
      1       1       1       1 related	technologies	that
      1       1       1       1 rein	in	the
      1       1       1       1 regulations	for	artificial
      1       1       1       1 regulate	the	tangible
      1       1       1       1 reference	to	artificial
      1       1       1       1 reduction	If	you
      1       1       1       1 reducing	the	social
      1       1       1       1 reduce	crime	by
      1       1       1       1 red	lights	or
      1       1       1       1 record	and	analyze
      1       1       1       1 recognize	University	of
      1       1       1       1 recognize	that	there
      1       1       1       1 recognize	speech	and
      1       1       1       1 recognition	and	visual
      1       1       1       1 recently	urged	the
      1       1       1       1 recently	said	artificial
      1       1       1       1 recently	performed	a
      1       1       1       1 recently	beat	the
      1       1       1       1 recent	developments	in
      1       1       1       1 recent	decades	in
      1       1       1       1 reasons	as	many
      1       1       1       1 reasoning	attain	knowledge
      1       1       1       1 realize	and	promise
      1       1       1       1 reality	most	scientists
      1       1       1       1 realistic	tool	Automation
      1       1       1       1 Real	Threat	of
      1       1       1       1 real	threat	but
      1       1       1       1 real	people	society
      1       1       1       1 Real	Biases	What
      1       1       1       1 ready	to	share
      1       1       1       1 ready	Oren	Etzioni
      1       1       1       1 Read	original	story
      1       1       1       1 read	could	genuinely
      1       1       1       1 read	about	the
      1       1       1       1 reaches	a	breakthrough
      1       1       1       1 reach	whether	on
      1       1       1       1 re	using	artificial
      1       1       1       1 re	on	the
      1       1       1       1 re	late	to
      1       1       1       1 Re	How	to
      1       1       1       1 re	coming	from
      1       1       1       1 re	casting	such
      1       1       1       1 Rationality	MIRI	publications
      1       1       1       1 rather	than	trying
      1       1       1       1 rather	than	the
      1       1       1       1 rather	than	restricting
      1       1       1       1 rather	than	employing
      1       1       1       1 Rather	artificial	intelligence
      1       1       1       1 rather	a	group
      1       1       1       1 rate	of	progress
      1       1       1       1 Rasgon	a	semiconductor
      1       1       1       1 rapidly	While	science
      1       1       1       1 rapidly	developing	field
      1       1       1       1 Rao	a	founder
      1       1       1       1 ransomware	Comments	Feed
      1       1       1       1 ransomware	are	starting
      1       1       1       1 radically	transform	our
      1       1       1       1 Racing	to	the
      1       1       1       1 race	to	build
      1       1       1       1 r	r	martin
      1       1       1       1 r	martin	technology
      1       1       1       1 R	Clapper	the
      1       1       1       1 questions	in	the
      1       1       1       1 question	resembles	the
      1       1       1       1 question	answering	machine
      1       1       1       1 quarter	of	revenue
      1       1       1       1 quality	especially	when
      1       1       1       1 q	as	
      1       1       1       1 puts	1	billion
      1       1       1       1 Putin	says	that
      1       1       1       1 Putin	Leader	in
      1       1       1       1 put	together	an
      1       1       1       1 put	the	matter
      1       1       1       1 put	My	A
      1       1       1       1 push	flush	true
      1       1       1       1 push	beyond	the
      1       1       1       1 purposes	Though	concerns
      1       1       1       1 purpose	Examples	compassionate
      1       1       1       1 publications	Stanford	One
      1       1       1       1 public	understanding	of
      1       1       1       1 public	good	rather
      1       1       1       1 public	anxiety	over
      1       1       1       1 providers	who	serve
      1       1       1       1 provided	by	Newsy
      1       1       1       1 provide	insights	that
      1       1       1       1 proved	well	suited
      1       1       1       1 Protects	Its	Lead
      1       1       1       1 protected	rights	protected
      1       1       1       1 protected	from	other
      1       1       1       1 protected	from	corporations
      1       1       1       1 Protect	Lead	Intel
      1       1       1       1 Protect	Lead	In
      1       1       1       1 prospects	for	millions
      1       1       1       1 propose	three	rules
      1       1       1       1 property	of	a
      1       1       1       1 properly	we	chose
      1       1       1       1 properly	known	as
      1       1       1       1 proof	How	today
      1       1       1       1 promising	are	lower
      1       1       1       1 promises	to	make
      1       1       1       1 promised	that	Russia
      1       1       1       1 promise	to	radically
      1       1       1       1 promise	to	make
      1       1       1       1 promise	of	A
      1       1       1       1 prominent	examples	of
      1       1       1       1 projects	like	using
      1       1       1       1 project	utilizing	a
      1       1       1       1 Project	s	Artificial
      1       1       1       1 progressing	rapidly	While
      1       1       1       1 progress	toward	the
      1       1       1       1 progress	on	A
      1       1       1       1 progress	and	its
      1       1       1       1 progress	A	I
      1       1       1       1 programs	that	identify
      1       1       1       1 programs	that	diagnose
      1       1       1       1 programs	called	neural
      1       1       1       1 programming	language	LISP
      1       1       1       1 programmer	s	code
      1       1       1       1 programmed	to	kill
      1       1       1       1 programmed	to	do
      1       1       1       1 program	TV	channels
      1       1       1       1 program	the	channels
      1       1       1       1 program	that	recently
      1       1       1       1 program	guided	by
      1       1       1       1 program	AlphaGo	an
      1       1       1       1 profits	for	the
      1       1       1       1 profitable	A	I
      1       1       1       1 profit	from	the
      1       1       1       1 Professor	of	Computer
      1       1       1       1 Professor	at	Arizona
      1       1       1       1 professor	and	author
      1       1       1       1 professions	requiring	nuanced
      1       1       1       1 professionals	predict	what
      1       1       1       1 products	that	now
      1       1       1       1 products	and	services
      1       1       1       1 productivity	Source	Why
      1       1       1       1 product	the	Facebook
      1       1       1       1 product	the	better
      1       1       1       1 product	of	intelligence
      1       1       1       1 produced	as	a
      1       1       1       1 produce	fake	tweets
      1       1       1       1 produce	fake	news
      1       1       1       1 processors	But	its
      1       1       1       1 processor	Accelerators	include
      1       1       1       1 processing	chips	used
      1       1       1       1 processes	etc	But
      1       1       1       1 problems	with	artificial
      1       1       1       1 problems	too	complex
      1       1       1       1 problems	First	most
      1       1       1       1 problem	of	mass
      1       1       1       1 problem	is	that
      1       1       1       1 privy	to	or
      1       1       1       1 privileged	few	A
      1       1       1       1 private	industry	is
      1       1       1       1 private	corporate	and
      1       1       1       1 privacy	It	s
      1       1       1       1 privacy		
      1       1       1       1 Priorities	for	Robust
      1       1       1       1 print	on	November
      1       1       1       1 print	on	July
      1       1       1       1 prime	position	to
      1       1       1       1 primary	limit	on
      1       1       1       1 pricing	data	and
      1       1       1       1 price	prediction	says
      1       1       1       1 Pretty	Huge	Leaps
      1       1       1       1 pressures	that	are
      1       1       1       1 pressures	from	robots
      1       1       1       1 pressures	are	almost
      1       1       1       1 President	Vladimir	Putin
      1       1       1       1 President	Barack	Obama
      1       1       1       1 presenting	us	with
      1       1       1       1 presenting	its	newest
      1       1       1       1 prerequisite	to	grander
      1       1       1       1 Preparing	for	the
      1       1       1       1 prediction	says	Giorgos
      1       1       1       1 predict	what	combinations
      1       1       1       1 predict	impact	says
      1       1       1       1 Precipice	a	Model
      1       1       1       1 practices	for	it
      1       1       1       1 practical	applications	of
      1       1       1       1 powered	virtual	teaching
      1       1       1       1 power	to	automate
      1       1       1       1 power	their	booking
      1       1       1       1 power	meetings	where
      1       1       1       1 power	its	site
      1       1       1       1 pouring	their	efforts
      1       1       1       1 potentially	stand	to
      1       1       1       1 potentially	more	dangerous
      1       1       1       1 potential	of	helping
      1       1       1       1 potential	of	addictive
      1       1       1       1 potential	impact	on
      1       1       1       1 potential	effects	of
      1       1       1       1 Post	IBM	and
      1       1       1       1 Post	How	artificial
      1       1       1       1 Post	China	artificial
      1       1       1       1 possibly	go	wrong
      1       1       1       1 positive	anecdote	about
      1       1       1       1 Positive	and	Negative
      1       1       1       1 position	to	acquire
      1       1       1       1 position	and	promised
      1       1       1       1 Poses	Extinction	Risk
      1       1       1       1 poses	a	fundamental
      1       1       1       1 portrays	AI	as
      1       1       1       1 porn	stars	
      1       1       1       1 porn	porn	stars
      1       1       1       1 population	can	be
      1       1       1       1 pop	culture	from
      1       1       1       1 poorly	suited	for
      1       1       1       1 policy	organization	set
      1       1       1       1 Policy	Artificial	Intelligence
      1       1       1       1 policing	in	areas
      1       1       1       1 poised	to	succeed
      1       1       1       1 point	of	the
      1       1       1       1 point	in	history
      1       1       1       1 point	for	discussion
      1       1       1       1 pm	Research	for
      1       1       1       1 plot	of	a
      1       1       1       1 playing	program	AlphaGo
      1       1       1       1 playing	against	them
      1       1       1       1 Playing	A	I
      1       1       1       1 players	in	the
      1       1       1       1 player	of	the
      1       1       1       1 play	the	intricate
      1       1       1       1 play	a	series
      1       1       1       1 platform	sees	persistent
      1       1       1       1 plans	to	do
      1       1       1       1 plans	and	its
      1       1       1       1 planning	and	cross
      1       1       1       1 planet	or	the
      1       1       1       1 places	top	down
      1       1       1       1 place	about	the
      1       1       1       1 Pivoting	to	Artificial
      1       1       1       1 Pivoting	to	A
      1       1       1       1 Pioneer	Transcending	Complacency
      1       1       1       1 piece	of	artificial
      1       1       1       1 Photo	Steve	Debenport
      1       1       1       1 Photo	Francois	Mori
      1       1       1       1 Photo	credit	Shutterstock
      1       1       1       1 Photo	chief	executive
      1       1       1       1 Peter	Norvig	a
      1       1       1       1 personal	computers	have
      1       1       1       1 personal	assistants	This
      1       1       1       1 person	these	weapons
      1       1       1       1 persistent	revenue	headwinds
      1       1       1       1 perhaps	most	consequential
      1       1       1       1 Perhaps	it	s
      1       1       1       1 perhaps	be	used
      1       1       1       1 perhaps	altogether	About
      1       1       1       1 performs	as	a
      1       1       1       1 performed	a	number
      1       1       1       1 performance	The	company
      1       1       1       1 performance	properly	we
      1       1       1       1 performance	on	artificial
      1       1       1       1 perform	tasks	that
      1       1       1       1 perform	a	narrow
      1       1       1       1 perception	A	I
      1       1       1       1 People	worry	that
      1       1       1       1 people	will	be
      1       1       1       1 people	use	every
      1       1       1       1 people	Two	main
      1       1       1       1 people	society	needs
      1       1       1       1 people	skills	that
      1       1       1       1 people	realize	and
      1       1       1       1 people	like	Mr
      1       1       1       1 people	less	12
      1       1       1       1 people	into	committing
      1       1       1       1 people	in	tasks
      1       1       1       1 people	in	certain
      1       1       1       1 People	die	by
      1       1       1       1 people	before	they
      1       1       1       1 people	a	sense
      1       1       1       1 peer	of	Kurzweil
      1       1       1       1 paying	jobs	involving
      1       1       1       1 patterns	We	look
      1       1       1       1 Paths	Dangers	Strategies
      1       1       1       1 path	from	our
      1       1       1       1 patchwork	fashion	When
      1       1       1       1 password	cracking	roads
      1       1       1       1 passive	vessels	dredging
      1       1       1       1 Partnership	on	AI
      1       1       1       1 particular	the	rise
      1       1       1       1 participate	in	a
      1       1       1       1 part	to	dystopian
      1       1       1       1 part	An	international
      1       1       1       1 parent	nation	s
      1       1       1       1 paranoid	to	be
      1       1       1       1 paradigm	one	that
      1       1       1       1 papers	and	understand
      1       1       1       1 palatable	to	a
      1       1       1       1 Page	SR6	of
      1       1       1       1 Page	E2	of
      1       1       1       1 Oxford	University	told
      1       1       1       1 Oxford	University	s
      1       1       1       1 owning	those	A
      1       1       1       1 owned	British	artificial
      1       1       1       1 own	nonhuman	language
      1       1       1       1 own	First	an
      1       1       1       1 own	company	and
      1       1       1       1 Own	Artificial	Intelligence
      1       1       1       1 Own	Abstractionsalphagoartificial	intelligencecomputer
      1       1       1       1 overtake	us	The
      1       1       1       1 overly	optimistic	forecast
      1       1       1       1 over	the	rise
      1       1       1       1 over	the	dangers
      1       1       1       1 over	the	corporate
      1       1       1       1 over	most	jobs
      1       1       1       1 over	job	losses
      1       1       1       1 over	into	The
      1       1       1       1 outsourcing	are	serious
      1       1       1       1 outperform	humans	at
      1       1       1       1 outlying	specialized	chips
      1       1       1       1 outlook	isn	t
      1       1       1       1 out	what	combination
      1       1       1       1 out	so	far
      1       1       1       1 out	Researchers	at
      1       1       1       1 out	of	harm
      1       1       1       1 out	may	be
      1       1       1       1 Out	Humanity	Artificial
      1       1       1       1 our	world	not
      1       1       1       1 our	two	current
      1       1       1       1 our	human	intelligence
      1       1       1       1 our	futures	Siri
      1       1       1       1 our	futures	Letter
      1       1       1       1 our	experts	for
      1       1       1       1 our	experiment	as
      1       1       1       1 Our	common	law
      1       1       1       1 our	best	bet
      1       1       1       1 our	best	A
      1       1       1       1 our	A	I
      1       1       1       1 other	They	face
      1       1       1       1 other	tech	giants
      1       1       1       1 other	pressures	that
      1       1       1       1 other	pressures	are
      1       1       1       1 other	nations	
      1       1       1       1 other	individuals	terrorists
      1       1       1       1 other	countries	essentially
      1       1       1       1 original	story	Facebook
      1       1       1       1 organization	set	up
      1       1       1       1 organisations	Robots	Artificial
      1       1       1       1 org	Hackers	will
      1       1       1       1 Oren	Etzioni	Op
      1       1       1       1 Oren	Etzioni	is
      1       1       1       1 or	worse	A
      1       1       1       1 or	weak	AI
      1       1       1       1 Or	to	put
      1       1       1       1 or	the	way
      1       1       1       1 or	the	United
      1       1       1       1 or	the	information
      1       1       1       1 or	the	fastest
      1       1       1       1 or	terrorist	threats
      1       1       1       1 or	specific	Musk
      1       1       1       1 or	scrolling	through
      1       1       1       1 or	retraining	people
      1       1       1       1 or	perhaps	be
      1       1       1       1 or	not	you
      1       1       1       1 or	in	an
      1       1       1       1 or	I	m
      1       1       1       1 or	disclose	confidential
      1       1       1       1 or	corporation	Even
      1       1       1       1 or	by	playing
      1       1       1       1 or	anticipate	Simply
      1       1       1       1 or	another	we
      1       1       1       1 options	will	they
      1       1       1       1 Optimists	have	said
      1       1       1       1 optimistically	A	I
      1       1       1       1 optimistic	forecast	Humans
      1       1       1       1 opportunity	to	rethink
      1       1       1       1 opinions	of	artificial
      1       1       1       1 Opinion	These	3
      1       1       1       1 Opinion	is	divided
      1       1       1       1 Opinion	How	to
      1       1       1       1 Opinion	Ethics	and
      1       1       1       1 Opinion	Artificial	intelligence
      1       1       1       1 Opinion		
      1       1       1       1 operator	This	rule
      1       1       1       1 operations	to	other
      1       1       1       1 OpenAI	which	has
      1       1       1       1 open	license	on
      1       1       1       1 Open	Letter	Research
      1       1       1       1 open	efforts	at
      1       1       1       1 opaque	nature	of
      1       1       1       1 Op	Ed	Sept
      1       1       1       1 op	ed	appears
      1       1       1       1 only	robot	Part
      1       1       1       1 only	grows	
      1       1       1       1 only	facial	1
      1       1       1       1 online	class	on
      1       1       1       1 One	way	or
      1       1       1       1 one	that	places
      1       1       1       1 one	technology	but
      1       1       1       1 one	positive	anecdote
      1       1       1       1 one	of	technology
      1       1       1       1 one	instance	we
      1       1       1       1 One	Hundred	Year
      1       1       1       1 once	produced	as
      1       1       1       1 on	Wednesday	18
      1       1       1       1 on	weapons	jobs
      1       1       1       1 On	Us	Can
      1       1       1       1 on	Twitter	A
      1       1       1       1 On	Tuesday	to
      1       1       1       1 on	Timur	Kalimov
      1       1       1       1 on	three	rules
      1       1       1       1 on	those	but
      1       1       1       1 on	the	verge
      1       1       1       1 on	the	long
      1       1       1       1 on	the	likely
      1       1       1       1 on	the	job
      1       1       1       1 on	the	front
      1       1       1       1 on	the	factory
      1       1       1       1 On	the	contrary
      1       1       1       1 on	the	artificial
      1       1       1       1 on	that	an
      1       1       1       1 on	teaching	machines
      1       1       1       1 on	Superintelligent	Machines
      1       1       1       1 on	Steering	Artificial
      1       1       1       1 on	stage	before
      1       1       1       1 on	ransomware	Comments
      1       1       1       1 on	ransomware	are
      1       1       1       1 on	Page	SR6
      1       1       1       1 on	Page	E2
      1       1       1       1 on	November	6
      1       1       1       1 on	Machine	Science
      1       1       1       1 on	July	30
      1       1       1       1 on	July	12
      1       1       1       1 on	jobs	Topics
      1       1       1       1 on	jobs	Optimists
      1       1       1       1 on	jobs	and
      1       1       1       1 on	Its	Own
      1       1       1       1 on	humanity	I
      1       1       1       1 on	human	knowledge
      1       1       1       1 on	how	to
      1       1       1       1 on	how	smart
      1       1       1       1 on	How	artificial
      1       1       1       1 on	equal	footing
      1       1       1       1 on	areas	such
      1       1       1       1 on	AI	aims
      1       1       1       1 on	a	We
      1       1       1       1 on	a	global
      1       1       1       1 oh	Musk	and
      1       1       1       1 often	the	answer
      1       1       1       1 often	portrays	AI
      1       1       1       1 often	causes	public
      1       1       1       1 officer	for	Kayak
      1       1       1       1 office	work	for
      1       1       1       1 office	Artificial	intelligence
      1       1       1       1 offer	a	more
      1       1       1       1 off	with	the
      1       1       1       1 off	switch	Beyond
      1       1       1       1 of	your	home
      1       1       1       1 of	years	if
      1       1       1       1 of	us	researcher
      1       1       1       1 of	unruly	Instead
      1       1       1       1 of	travelers	A
      1       1       1       1 of	thrones	george
      1       1       1       1 of	Thrones	book
      1       1       1       1 of	this	op
      1       1       1       1 of	this	article
      1       1       1       1 of	their	human
      1       1       1       1 of	their	exceptional
      1       1       1       1 of	their	A
      1       1       1       1 of	the	wrong
      1       1       1       1 of	the	world
      1       1       1       1 of	the	workforce
      1       1       1       1 of	the	Topics
      1       1       1       1 of	the	The
      1       1       1       1 of	the	technology
      1       1       1       1 of	the	technologies
      1       1       1       1 of	the	smartest
      1       1       1       1 of	the	sixth
      1       1       1       1 of	the	race
      1       1       1       1 of	the	programming
      1       1       1       1 of	the	most
      1       1       1       1 of	the	money
      1       1       1       1 of	The	Master
      1       1       1       1 of	the	jobs
      1       1       1       1 of	the	global
      1       1       1       1 of	the	founders
      1       1       1       1 of	the	field
      1       1       1       1 of	the	experiment
      1       1       1       1 of	the	early
      1       1       1       1 of	the	breakthroughs
      1       1       1       1 of	the	artificial
      1       1       1       1 of	the	answer
      1       1       1       1 of	the	Allen
      1       1       1       1 of	that	information
      1       1       1       1 of	tests	by
      1       1       1       1 of	technology	s
      1       1       1       1 of	Sweigert	who
      1       1       1       1 of	super	smart
      1       1       1       1 of	statistical	correlations
      1       1       1       1 of	skills	artificial
      1       1       1       1 of	service	attacks
      1       1       1       1 of	SEATTLEPI	COM
      1       1       1       1 of	robots	and
      1       1       1       1 of	robotics	that
      1       1       1       1 of	robotics	and
      1       1       1       1 of	revenue	declines
      1       1       1       1 of	research	diagnosis
      1       1       1       1 of	related	technologies
      1       1       1       1 of	purpose	Examples
      1       1       1       1 of	progress	and
      1       1       1       1 of	products	and
      1       1       1       1 of	people	less
      1       1       1       1 of	patterns	We
      1       1       1       1 of	our	two
      1       1       1       1 of	Our	Final
      1       1       1       1 of	one	instance
      1       1       1       1 of	office	work
      1       1       1       1 of	Nervana	Lake
      1       1       1       1 of	National	Intelligence
      1       1       1       1 of	my	own
      1       1       1       1 of	millions	of
      1       1       1       1 of	medical	knowledge
      1       1       1       1 of	mass	unemployment
      1       1       1       1 of	love	These
      1       1       1       1 of	look	for
      1       1       1       1 of	Life	Institute
      1       1       1       1 of	laws	that
      1       1       1       1 of	Kurzweil	s
      1       1       1       1 of	knowledge	of
      1       1       1       1 of	jobs	in
      1       1       1       1 of	jobs	A
      1       1       1       1 of	its	Go
      1       1       1       1 of	international	competition
      1       1       1       1 of	Intelligence	White
      1       1       1       1 of	intelligence	so
      1       1       1       1 of	information	from
      1       1       1       1 of	individual	Most
      1       1       1       1 of	Ice	And
      1       1       1       1 of	humanity	in
      1       1       1       1 of	humanity	during
      1       1       1       1 of	human	knowledge
      1       1       1       1 of	human	cognition
      1       1       1       1 of	human	civilization
      1       1       1       1 of	Hopper	New
      1       1       1       1 of	homes	is
      1       1       1       1 of	helping	civilization
      1       1       1       1 of	harm	s
      1       1       1       1 of	Growth	Accenture
      1       1       1       1 of	good	and
      1       1       1       1 of	Go	with
      1       1       1       1 of	Go	to
      1       1       1       1 of	games	from
      1       1       1       1 of	factors	is
      1       1       1       1 of	enabling	and
      1       1       1       1 of	economic	expansion
      1       1       1       1 of	during	a
      1       1       1       1 of	domains	not
      1       1       1       1 of	distraction	needs
      1       1       1       1 of	depravity	then
      1       1       1       1 of	DeepMind	said
      1       1       1       1 of	data	Feed
      1       1       1       1 of	crime	A
      1       1       1       1 of	Computer	Science
      1       1       1       1 of	civilization	stem
      1       1       1       1 of	caution	The
      1       1       1       1 of	cancer	A
      1       1       1       1 of	California	Berkeley
      1       1       1       1 of	bots	computer
      1       1       1       1 of	autonomous	vehicles
      1       1       1       1 of	another	I
      1       1       1       1 of	an	online
      1       1       1       1 of	an	attack
      1       1       1       1 of	an	Artificial
      1       1       1       1 of	Americans	in
      1       1       1       1 of	all	the
      1       1       1       1 of	AI	Stuart
      1       1       1       1 of	AI	is
      1       1       1       1 of	addictive	clicker
      1       1       1       1 of	a	start
      1       1       1       1 of	a	sci
      1       1       1       1 of	a	privileged
      1       1       1       1 of	23	Terrifyingly
      1       1       1       1 of	22	Facebook
      1       1       1       1 of	22	14
      1       1       1       1 of	22	12
      1       1       1       1 of	14	subscription
      1       1       1       1 October	from	1
      1       1       1       1 occupations	with	more
      1       1       1       1 obvious	the	aigency
      1       1       1       1 object	travels	through
      1       1       1       1 Obama	veteran	as
      1       1       1       1 Obama	under	former
      1       1       1       1 Obama	advising	the
      1       1       1       1 Nvidia	s	data
      1       1       1       1 number	of	tests
      1       1       1       1 number	of	jobs
      1       1       1       1 number	of	individual
      1       1       1       1 number	of	homes
      1       1       1       1 nukes	And	Stephen
      1       1       1       1 nuanced	or	specific
      1       1       1       1 nuanced	human	interaction
      1       1       1       1 now	utilize	for
      1       1       1       1 now	that	we
      1       1       1       1 now	exist	are
      1       1       1       1 now	concentrated	in
      1       1       1       1 now	and	that
      1       1       1       1 November	6	2014
      1       1       1       1 November	2016	about
      1       1       1       1 nots	both	within
      1       1       1       1 nothing	to	worry
      1       1       1       1 not	you	agree
      1       1       1       1 not	to	reveal
      1       1       1       1 not	taking	certain
      1       1       1       1 not	replace	It
      1       1       1       1 not	obvious	the
      1       1       1       1 not	like	a
      1       1       1       1 not	just	one
      1       1       1       1 not	just	loans
      1       1       1       1 not	in	the
      1       1       1       1 not	human	As
      1       1       1       1 not	excuse	illegal
      1       1       1       1 not	especially	nuanced
      1       1       1       1 not	be	weaponized
      1       1       1       1 not	be	able
      1       1       1       1 not	arise	for
      1       1       1       1 Not	Apply	Nick
      1       1       1       1 not	an	admired
      1       1       1       1 not	always	for
      1       1       1       1 not	alone	in
      1       1       1       1 not	a	robot
      1       1       1       1 Norvig	a	peer
      1       1       1       1 nonprofit	based	in
      1       1       1       1 nonhuman	language	look
      1       1       1       1 nonhuman	language	Add
      1       1       1       1 no	longer	constrained
      1       1       1       1 no	known	path
      1       1       1       1 no	closed	door
      1       1       1       1 NIPS	2017	ReportJanuary
      1       1       1       1 Nick	Bostrom	on
      1       1       1       1 next	step	now
      1       1       1       1 next	great	hurdle
      1       1       1       1 next	Game	of
      1       1       1       1 next	frontier	That
      1       1       1       1 next	decade	and
      1       1       1       1 next	A	Song
      1       1       1       1 Newsy	Newslook	Tesla
      1       1       1       1 Newslook	Tesla	and
      1       1       1       1 news	videos	My
      1       1       1       1 newest	data	center
      1       1       1       1 New	York	mission
      1       1       1       1 New	York	addressing
      1       1       1       1 New	York	_taboola
      1       1       1       1 new	leader	An
      1       1       1       1 new	important	driver
      1       1       1       1 new	framework	for
      1       1       1       1 new	focus	of
      1       1       1       1 new	computing	hardware
      1       1       1       1 New	artificial	intelligence
      1       1       1       1 new	AI	based
      1       1       1       1 new	A	I
      1       1       1       1 new		
      1       1       1       1 Nevertheless	even	A
      1       1       1       1 never	find	the
      1       1       1       1 never	before	as
      1       1       1       1 Neuroscience	Theses	are
      1       1       1       1 neuroscience	inspired	artificial
      1       1       1       1 neural	networks	which
      1       1       1       1 neural	networks	teach
      1       1       1       1 networks	which	learn
      1       1       1       1 networks	teach	themselves
      1       1       1       1 networks	players	in
      1       1       1       1 networks		
      1       1       1       1 networking	giant	isn
      1       1       1       1 net	he	said
      1       1       1       1 Nervana	Lake	Crest
      1       1       1       1 neither	of	our
      1       1       1       1 negotiate	with	whichever
      1       1       1       1 negotiate	remarkably	well
      1       1       1       1 Negative	Factor	in
      1       1       1       1 needs	to	regulate
      1       1       1       1 needs	to	get
      1       1       1       1 needs	assurances	that
      1       1       1       1 needs	and	that
      1       1       1       1 needs	14	Space
      1       1       1       1 needed	to	predict
      1       1       1       1 need	then	smart
      1       1       1       1 Need	Not	Apply
      1       1       1       1 need	a	new
      1       1       1       1 near	future	fear
      1       1       1       1 naysayers	claiming	it
      1       1       1       1 Naveen	G	Rao
      1       1       1       1 nature	of	super
      1       1       1       1 natural	to	ask
      1       1       1       1 natural	next	step
      1       1       1       1 nations	Or	to
      1       1       1       1 nations	like	China
      1       1       1       1 nations		
      1       1       1       1 National	Intelligence	said
      1       1       1       1 nation	s	governors
      1       1       1       1 nation	s	A
      1       1       1       1 Nathaniel	Rochester	and
      1       1       1       1 Nasdaq	BOTZ	26
      1       1       1       1 narrow	task	e
      1       1       1       1 narrow	AI	or
      1       1       1       1 narrative	potential	of
      1       1       1       1 names	they	are
      1       1       1       1 mystery	It	s
      1       1       1       1 My	three	A
      1       1       1       1 My	third	rule
      1       1       1       1 my	spine	But
      1       1       1       1 My	second	rule
      1       1       1       1 my	own	First
      1       1       1       1 my	lab	at
      1       1       1       1 my	fear	Silicon
      1       1       1       1 My	A	I
      1       1       1       1 must	take	the
      1       1       1       1 must	have	an
      1       1       1       1 must	clearly	disclose
      1       1       1       1 must	be	subject
      1       1       1       1 Musk	vs	Zuck
      1       1       1       1 Musk	says	the
      1       1       1       1 Musk	said	You
      1       1       1       1 Musk	s	view
      1       1       1       1 Musk	recently	urged
      1       1       1       1 Musk	recently	said
      1       1       1       1 Musk	insists	that
      1       1       1       1 Musk	has	called
      1       1       1       1 Musk	has	been
      1       1       1       1 Musk	Government	needs
      1       1       1       1 Musk	and	Zuckerberg
      1       1       1       1 Musk	and	Mr
      1       1       1       1 Musk	and	Mark
      1       1       1       1 Musk	and	Facebook
      1       1       1       1 multi	millennia	history
      1       1       1       1 Muehlhauser	Superintelligence	Paths
      1       1       1       1 Muehlhauser	MIRI	Artificial
      1       1       1       1 much	money	a
      1       1       1       1 Mr	Musk	s
      1       1       1       1 Mr	Musk	insists
      1       1       1       1 Mr	Musk	and
      1       1       1       1 Mr	Hawking	to
      1       1       1       1 Mr	Etzioni	characterized
      1       1       1       1 Mr	Barrat	said
      1       1       1       1 Movies	Transcendence	Our
      1       1       1       1 Move	It	Forward
      1       1       1       1 Motivation	and	Instrumental
      1       1       1       1 mostly	displaced	So
      1       1       1       1 most	scientists	working
      1       1       1       1 most	prominent	examples
      1       1       1       1 most	practical	applications
      1       1       1       1 most	people	realize
      1       1       1       1 most	of	their
      1       1       1       1 most	of	the
      1       1       1       1 most	jobs	humans
      1       1       1       1 most	influential	biomedical
      1       1       1       1 most	countries	will
      1       1       1       1 most	consequential	challenge
      1       1       1       1 most	complex	AI
      1       1       1       1 Most	benefits	of
      1       1       1       1 most	artificial	intelligence
      1       1       1       1 MOSCOW	Russian	President
      1       1       1       1 Mori	AP	AP
      1       1       1       1 more	tips	on
      1       1       1       1 more	than	just
      1       1       1       1 more	than	anything
      1       1       1       1 more	than	400
      1       1       1       1 more	so	if
      1       1       1       1 more	savings	But
      1       1       1       1 More	promising	are
      1       1       1       1 more	optimistically	A
      1       1       1       1 more	near	future
      1       1       1       1 more	Image	22
      1       1       1       1 more	Image	17
      1       1       1       1 more	data	you
      1       1       1       1 more	dangerous	than
      1       1       1       1 more	concrete	basis
      1       1       1       1 more	coming	Robotics
      1       1       1       1 more	accurate	price
      1       1       1       1 more	8	Crime
      1       1       1       1 monopolist	position	and
      1       1       1       1 money	created	by
      1       1       1       1 money	being	made
      1       1       1       1 money	a	company
      1       1       1       1 moment	there	is
      1       1       1       1 Modern	Approach	which
      1       1       1       1 models	having	worked
      1       1       1       1 Model	of	Artificial
      1       1       1       1 Modal	Trigger	Artificial
      1       1       1       1 mobile	software	You
      1       1       1       1 misunderstood	term	thanks
      1       1       1       1 mission	known	as
      1       1       1       1 mission	focused	on
      1       1       1       1 MIRI	publications	Stanford
      1       1       1       1 MIRI	Basic	AI
      1       1       1       1 MIRI	Artificial	Intelligence
      1       1       1       1 Minsky	Nathaniel	Rochester
      1       1       1       1 minority	Artificial	intelligence
      1       1       1       1 minimize	the	looming
      1       1       1       1 minds	to	fully
      1       1       1       1 mind	the	entire
      1       1       1       1 millions	The	outlying
      1       1       1       1 millions	of	SEATTLEPI
      1       1       1       1 millions	of	people
      1       1       1       1 millions	of	distraction
      1       1       1       1 millions	of	Americans
      1       1       1       1 millions	from	Washington
      1       1       1       1 million	last	year
      1       1       1       1 millennia	history	of
      1       1       1       1 might	be	a
      1       1       1       1 Microsoft	and	other
      1       1       1       1 Microsoft	Amazon	Baidu
      1       1       1       1 microdiscoveries	progress	toward
      1       1       1       1 Michael	Wooldridge	Professor
      1       1       1       1 mentions	artificial	intelligence
      1       1       1       1 members	and	is
      1       1       1       1 meetings	where	transparency
      1       1       1       1 meeting	on	artificial
      1       1       1       1 Meet	the	man
      1       1       1       1 medicine	and	scientific
      1       1       1       1 medical	service	providers
      1       1       1       1 medical	professionals	predict
      1       1       1       1 medical	knowledge	about
      1       1       1       1 Media	Articles	Concerns
      1       1       1       1 mean	we	have
      1       1       1       1 mean	This	doesn
      1       1       1       1 mean	they	weren
      1       1       1       1 mean	robots	will
      1       1       1       1 mean	for	humanity
      1       1       1       1 mean	arresting	people
      1       1       1       1 me	recognize	that
      1       1       1       1 me	most	artificial
      1       1       1       1 me	first	explain
      1       1       1       1 me	as	unavoidable
      1       1       1       1 McGouldrick	may	be
      1       1       1       1 McDonnell		
      1       1       1       1 McCarthy	who	coined
      1       1       1       1 McCarthy	inventor	of
      1       1       1       1 maybe	not	in
      1       1       1       1 may	not	arise
      1       1       1       1 may	never	find
      1       1       1       1 may	inadvertently	divulge
      1       1       1       1 may	in	fact
      1       1       1       1 may	have	artificial
      1       1       1       1 may	be	the
      1       1       1       1 may	be	in
      1       1       1       1 may	be	feasible
      1       1       1       1 Max	Tegmark	The
      1       1       1       1 matter	more	optimistically
      1       1       1       1 mastered	an	array
      1       1       1       1 Master	Algorithm	has
      1       1       1       1 mass	unemployment	I
      1       1       1       1 Marvin	Minsky	Nathaniel
      1       1       1       1 martin	technology	45
      1       1       1       1 markets	while	developing
      1       1       1       1 markets	It	seems
      1       1       1       1 markets	and	some
      1       1       1       1 market	and	perhaps
      1       1       1       1 Mark	Zuckerberg	over
      1       1       1       1 Mark	Zuckerberg	have
      1       1       1       1 marching	down	Main
      1       1       1       1 March	Intel	created
      1       1       1       1 maps	of	your
      1       1       1       1 many	medical	professionals
      1       1       1       1 many	jobs	Bank
      1       1       1       1 many	investors	are
      1       1       1       1 many	doors	to
      1       1       1       1 many	companies	hospitals
      1       1       1       1 many	as	the
      1       1       1       1 manipulation	or	terrorist
      1       1       1       1 man	who	takes
      1       1       1       1 making	improvements	to
      1       1       1       1 making	extensive	use
      1       1       1       1 makes	life	easier
      1       1       1       1 makes		
      1       1       1       1 make	travel	a
      1       1       1       1 make	the	artificial
      1       1       1       1 make	scientific	discoveries
      1       1       1       1 make	life	easier
      1       1       1       1 make	if	it
      1       1       1       1 make	existing	cyberattack
      1       1       1       1 make	decisions	And
      1       1       1       1 make	AI	safety
      1       1       1       1 majority	of	travelers
      1       1       1       1 major	breakthrough	for
      1       1       1       1 mainstream	data	center
      1       1       1       1 Main	Street	Rather
      1       1       1       1 main	story	My
      1       1       1       1 main	story	I
      1       1       1       1 main	problems	with
      1       1       1       1 magazine	account	in
      1       1       1       1 Made	Some	Pretty
      1       1       1       1 made	of	during
      1       1       1       1 made	from	artificial
      1       1       1       1 Made	Big	Leaps
      1       1       1       1 made	A	I
      1       1       1       1 Machines	Why	We
      1       1       1       1 machines	to	read
      1       1       1       1 machines	could	drastically
      1       1       1       1 machines	can	comprehend
      1       1       1       1 machines	can	become
      1       1       1       1 machines	as	taking
      1       1       1       1 machines	and	Tags
      1       1       1       1 machines	and	
      1       1       1       1 Machine	Science	Goes
      1       1       1       1 machine	learning	to
      1       1       1       1 machine	learning	a
      1       1       1       1 machine	learning	
      1       1       1       1 Machine	Ethics	Luke
      1       1       1       1 machine	A	I
      1       1       1       1 m	not	alone
      1       1       1       1 lying	Uh	oh
      1       1       1       1 Luke	Muehlhauser	Superintelligence
      1       1       1       1 Luke	Muehlhauser	MIRI
      1       1       1       1 lower	paying	jobs
      1       1       1       1 love	to	hear
      1       1       1       1 love	These	are
      1       1       1       1 love	about	civilization
      1       1       1       1 losses	This	anxiety
      1       1       1       1 loser	is	not
      1       1       1       1 looming	A	I
      1       1       1       1 looking	to	both
      1       1       1       1 Looking	specifically	into
      1       1       1       1 looking	for	more
      1       1       1       1 look	for	breakthroughs
      1       1       1       1 longer	constrained	by
      1       1       1       1 long	way	to
      1       1       1       1 long	term	future
      1       1       1       1 long	long	way
      1       1       1       1 long	From	SIRI
      1       1       1       1 London	the	two
      1       1       1       1 loans	and	as
      1       1       1       1 ll	tell	you
      1       1       1       1 ll	let	someone
      1       1       1       1 ll	breathlessly	tell
      1       1       1       1 live		
      1       1       1       1 little	smarter	The
      1       1       1       1 little	smarter	Does
      1       1       1       1 little	secret	is
      1       1       1       1 listens	during	a
      1       1       1       1 list	of	skills
      1       1       1       1 LISP	coined	the
      1       1       1       1 lines	of	research
      1       1       1       1 limits	of	human
      1       1       1       1 limited	extent	their
      1       1       1       1 limitations	of	their
      1       1       1       1 limit	on	how
      1       1       1       1 likely	Tags	artificial
      1       1       1       1 likely	impact	of
      1       1       1       1 like	using	A
      1       1       1       1 like	us	but
      1       1       1       1 like	Uber	would
      1       1       1       1 like	the	Google
      1       1       1       1 like	OpenAI	which
      1       1       1       1 like	never	before
      1       1       1       1 like	Mr	Musk
      1       1       1       1 like	me	recognize
      1       1       1       1 like	Jill	are
      1       1       1       1 like	identity	theft
      1       1       1       1 like	humans	we
      1       1       1       1 like	data	driven
      1       1       1       1 like	China	will
      1       1       1       1 like	a	fish
      1       1       1       1 like	a	child
      1       1       1       1 like	a	bird
      1       1       1       1 lights	or	worse
      1       1       1       1 Lifelike	robots	take
      1       1       1       1 life	It	will
      1       1       1       1 Life	Institute	RSS2
      1       1       1       1 Life	Institute	iCal
      1       1       1       1 Life	Institute	Benefits
      1       1       1       1 life	easier	Watson
      1       1       1       1 life	easier	for
      1       1       1       1 Life	3	0
      1       1       1       1 license	on	areas
      1       1       1       1 liability	because	it
      1       1       1       1 letting	the	parent
      1       1       1       1 Letter	Research	Priorities
      1       1       1       1 Letter	Artificial	intelligence
      1       1       1       1 let	someone	else
      1       1       1       1 Let	s	Unstick
      1       1       1       1 let	me	first
      1       1       1       1 lesson	from	history
      1       1       1       1 less	Washington	professor
      1       1       1       1 less	14	Space
      1       1       1       1 less	12	Unemployment
      1       1       1       1 left	the	barn
      1       1       1       1 left	after	a
      1       1       1       1 Lee	Sedol	the
      1       1       1       1 least	slow	down
      1       1       1       1 least	one	positive
      1       1       1       1 learnt	by	itself
      1       1       1       1 Learns	to	Learn
      1       1       1       1 learningneural	networks	players
      1       1       1       1 learningneural	networks	
      1       1       1       1 learning	to	analyze
      1       1       1       1 learning	in	which
      1       1       1       1 learning	a	form
      1       1       1       1 learning		
      1       1       1       1 learn	specific	tasks
      1       1       1       1 learn	from	humans
      1       1       1       1 Learn	Entirely	on
      1       1       1       1 learn		
      1       1       1       1 Leaps	This	Week
      1       1       1       1 leads	to	the
      1       1       1       1 leading	to	an
      1       1       1       1 leading	by	some
      1       1       1       1 leader	in	mobile
      1       1       1       1 Leader	in	artificial
      1       1       1       1 leader	An	artificial
      1       1       1       1 Lead	While	Pivoting
      1       1       1       1 lead	to	better
      1       1       1       1 lead	people	like
      1       1       1       1 Lead	Intel	While
      1       1       1       1 Lead	In	particular
      1       1       1       1 laws	that	apply
      1       1       1       1 laws	of	robotics
      1       1       1       1 laws	are	elegant
      1       1       1       1 Lawrence	AFP	Getty
      1       1       1       1 law	should	be
      1       1       1       1 launching	a	group
      1       1       1       1 launch	in	a
      1       1       1       1 latest	incarnation	of
      1       1       1       1 latest	entrant	is
      1       1       1       1 latest	AI	efforts
      1       1       1       1 late	to	artificial
      1       1       1       1 late	Mr	Musk
      1       1       1       1 Last	year	my
      1       1       1       1 last	year	it
      1       1       1       1 last	year	In
      1       1       1       1 Last	week	s
      1       1       1       1 last	three	years
      1       1       1       1 lashing	out	Researchers
      1       1       1       1 largest	open	efforts
      1       1       1       1 larger	labs	in
      1       1       1       1 large	growing	population
      1       1       1       1 large	chunks	of
      1       1       1       1 languages	lying	Uh
      1       1       1       1 languages	Intel	is
      1       1       1       1 language	translation	speech
      1       1       1       1 language	look	for
      1       1       1       1 language	LISP	coined
      1       1       1       1 language	Add	dealmaking
      1       1       1       1 landscape	the	Silicon
      1       1       1       1 Lake	Crest	is
      1       1       1       1 lacks	social	workers
      1       1       1       1 labs	in	the
      1       1       1       1 labs	in	private
      1       1       1       1 labeled	as	such
      1       1       1       1 lab	reveals	its
      1       1       1       1 lab	recently	performed
      1       1       1       1 lab	at	Georgia
      1       1       1       1 Kurzweil	s	at
      1       1       1       1 Korean	Go	champion
      1       1       1       1 Kong	on	July
      1       1       1       1 Kong		
      1       1       1       1 Koch	and	Stuart
      1       1       1       1 knows	papers	and
      1       1       1       1 known	path	from
      1       1       1       1 known	in	the
      1       1       1       1 known	as	narrow
      1       1       1       1 known	as	learn
      1       1       1       1 known	as	Jill
      1       1       1       1 known	as	Chang
      1       1       1       1 knowledge	the	breakthrough
      1       1       1       1 knowledge	on	equal
      1       1       1       1 knowledge	of	the
      1       1       1       1 knowledge	in	This
      1       1       1       1 knowledge	Dubbed	AlphaGo
      1       1       1       1 knowledge	about	symptoms
      1       1       1       1 know	of	one
      1       1       1       1 know	how	in
      1       1       1       1 know	exist	yet
      1       1       1       1 kind	of	A
      1       1       1       1 kill	us	Artificial
      1       1       1       1 kill	us	all
      1       1       1       1 kill	In	the
      1       1       1       1 Keynesian	approach	I
      1       1       1       1 Kayak	artificial	intelligence
      1       1       1       1 Kalimov	is	head
      1       1       1       1 just	wrote	the
      1       1       1       1 just	three	days
      1       1       1       1 just	the	natural
      1       1       1       1 just	reported	its
      1       1       1       1 just	produce	fake
      1       1       1       1 just	one	technology
      1       1       1       1 just	makes	
      1       1       1       1 just	loans	and
      1       1       1       1 just	common	names
      1       1       1       1 June	6	2016
      1       1       1       1 July	30	2017
      1       1       1       1 July	12	the
      1       1       1       1 July	12	2017
      1       1       1       1 JPG	uuid	bO3beFYDEeeEC1EgJjGdpw
      1       1       1       1 join	us	on
      1       1       1       1 John	McDonnell	
      1       1       1       1 John	McCarthy	who
      1       1       1       1 John	McCarthy	inventor
      1       1       1       1 jobs	Topics	Artificial
      1       1       1       1 jobs	that	A
      1       1       1       1 jobs	Optimists	have
      1       1       1       1 jobs	of	love
      1       1       1       1 jobs	it	can
      1       1       1       1 jobs	involving	the
      1       1       1       1 jobs	involving	creativity
      1       1       1       1 jobs	in	fields
      1       1       1       1 jobs	in	artificial
      1       1       1       1 jobs	in	10
      1       1       1       1 jobs	humans	do
      1       1       1       1 jobs	have	been
      1       1       1       1 jobs	Bank	tellers
      1       1       1       1 jobs	artisans	personal
      1       1       1       1 jobs	and	the
      1       1       1       1 jobs	and	privacy
      1       1       1       1 jobs	A	I
      1       1       1       1 job	market	and
      1       1       1       1 job	losses	This
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      1       1       1       1 Jill	Watson	an
      1       1       1       1 Jill	s	performance
      1       1       1       1 Jill	are	critical
      1       1       1       1 James	R	Clapper
      1       1       1       1 James	Barrat	author
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      1       1       1       1 itself	within	days
      1       1       1       1 its	ultimate	impact
      1       1       1       1 its	site	and
      1       1       1       1 its	progress	A
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      1       1       1       1 it	will	replace
      1       1       1       1 it	will	mean
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      1       1       1       1 it	will	comprise
      1       1       1       1 it	What	role
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      1       1       1       1 It	Today	s
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      1       1       1       1 It	strikes	me
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      1       1       1       1 it	should	not
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      1       1       1       1 it	s	something
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      1       1       1       1 It	s	natural
      1       1       1       1 It	s	because
      1       1       1       1 it	s	a
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      1       1       1       1 it	out	so
      1       1       1       1 it	might	be
      1       1       1       1 it	made	A
      1       1       1       1 it	knows	papers
      1       1       1       1 It	just	makes
      1       1       1       1 it	It	plans
      1       1       1       1 it	is	not
      1       1       1       1 it	is	designed
      1       1       1       1 it	is	clear
      1       1       1       1 it	in	the
      1       1       1       1 it	in	check
      1       1       1       1 it	Imagine	how
      1       1       1       1 it	Grab	an
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      1       1       1       1 It	Forward	Artificial
      1       1       1       1 it	doesn	t
      1       1       1       1 it	does	it
      1       1       1       1 it	comes	to
      1       1       1       1 it	can	reach
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      1       1       1       1 isn	t	done
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      1       1       1       1 is	yes	But
      1       1       1       1 is	writing	the
      1       1       1       1 Is	Worried	About
      1       1       1       1 is	to	attempt
      1       1       1       1 is	the	planet
      1       1       1       1 is	the	Future
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      1       1       1       1 is	the	chief
      1       1       1       1 is	the	author
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      1       1       1       1 is	that	if
      1       1       1       1 is	that	an
      1       1       1       1 is	tapping	the
      1       1       1       1 is	taking	place
      1       1       1       1 is	taking	on
      1       1       1       1 is	taking	off
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      1       1       1       1 Is	Stuck	Here
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      1       1       1       1 is	something	smarter
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      1       1       1       1 is	properly	known
      1       1       1       1 is	progressing	rapidly
      1       1       1       1 is	programmed	to
      1       1       1       1 is	privy	to
      1       1       1       1 is	presenting	us
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      1       1       1       1 is	potentially	more
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      1       1       1       1 is	part	of
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      1       1       1       1 is	here	to
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      1       1       1       1 is	exploding	with
      1       1       1       1 is	everywhere	Yet
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      1       1       1       1 is	designed	to
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      1       1       1       1 is	coming	Society
      1       1       1       1 is	colossally	hyped
      1       1       1       1 is	clear	that
      1       1       1       1 is	based	on
      1       1       1       1 is	As	artificial
      1       1       1       1 is	artificial	intelligence
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      1       1       1       1 is	Aeromexico	s
      1       1       1       1 is	Actually	skip
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      1       1       1       1 is	a	reference
      1       1       1       1 is	a	realistic
      1       1       1       1 is	a	product
      1       1       1       1 is	a	misunderstood
      1       1       1       1 is	a	big
      1       1       1       1 Ironic	since	we
      1       1       1       1 iPhone	and	ask
      1       1       1       1 involving	the	people
      1       1       1       1 involving	creativity	planning
      1       1       1       1 involve	service	jobs
      1       1       1       1 involve	educating	or
      1       1       1       1 invests	in	companies
      1       1       1       1 investors	are	already
      1       1       1       1 Investments	into	artificial
      1       1       1       1 investigations	in	collaboration
      1       1       1       1 inventor	of	the
      1       1       1       1 inventor	Elon	Musk
      1       1       1       1 inventing	languages	lying
      1       1       1       1 introduce	them	here
      1       1       1       1 intricate	yet	easy
      1       1       1       1 into	what	could
      1       1       1       1 into	the	sector
      1       1       1       1 into	The	pressures
      1       1       1       1 into	committing	crimes
      1       1       1       1 into	cancer	research
      1       1       1       1 interview	that	anyone
      1       1       1       1 Interview	on	the
      1       1       1       1 internet	connected	robotic
      1       1       1       1 international	treaties	Our
      1       1       1       1 international	competition	the
      1       1       1       1 international	A	I
      1       1       1       1 interface	for	A
      1       1       1       1 interested	in	a
      1       1       1       1 interest	of	caution
      1       1       1       1 interaction	But	here
      1       1       1       1 intended	to	help
      1       1       1       1 intelligent	machines	can
      1       1       1       1 intelligenceJames	R	Clapper
      1       1       1       1 IntelligenceDecember	27	2017
      1       1       1       1 intelligencecomputer	sciencemachine	learningneural
      1       1       1       1 intelligence	won	t
      1       1       1       1 intelligence	without	being
      1       1       1       1 Intelligence	With	Very
      1       1       1       1 intelligence	with	other
      1       1       1       1 intelligence	with	artificial
      1       1       1       1 Intelligence	Wiping	Out
      1       1       1       1 intelligence	will	soon
      1       1       1       1 intelligence	will	rule
      1       1       1       1 intelligence	will	go
      1       1       1       1 Intelligence	will	do
      1       1       1       1 intelligence	will	come
      1       1       1       1 intelligence	will	change
      1       1       1       1 Intelligence	White	House
      1       1       1       1 intelligence	which	is
      1       1       1       1 Intelligence	Turns	On
      1       1       1       1 Intelligence	Tries	to
      1       1       1       1 intelligence	Transparency	is
      1       1       1       1 Intelligence	Too	often
      1       1       1       1 intelligence	today	Roughly
      1       1       1       1 intelligence	today	is
      1       1       1       1 intelligence	to	thank
      1       1       1       1 intelligence	to	select
      1       1       1       1 intelligence	to	program
      1       1       1       1 intelligence	to	power
      1       1       1       1 intelligence	to	finish
      1       1       1       1 intelligence	To	assess
      1       1       1       1 Intelligence	The	technology
      1       1       1       1 Intelligence	The	Superintelligent
      1       1       1       1 intelligence	The	security
      1       1       1       1 Intelligence	The	Real
      1       1       1       1 intelligence	that	there
      1       1       1       1 intelligence	that	s
      1       1       1       1 intelligence	that	doesn
      1       1       1       1 Intelligence	Tech	giants
      1       1       1       1 Intelligence	taught	like
      1       1       1       1 Intelligence	Talks	from
      1       1       1       1 intelligence	system	just
      1       1       1       1 intelligence	supercharges	automation
      1       1       1       1 Intelligence	SundayReview	The
      1       1       1       1 Intelligence	Stephen	Hawking
      1       1       1       1 intelligence	startup	Partnership
      1       1       1       1 intelligence	start	up
      1       1       1       1 intelligence	solutions	are
      1       1       1       1 intelligence	so	how
      1       1       1       1 intelligence	so	amplifying
      1       1       1       1 intelligence	says	it
      1       1       1       1 Intelligence	said	artificial
      1       1       1       1 intelligence	run	amok
      1       1       1       1 intelligence	robots	science
      1       1       1       1 intelligence	robotics	could
      1       1       1       1 Intelligence	Rivals	Human
      1       1       1       1 intelligence	revolution	on
      1       1       1       1 intelligence	revolution	Artificial
      1       1       1       1 intelligence	results	to
      1       1       1       1 Intelligence	Response	to
      1       1       1       1 Intelligence	Research	released
      1       1       1       1 intelligence	research	IBM
      1       1       1       1 intelligence	research	for
      1       1       1       1 intelligence	research	Comments
      1       1       1       1 intelligence	research	BOSTON
      1       1       1       1 intelligence	research	at
      1       1       1       1 intelligence	research	and
      1       1       1       1 intelligence	represents	an
      1       1       1       1 Intelligence	Report	that
      1       1       1       1 intelligence	replace	the
      1       1       1       1 Intelligence	Re	How
      1       1       1       1 intelligence	promises	to
      1       1       1       1 Intelligence	project	utilizing
      1       1       1       1 intelligence	programs	that
      1       1       1       1 Intelligence	Poses	Extinction
      1       1       1       1 intelligence	porn	porn
      1       1       1       1 intelligence	platform	sees
      1       1       1       1 Intelligence	Pioneer	Transcending
      1       1       1       1 intelligence	Photo	chief
      1       1       1       1 intelligence	Perhaps	it
      1       1       1       1 intelligence	people	use
      1       1       1       1 intelligence	Our	final
      1       1       1       1 Intelligence	Opinion	How
      1       1       1       1 Intelligence	Opinion	Ethics
      1       1       1       1 Intelligence	Open	Letter
      1       1       1       1 intelligence	only	grows
      1       1       1       1 intelligence	on	jobs
      1       1       1       1 intelligence	often	causes
      1       1       1       1 intelligence	Musk	vs
      1       1       1       1 intelligence	Musk	Government
      1       1       1       1 Intelligence	Media	Articles
      1       1       1       1 intelligence	Marvin	Minsky
      1       1       1       1 Intelligence	machine	learning
      1       1       1       1 Intelligence	Learns	to
      1       1       1       1 intelligence	leading	to
      1       1       1       1 intelligence	lead	people
      1       1       1       1 intelligence	Last	week
      1       1       1       1 intelligence	lab	recently
      1       1       1       1 intelligence	James	R
      1       1       1       1 intelligence	is	writing
      1       1       1       1 intelligence	is	taking
      1       1       1       1 Intelligence	Is	Stuck
      1       1       1       1 intelligence	is	potentially
      1       1       1       1 intelligence	is	poorly
      1       1       1       1 intelligence	is	increasingly
      1       1       1       1 intelligence	is	creating
      1       1       1       1 Intelligence	is	colossally
      1       1       1       1 intelligence	is	already
      1       1       1       1 intelligence	is	Actually
      1       1       1       1 intelligence	is	a
      1       1       1       1 Intelligence	Intelligence	Explosion
      1       1       1       1 intelligence	industry	a
      1       1       1       1 intelligence	including	governments
      1       1       1       1 intelligence	in	travel
      1       1       1       1 intelligence	in	1955
      1       1       1       1 intelligence	improves	our
      1       1       1       1 intelligence	IBM	and
      1       1       1       1 intelligence	IBM	
      1       1       1       1 Intelligence	How	to
      1       1       1       1 intelligence	has	the
      1       1       1       1 intelligence	has	dramatically
      1       1       1       1 intelligence	has	become
      1       1       1       1 intelligence	has	already
      1       1       1       1 intelligence	group	DeepMind
      1       1       1       1 intelligence	Global	X
      1       1       1       1 intelligence	games	
      1       1       1       1 intelligence	from	a
      1       1       1       1 Intelligence	Explosion	and
      1       1       1       1 Intelligence	Everything	we
      1       1       1       1 intelligence	event	Robotics
      1       1       1       1 Intelligence	Ethics	and
      1       1       1       1 Intelligence	ETF	U
      1       1       1       1 Intelligence	ETF	BOTZ
      1       1       1       1 Intelligence	engineers	to
      1       1       1       1 Intelligence	Development	The
      1       1       1       1 intelligence	defeated	Lee
      1       1       1       1 Intelligence	Deep	Safety
      1       1       1       1 intelligence	cybersecurity	
      1       1       1       1 intelligence	cyber	attacks
      1       1       1       1 Intelligence	could	kill
      1       1       1       1 intelligence	could	finally
      1       1       1       1 intelligence	computer	no
      1       1       1       1 intelligence	company	specialising
      1       1       1       1 intelligence	company	based
      1       1       1       1 intelligence	commission	needed
      1       1       1       1 Intelligence	Comments	Feed
      1       1       1       1 intelligence	comes	in
      1       1       1       1 intelligence	China	
      1       1       1       1 intelligence	chatbots	developed
      1       1       1       1 intelligence	Can	we
      1       1       1       1 intelligence	can	this
      1       1       1       1 Intelligence	Can	artificial
      1       1       1       1 Intelligence	by	Oren
      1       1       1       1 intelligence	books	game
      1       1       1       1 Intelligence	Biotechnology	benefits
      1       1       1       1 intelligence	bid	seeks
      1       1       1       1 intelligence	Benefits	Risks
      1       1       1       1 intelligence	Before	we
      1       1       1       1 intelligence	before	it
      1       1       1       1 intelligence	because	we
      1       1       1       1 intelligence	because	it
      1       1       1       1 Intelligence	Automation	and
      1       1       1       1 intelligence	at	the
      1       1       1       1 intelligence	at	all
      1       1       1       1 intelligence	ask	our
      1       1       1       1 intelligence	as	just
      1       1       1       1 intelligence	Artificial	intelligence
      1       1       1       1 intelligence	aren	t
      1       1       1       1 intelligence	are	side
      1       1       1       1 intelligence	are	enlisting
      1       1       1       1 intelligence	and	what
      1       1       1       1 intelligence	and	their
      1       1       1       1 intelligence	and	robots
      1       1       1       1 intelligence	and	other
      1       1       1       1 Intelligence	and	Neuroscience
      1       1       1       1 intelligence	and	global
      1       1       1       1 Intelligence	and	Existential
      1       1       1       1 intelligence	and	create
      1       1       1       1 intelligence	and	are
      1       1       1       1 intelligence	also	allows
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      1       1       1       1 intelligence	algorithms	are
      1       1       1       1 Intelligence	AI2	a
      1       1       1       1 Intelligence	AI100	Preparing
      1       1       1       1 intelligence	AI	Washington
      1       1       1       1 intelligence	AI	was
      1       1       1       1 intelligence	AI	technologies
      1       1       1       1 Intelligence	AI	system
      1       1       1       1 intelligence	AI	start
      1       1       1       1 intelligence	AI	Robot
      1       1       1       1 intelligence	AI	q
      1       1       1       1 intelligence	AI	Opinion
      1       1       1       1 intelligence	AI	John
      1       1       1       1 intelligence	AI	is
      1       1       1       1 intelligence	AI	in
      1       1       1       1 intelligence	AI	has
      1       1       1       1 intelligence	AI	company
      1       1       1       1 intelligence	AI	by
      1       1       1       1 intelligence	AI	Artificial
      1       1       1       1 intelligence	AI	
      1       1       1       1 Intelligence	acts	aggressive
      1       1       1       1 Intelligence	A19	of
      1       1       1       1 Intelligence	A	Modern
      1       1       1       1 intelligence	a	fundamental
      1       1       1       1 intellectual	version	of
      1       1       1       1 Intel	While	Pivoting
      1       1       1       1 Intel	Protects	Its
      1       1       1       1 Intel	is	hurrying
      1       1       1       1 Intel	created	an
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      1       1       1       1 Institute	RSS2	Feed
      1       1       1       1 Institute	iCal	Feed
      1       1       1       1 Institute	Benefits	Risks
      1       1       1       1 Instead	specialized	chips
      1       1       1       1 instance	we	ve
      1       1       1       1 inspired	by	yet
      1       1       1       1 inspired	artificial	intelligence
      1       1       1       1 insists	that	artificial
      1       1       1       1 insights	that	improve
      1       1       1       1 innocuous	housecleaning	robots
      1       1       1       1 initiatives	via	taxes
      1       1       1       1 initiative	to	firmly
      1       1       1       1 information	without	explicit
      1       1       1       1 information	Think	of
      1       1       1       1 information	that	your
      1       1       1       1 information	from	a
      1       1       1       1 information	Because	of
      1       1       1       1 information	A	I
      1       1       1       1 influential	biomedical	scientist
      1       1       1       1 infatuated	with	technology
      1       1       1       1 inequality	on	a
      1       1       1       1 industry	is	poised
      1       1       1       1 industry	in	which
      1       1       1       1 industry	in	the
      1       1       1       1 industry	Comments	Feed
      1       1       1       1 industry	China	aims
      1       1       1       1 industry	as	accelerators
      1       1       1       1 industry	a	new
      1       1       1       1 Industrial	Revolution	and
      1       1       1       1 individuals	terrorists	protected
      1       1       1       1 individual	viewers	
      1       1       1       1 individual	Most	benefits
      1       1       1       1 individual	acts	of
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      1       1       1       1 India	in	recent
      1       1       1       1 Indeed	So	if
      1       1       1       1 increasingly	sophisticated	dialogue
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      1       1       1       1 increasingly	on	the
      1       1       1       1 increasingly	is	looking
      1       1       1       1 increasing	number	of
      1       1       1       1 increased	by	almost
      1       1       1       1 increased	adoption	and
      1       1       1       1 increase	policing	in
      1       1       1       1 including	governments	and
      1       1       1       1 includes	machine	learning
      1       1       1       1 include	graphics	of
      1       1       1       1 incarnation	of	its
      1       1       1       1 inadvertently	divulge	to
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      1       1       1       1 in	the	case
      1       1       1       1 in	the	box
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      1       1       1       1 in	the	areas
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      1       1       1       1 in	recent	decades
      1       1       1       1 In	reality	most
      1       1       1       1 in	private	industry
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      1       1       1       1 In	particular	the
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      1       1       1       1 in	human	affairs
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      1       1       1       1 in	history	when
      1       1       1       1 in	his	her
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      1       1       1       1 In	fact	the
      1       1       1       1 in	fact	have
      1       1       1       1 in	exchange	for
      1       1       1       1 in	enormous	profits
      1       1       1       1 in	developing	artificial
      1       1       1       1 in	developed	markets
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      1       1       1       1 in	common	sense
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      1       1       1       1 in	Asilomar	CA
      1       1       1       1 in	areas	where
      1       1       1       1 in	an	office
      1       1       1       1 In	an	advanced
      1       1       1       1 In	all	cases
      1       1       1       1 in	a	video
      1       1       1       1 in	a	prime
      1       1       1       1 In	a	major
      1       1       1       1 in	a	discussion
      1       1       1       1 in	a	demonstration
      1       1       1       1 in	a	decade
      1       1       1       1 in	a	career
      1       1       1       1 In	2016	a
      1       1       1       1 in	1955	As
      1       1       1       1 in	10	years
      1       1       1       1 in		
      1       1       1       1 improving	faster	than
      1       1       1       1 improves	our	futures
      1       1       1       1 improvements	to	dialog
      1       1       1       1 improved	Google	Translate
      1       1       1       1 improve	productivity	Source
      1       1       1       1 impregnable	off	switch
      1       1       1       1 important	driver	of
      1       1       1       1 impersonated	Donald	Trump
      1       1       1       1 impact	says	CBI
      1       1       1       1 impact	on	weapons
      1       1       1       1 impact	on	jobs
      1       1       1       1 impact	on	humanity
      1       1       1       1 impact	of	the
      1       1       1       1 impact	of	artificial
      1       1       1       1 impact	of	A
      1       1       1       1 imagine	when	someone
      1       1       1       1 Imagine	how	much
      1       1       1       1 Images	Steve	Debenport
      1       1       1       1 Images	Robot	and
      1       1       1       1 images	recognize	speech
      1       1       1       1 Image	23	of
      1       1       1       1 Image	22	of
      1       1       1       1 Image	17	of
      1       1       1       1 Image	14	of
      1       1       1       1 illegal	behavior	Continue
      1       1       1       1 If	you	view
      1       1       1       1 if	you	understand
      1       1       1       1 if	you	are
      1       1       1       1 if	we	do
      1       1       1       1 If	we	close
      1       1       1       1 if	they	develop
      1       1       1       1 if	slowly	and
      1       1       1       1 if	not	especially
      1       1       1       1 if	most	countries
      1       1       1       1 if	it	used
      1       1       1       1 if	it	made
      1       1       1       1 if	ever	At
      1       1       1       1 if	engineers	weren
      1       1       1       1 IEEE	Special	Report
      1       1       1       1 identity	theft	denial
      1       1       1       1 identify	images	recognize
      1       1       1       1 iconic	In	reality
      1       1       1       1 Ice	And	Fire
      1       1       1       1 iCal	Feed	Future
      1       1       1       1 IBM	is	a
      1       1       1       1 IBM		
      1       1       1       1 I	would	love
      1       1       1       1 I	world	where
      1       1       1       1 I	world	more
      1       1       1       1 I	will	make
      1       1       1       1 I	will	have
      1       1       1       1 I	will	bring
      1       1       1       1 I	weapons	that
      1       1       1       1 I	wave	On
      1       1       1       1 I	tools	like
      1       1       1       1 I	tools	aren
      1       1       1       1 I	to	release
      1       1       1       1 I	to	engage
      1       1       1       1 I	to	advance
      1       1       1       1 I	they	will
      1       1       1       1 I	The	Keynesian
      1       1       1       1 I	tasks	Nvidia
      1       1       1       1 I	tasks	faster
      1       1       1       1 I	systems	that
      1       1       1       1 I	systems	tend
      1       1       1       1 I	systems	have
      1       1       1       1 I	systems	for
      1       1       1       1 I	systems	don
      1       1       1       1 I	systems	are
      1       1       1       1 I	system	must
      1       1       1       1 I	system	did
      1       1       1       1 I	system	cannot
      1       1       1       1 I	system	are
      1       1       1       1 I	suspect	will
      1       1       1       1 I	surpasses	human
      1       1       1       1 I	suggest	a
      1       1       1       1 I	software	China
      1       1       1       1 I	should	not
      1       1       1       1 I	self	aware
      1       1       1       1 I	science	with
      1       1       1       1 I	say	this
      1       1       1       1 I	s	rate
      1       1       1       1 I	s	Future
      1       1       1       1 I	rules	are
      1       1       1       1 I	robots	in
      1       1       1       1 I	revolution	is
      1       1       1       1 I	researchers	like
      1       1       1       1 I	research	small
      1       1       1       1 I	read	about
      1       1       1       1 I	propose	three
      1       1       1       1 I	programs	that
      1       1       1       1 I	programs	called
      1       1       1       1 I	products	that
      1       1       1       1 I	powered	virtual
      1       1       1       1 I	plans	and
      1       1       1       1 I	paradigm	one
      1       1       1       1 I	Order	Reprints
      1       1       1       1 I	once	produced
      1       1       1       1 I	must	have
      1       1       1       1 I	mission	focused
      1       1       1       1 I	markets	It
      1       1       1       1 I	makes	life
      1       1       1       1 I	Made	Big
      1       1       1       1 I	machines	as
      1       1       1       1 I	m	not
      1       1       1       1 I	ll	tell
      1       1       1       1 I	ll	let
      1       1       1       1 I	like	OpenAI
      1       1       1       1 I	lacks	social
      1       1       1       1 I	know	of
      1       1       1       1 I	it	will
      1       1       1       1 I	Is	Stuck
      1       1       1       1 I	is	spreading
      1       1       1       1 I	is	presenting
      1       1       1       1 I	is	part
      1       1       1       1 I	is	exploding
      1       1       1       1 I	is	everywhere
      1       1       1       1 I	is	coming
      1       1       1       1 I	is	an
      1       1       1       1 I	is	a
      1       1       1       1 I	introduce	them
      1       1       1       1 I	intelligence	start
      1       1       1       1 I	in	the
      1       1       1       1 I	I	suggest
      1       1       1       1 I	I	propose
      1       1       1       1 I	horse	has
      1       1       1       1 I	have	sketched
      1       1       1       1 I	Has	Made
      1       1       1       1 I	has	its
      1       1       1       1 I	has	helped
      1       1       1       1 I	has	become
      1       1       1       1 I	harm	based
      1       1       1       1 I	group	headed
      1       1       1       1 I	fueled	gap
      1       1       1       1 I	fear	however
      1       1       1       1 I	easily	could
      1       1       1       1 I	don	t
      1       1       1       1 I	did	it
      1       1       1       1 I	development	we
      1       1       1       1 I	companies	to
      1       1       1       1 I	companies	continue
      1       1       1       1 I	challenge	any
      1       1       1       1 I	cannot	do
      1       1       1       1 I	can	t
      1       1       1       1 I	can	also
      1       1       1       1 I	businesses	to
      1       1       1       1 I	both	as
      1       1       1       1 I	believe	the
      1       1       1       1 I	believe	sound
      1       1       1       1 I	Barbie	Even
      1       1       1       1 I	at	all
      1       1       1       1 I	as	well
      1       1       1       1 I	and	expanding
      1       1       1       1 I	agent	could
      1       1       1       1 I	advancement	can
      1       1       1       1 I	a	public
      1       1       1       1 I	a	prerequisite
      1       1       1       1 HyperScience	an	artificial
      1       1       1       1 hyped	these	days
      1       1       1       1 hurrying	to	catch
      1       1       1       1 hurdle	in	A
      1       1       1       1 hundreds	of	years
      1       1       1       1 hundreds	of	millions
      1       1       1       1 Hundred	Year	Study
      1       1       1       1 humorously	impersonated	Donald
      1       1       1       1 humans	we	need
      1       1       1       1 humans	out	of
      1       1       1       1 humans	or	by
      1       1       1       1 Humans	Need	Not
      1       1       1       1 humans	in	the
      1       1       1       1 humans	do	now
      1       1       1       1 humans	can	do
      1       1       1       1 humans	at	A
      1       1       1       1 Humans	are	best
      1       1       1       1 humans	are	active
      1       1       1       1 humanoid	robot	from
      1       1       1       1 humanity	There	are
      1       1       1       1 Humanity	Says	Oxford
      1       1       1       1 humanity	in	a
      1       1       1       1 humanity	I	don
      1       1       1       1 humanity	during	a
      1       1       1       1 Humanity	Artificial	Intelligence
      1       1       1       1 humanity	an	alarmist
      1       1       1       1 human	values	it
      1       1       1       1 human	teaching	assistants
      1       1       1       1 human	soldiers	with
      1       1       1       1 Human	Rights	Watch
      1       1       1       1 human	operator	This
      1       1       1       1 human	minds	to
      1       1       1       1 human	knowledge	the
      1       1       1       1 human	knowledge	Dubbed
      1       1       1       1 human	interface	for
      1       1       1       1 human	interaction	But
      1       1       1       1 human	intelligence	with
      1       1       1       1 human	intelligence	leading
      1       1       1       1 human	intelligence	at
      1       1       1       1 Human	in	the
      1       1       1       1 Human	Era	So
      1       1       1       1 Human	Era	June
      1       1       1       1 human	developers	Its
      1       1       1       1 Human	Dealmakers	At
      1       1       1       1 human	cognition	remains
      1       1       1       1 human	civilization	Video
      1       1       1       1 human	civilization	
      1       1       1       1 human	brain	Will
      1       1       1       1 human	As	we
      1       1       1       1 human	Artificial	Intelligence
      1       1       1       1 human	affairs	They
      1       1       1       1 Huge	Leaps	This
      1       1       1       1 however	that	neither
      1       1       1       1 how	we	work
      1       1       1       1 How	today	s
      1       1       1       1 how	to	play
      1       1       1       1 How	to	Move
      1       1       1       1 how	to	minimize
      1       1       1       1 how	to	code
      1       1       1       1 how	to	break
      1       1       1       1 how	smart	machines
      1       1       1       1 how	much	money
      1       1       1       1 how	in	artificial
      1       1       1       1 how	can	we
      1       1       1       1 housecleaning	robots	create
      1       1       1       1 House	s	work
      1       1       1       1 House	report	that
      1       1       1       1 hours	than	they
      1       1       1       1 hottest	corners	artificial
      1       1       1       1 hospitals	and	research
      1       1       1       1 Horvitz	Max	Tegmark
      1       1       1       1 horse	has	left
      1       1       1       1 Hopper	which	uses
      1       1       1       1 Hopper	New	artificial
      1       1       1       1 Hopper	and	similar
      1       1       1       1 Hong	Kong	on
      1       1       1       1 Hong	Kong	
      1       1       1       1 homes	is	privy
      1       1       1       1 home	That	My
      1       1       1       1 hits	different	groups
      1       1       1       1 history	when	A
      1       1       1       1 history	of	the
      1       1       1       1 history	is	As
      1       1       1       1 his	her	mind
      1       1       1       1 his	concerns	over
      1       1       1       1 here	too	there
      1       1       1       1 here	to	help
      1       1       1       1 Here	s	What
      1       1       1       1 Here	s	How
      1       1       1       1 here	as	a
      1       1       1       1 her	Mr	Etzioni
      1       1       1       1 her	mind	the
      1       1       1       1 Heni	Ben	Amor
      1       1       1       1 helping	civilization	flourish
      1       1       1       1 helped	many	medical
      1       1       1       1 help	Read	original
      1       1       1       1 help	not	replace
      1       1       1       1 help	But	if
      1       1       1       1 help	answer	students
      1       1       1       1 heating	up	Time
      1       1       1       1 hear	at	least
      1       1       1       1 health	solutions	People
      1       1       1       1 headwinds	and	increasingly
      1       1       1       1 headline	The	Real
      1       1       1       1 headline	Intel	Protects
      1       1       1       1 headline	How	to
      1       1       1       1 headline	Artificial	Intelligence
      1       1       1       1 headline	A	I
      1       1       1       1 headed	by	Naveen
      1       1       1       1 head	of	products
      1       1       1       1 He	told	the
      1       1       1       1 he	said	I
      1       1       1       1 HBO	show	is
      1       1       1       1 Hawking	to	worry
      1       1       1       1 Hawking	one	of
      1       1       1       1 Hawking	Is	Worried
      1       1       1       1 having	worked	on
      1       1       1       1 having	its	most
      1       1       1       1 having	analytical	software
      1       1       1       1 haves	and	the
      1       1       1       1 have	very	differing
      1       1       1       1 have	to	start
      1       1       1       1 have	the	better
      1       1       1       1 have	sketched	out
      1       1       1       1 have	seen	in
      1       1       1       1 have	said	that
      1       1       1       1 have	proved	well
      1       1       1       1 have	nots	both
      1       1       1       1 have	nothing	to
      1       1       1       1 have	mastered	an
      1       1       1       1 have	I	they
      1       1       1       1 have	enough	successful
      1       1       1       1 have	been	unnerved
      1       1       1       1 have	been	displaced
      1       1       1       1 have	artificial	intelligence
      1       1       1       1 have	an	impregnable
      1       1       1       1 have	already	seen
      1       1       1       1 Hassabis	founder	and
      1       1       1       1 Hassabis	a	top
      1       1       1       1 has	unveiled	the
      1       1       1       1 has	the	potential
      1       1       1       1 has	said	replacing
      1       1       1       1 Has	Made	Some
      1       1       1       1 has	left	the
      1       1       1       1 has	its	naysayers
      1       1       1       1 has	increased	by
      1       1       1       1 has	helped	many
      1       1       1       1 has	experience	with
      1       1       1       1 has	dramatically	improved
      1       1       1       1 has	called	artificial
      1       1       1       1 has	billed	the
      1       1       1       1 has	been	vocal
      1       1       1       1 has	been	the
      1       1       1       1 has	become	the
      1       1       1       1 has	become	part
      1       1       1       1 has	already	taken
      1       1       1       1 has	about	50
      1       1       1       1 has	a	long
      1       1       1       1 harm	when	it
      1       1       1       1 harm	s	way
      1       1       1       1 harm	s	8
      1       1       1       1 harm	based	on
      1       1       1       1 hardware	tailored	to
      1       1       1       1 Happens	When	Artificial
      1       1       1       1 Hanson	Robotics	at
      1       1       1       1 hands	of	the
      1       1       1       1 hands	comes	in
      1       1       1       1 handle	vast	amounts
      1       1       1       1 Han	the	Robot
      1       1       1       1 Hal	s	glowing
      1       1       1       1 Hackers	will	use
      1       1       1       1 hackers	Source	New
      1       1       1       1 hackers	Investments	into
      1       1       1       1 hackers	Hackers	will
      1       1       1       1 guided	by	artificial
      1       1       1       1 growth	curves	and
      1       1       1       1 Growth	Accenture	2016
      1       1       1       1 grows		
      1       1       1       1 growing	population	can
      1       1       1       1 growing	list	of
      1       1       1       1 groups	differently	there
      1       1       1       1 group	of	related
      1       1       1       1 group	of	14
      1       1       1       1 group	headed	by
      1       1       1       1 group	DeepMind	has
      1       1       1       1 great	hurdle	in
      1       1       1       1 graphics	processing	chips
      1       1       1       1 graphics	of	the
      1       1       1       1 grander	projects	like
      1       1       1       1 Grab	an	iPhone
      1       1       1       1 governors	to	regulate
      1       1       1       1 governments	In	an
      1       1       1       1 governments	and	companies
      1       1       1       1 government	systems	We
      1       1       1       1 government	should	consider
      1       1       1       1 government	services	to
      1       1       1       1 government	organisations	Robots
      1       1       1       1 Government	needs	to
      1       1       1       1 Google	Translate	
      1       1       1       1 Google	s	latest
      1       1       1       1 Google	s	Game
      1       1       1       1 Google	s	A
      1       1       1       1 Google	owned	British
      1       1       1       1 Google	of	Artificial
      1       1       1       1 Google	Microsoft	and
      1       1       1       1 Google	Earlier	this
      1       1       1       1 Google	computer	program
      1       1       1       1 Google	Builds	China
      1       1       1       1 good	rather	than
      1       1       1       1 good	at	Artificial
      1       1       1       1 good	and	bad
      1       1       1       1 going	to	have
      1       1       1       1 Goes	to	the
      1       1       1       1 Goertzel	center	listens
      1       1       1       1 go	wrong	let
      1       1       1       1 Go	with	In
      1       1       1       1 Go	with	Google
      1       1       1       1 go	to	the
      1       1       1       1 Go	to	general
      1       1       1       1 Go	to	Although
      1       1       1       1 go	Sure	A
      1       1       1       1 Go	playing	program
      1       1       1       1 Go	champion	for
      1       1       1       1 glowing		
      1       1       1       1 Global	X	Robotics
      1       1       1       1 global	software	industry
      1       1       1       1 global	scale	These
      1       1       1       1 Global	Risk	MIRI
      1       1       1       1 global	outsourcing	are
      1       1       1       1 Global	health	solutions
      1       1       1       1 Global	2000	companies
      1       1       1       1 give	people	a
      1       1       1       1 Giorgos	Zacharia	the
      1       1       1       1 giants	who	sell
      1       1       1       1 giants	studying	artificial
      1       1       1       1 giants	is	tapping
      1       1       1       1 giant	isn	t
      1       1       1       1 giant	is	presenting
      1       1       1       1 giant	acquired	DeepMind
      1       1       1       1 Getty	Images	Steve
      1       1       1       1 Getty	Images	Robot
      1       1       1       1 get	ready	Oren
      1       1       1       1 get	into	what
      1       1       1       1 get	computers	to
      1       1       1       1 Georgia	Tech	created
      1       1       1       1 george	r	r
      1       1       1       1 genuinely	change	the
      1       1       1       1 genius	keep	it
      1       1       1       1 genetic	investigations	in
      1       1       1       1 general	A	I
      1       1       1       1 gap	between	the
      1       1       1       1 gamut	of	laws
      1       1       1       1 games	from	chess
      1       1       1       1 games	exponential	growth
      1       1       1       1 games		
      1       1       1       1 gamers	in	turbocharged
      1       1       1       1 Game	Playing	A
      1       1       1       1 game	of	thrones
      1       1       1       1 game	known	as
      1       1       1       1 game	By	freeing
      1       1       1       1 G	Rao	a
      1       1       1       1 g	only	facial
      1       1       1       1 futurist	Elon	Musk
      1       1       1       1 futures	Siri	Alexa
      1       1       1       1 futures	Letter	Artificial
      1       1       1       1 Future	proof	How
      1       1       1       1 future	Photo	credit
      1       1       1       1 Future	of	Life
      1       1       1       1 Future	of	Intelligence
      1       1       1       1 future	of	humanity
      1       1       1       1 Future	of	Growth
      1       1       1       1 future	of	AI
      1       1       1       1 Future	Google	s
      1       1       1       1 future	fear	is
      1       1       1       1 further	the	three
      1       1       1       1 funding	A	I
      1       1       1       1 fundamental	risk	to
      1       1       1       1 fundamental	existential	risk
      1       1       1       1 fund	welfare	initiatives
      1       1       1       1 fully	comprehend	in
      1       1       1       1 fully	comprehend	his
      1       1       1       1 fully	comprehend	2009
      1       1       1       1 full	gamut	of
      1       1       1       1 fueled	gap	between
      1       1       1       1 frontier	That	s
      1       1       1       1 front	lines	of
      1       1       1       1 from	Washington	professor
      1       1       1       1 from	the	source
      1       1       1       1 from	the	iconic
      1       1       1       1 from	the	dependent
      1       1       1       1 from	the	Beneficial
      1       1       1       1 From	SIRI	to
      1       1       1       1 from	science	fiction
      1       1       1       1 from	robots	artificial
      1       1       1       1 from	our	best
      1       1       1       1 from	other	individuals
      1       1       1       1 from	intelligence	so
      1       1       1       1 from	Indeed	So
      1       1       1       1 from	increased	adoption
      1       1       1       1 from	humans	or
      1       1       1       1 from	human	teaching
      1       1       1       1 from	history	is
      1       1       1       1 from	French	company
      1       1       1       1 from	Facebook	s
      1       1       1       1 from	different	carriers
      1       1       1       1 from	corporations	and
      1       1       1       1 from	complete	I
      1       1       1       1 from	chess	and
      1       1       1       1 from	artificial	intelligence
      1       1       1       1 from	After	all
      1       1       1       1 from	a	Wired
      1       1       1       1 from	a	specific
      1       1       1       1 from	a	dependence
      1       1       1       1 from	1	2
      1       1       1       1 Friday	Christof	Koch
      1       1       1       1 French	company	Aldebaran
      1       1       1       1 freeing	artificial	intelligence
      1       1       1       1 free	tool	was
      1       1       1       1 Frank	Artificial	intelligence
      1       1       1       1 Francois	Mori	AP
      1       1       1       1 framework	for	developers
      1       1       1       1 founders	of	the
      1       1       1       1 founder	of	a
      1       1       1       1 founder	Mark	Zuckerberg
      1       1       1       1 founder	and	former
      1       1       1       1 founder	and	chief
      1       1       1       1 founded	in	
      1       1       1       1 found		
      1       1       1       1 Forward	SundayReview	Artificial
      1       1       1       1 Forward	Artificial	Intelligence
      1       1       1       1 forum	of	an
      1       1       1       1 former	President	Barack
      1       1       1       1 former	chief	executive
      1       1       1       1 form	of	artificial
      1       1       1       1 forecast	Humans	Need
      1       1       1       1 Ford	puts	1
      1       1       1       1 forced	to	negotiate
      1       1       1       1 for	workers	to
      1       1       1       1 for	What	is
      1       1       1       1 for	various	types
      1       1       1       1 for	two	Hassabis
      1       1       1       1 for	travelers	use
      1       1       1       1 for	the	Future
      1       1       1       1 for	the	first
      1       1       1       1 for	the	companies
      1       1       1       1 for	the	better
      1       1       1       1 For	that	security
      1       1       1       1 for	Robust	and
      1       1       1       1 for	reasons	as
      1       1       1       1 for	people	in
      1       1       1       1 for	new	computing
      1       1       1       1 for	more	tips
      1       1       1       1 for	more	than
      1       1       1       1 for	more	savings
      1       1       1       1 for	millions	of
      1       1       1       1 for	letting	the
      1       1       1       1 for	Kayak	artificial
      1       1       1       1 for	jobs	involving
      1       1       1       1 for	it	It
      1       1       1       1 for	HyperScience	an
      1       1       1       1 for	hundreds	of
      1       1       1       1 for	humans	in
      1       1       1       1 for	humanity	There
      1       1       1       1 for	human	minds
      1       1       1       1 for	human	civilization
      1       1       1       1 for	Global	2000
      1       1       1       1 for	existing	drugs
      1       1       1       1 For	example	there
      1       1       1       1 for	example	the
      1       1       1       1 For	example	John
      1       1       1       1 for	example	DeepDrumpf
      1       1       1       1 for	evil	purposes
      1       1       1       1 for	everyone	even
      1       1       1       1 for	discussion	Whether
      1       1       1       1 for	developers	intended
      1       1       1       1 for	deeply	understanding
      1       1       1       1 for	certain	types
      1       1       1       1 for	breakthroughs	and
      1       1       1       1 for	Beneficial	Artificial
      1       1       1       1 for	avoiding	A
      1       1       1       1 for	all	its
      1       1       1       1 for	advice	on
      1       1       1       1 for	a	travel
      1       1       1       1 for	a	commission
      1       1       1       1 for	2017	Source
      1       1       1       1 footing	works	Integrating
      1       1       1       1 fool	students	The
      1       1       1       1 follows	the	programmer
      1       1       1       1 focused	on	teaching
      1       1       1       1 focus	of	international
      1       1       1       1 fly	Yes	but
      1       1       1       1 flush	true	Investments
      1       1       1       1 flush	true	Hackers
      1       1       1       1 flourish	like	never
      1       1       1       1 floor	or	in
      1       1       1       1 flights	from	different
      1       1       1       1 flexibility	of	human
      1       1       1       1 fish	Mr	Barrat
      1       1       1       1 first	time	last
      1       1       1       1 First	most	of
      1       1       1       1 first	more	near
      1       1       1       1 first	explain	what
      1       1       1       1 First	an	A
      1       1       1       1 firmly	Tags	artificial
      1       1       1       1 Fire	book	the
      1       1       1       1 finish	the	next
      1       1       1       1 find	the	solutions
      1       1       1       1 finally	solve	the
      1       1       1       1 final	and	perhaps
      1       1       1       1 films	Hal	s
      1       1       1       1 figures	out	what
      1       1       1       1 figured	it	out
      1       1       1       1 fields	we	don
      1       1       1       1 field	For	example
      1       1       1       1 fiction	often	portrays
      1       1       1       1 fiction	Nevertheless	even
      1       1       1       1 fiction	films	Hal
      1       1       1       1 fi	thriller	People
      1       1       1       1 fewer	hours	than
      1       1       1       1 few	hands	comes
      1       1       1       1 few	examples	of
      1       1       1       1 few	A	version
      1       1       1       1 Feed	millions	The
      1       1       1       1 Feed	Future	of
      1       1       1       1 Feed	Existential	Risk
      1       1       1       1 feasible	in	the
      1       1       1       1 fear	Silicon	Valley
      1       1       1       1 fear	is	the
      1       1       1       1 fear	however	that
      1       1       1       1 fastest	but	because
      1       1       1       1 faster	than	most
      1       1       1       1 faster	than	a
      1       1       1       1 fashion	When	they
      1       1       1       1 Fashion	Style	Artificial
      1       1       1       1 fascinating	controversies	where
      1       1       1       1 far	Photo	Francois
      1       1       1       1 far	from	complete
      1       1       1       1 far	12	Unemployment
      1       1       1       1 familiar	with	Think
      1       1       1       1 fake	tweets	they
      1       1       1       1 fake	news	videos
      1       1       1       1 factory	floor	or
      1       1       1       1 factors	is	likely
      1       1       1       1 Factor	in	Global
      1       1       1       1 fact	the	most
      1       1       1       1 fact	have	been
      1       1       1       1 facial	1	The
      1       1       1       1 Facebook	s	artificial
      1       1       1       1 Facebook	Project	s
      1       1       1       1 Facebook	Microsoft	Amazon
      1       1       1       1 Facebook	may	in
      1       1       1       1 Facebook	Google	Microsoft
      1       1       1       1 Facebook	founder	Mark
      1       1       1       1 Facebook	Artificial	Intelligence
      1       1       1       1 face	two	insurmountable
      1       1       1       1 F	B	I
      1       1       1       1 Extinction	Risk	To
      1       1       1       1 extent	their	content
      1       1       1       1 extensive	use	of
      1       1       1       1 exponential	growth	curves
      1       1       1       1 Explosion	and	Machine
      1       1       1       1 exploration	A	I
      1       1       1       1 exploding	with	microdiscoveries
      1       1       1       1 explode	but	it
      1       1       1       1 explicit	approval	from
      1       1       1       1 explains	deep	learning
      1       1       1       1 explain	what	artificial
      1       1       1       1 explain	it	Grab
      1       1       1       1 experts	for	advice
      1       1       1       1 expert	about	the
      1       1       1       1 experiments	like	Jill
      1       1       1       1 experiment	was	to
      1       1       1       1 experiment	as	an
      1       1       1       1 experience	with	both
      1       1       1       1 expansion	by	2020
      1       1       1       1 expanding	operations	to
      1       1       1       1 existing	drugs	could
      1       1       1       1 existing	cyberattack	efforts
      1       1       1       1 existential	threat	to
      1       1       1       1 Existential	Risk	Stuart
      1       1       1       1 existential	risk	for
      1       1       1       1 Existential	Risk	Artificial
      1       1       1       1 existence	of	human
      1       1       1       1 exist	yet	For
      1       1       1       1 exist	are	improving
      1       1       1       1 executives	to	program
      1       1       1       1 executive	wrote	that
      1       1       1       1 executive	of	the
      1       1       1       1 executive	of	Nervana
      1       1       1       1 executive	of	DeepMind
      1       1       1       1 excuse	illegal	behavior
      1       1       1       1 exchange	for	letting
      1       1       1       1 exceptional	ability	to
      1       1       1       1 excel	sheets	Humans
      1       1       1       1 examples	of	artificial
      1       1       1       1 examples	of	AI
      1       1       1       1 Examples	compassionate	medical
      1       1       1       1 example	there	are
      1       1       1       1 example	the	safety
      1       1       1       1 example	John	McCarthy
      1       1       1       1 example	DeepDrumpf	a
      1       1       1       1 examine	the	impact
      1       1       1       1 exactly	constitutes	harm
      1       1       1       1 evil	purposes	Though
      1       1       1       1 everywhere	Yet	for
      1       1       1       1 Everything	we	love
      1       1       1       1 everyone	even	hackers
      1       1       1       1 every	day	Defined
      1       1       1       1 ever	At	the
      1       1       1       1 event	Robotics	Ben
      1       1       1       1 event	in	New
      1       1       1       1 event	as	its
      1       1       1       1 Even	the	largest
      1       1       1       1 Even	seemingly	innocuous
      1       1       1       1 even	more	Image
      1       1       1       1 even	know	exist
      1       1       1       1 even	hackers	Source
      1       1       1       1 even	hackers	Investments
      1       1       1       1 even	hackers	Hackers
      1       1       1       1 even	A	I
      1       1       1       1 Etzioni	Op	Ed
      1       1       1       1 Etzioni	is	the
      1       1       1       1 Etzioni	characterized	our
      1       1       1       1 ethics	privacy	
      1       1       1       1 Ethics	Luke	Muehlhauser
      1       1       1       1 Ethics	and	Artificial
      1       1       1       1 ethical	responsibility	because
      1       1       1       1 ETF	U	S
      1       1       1       1 ETF	invests	in
      1       1       1       1 ETF	BOTZ	1
      1       1       1       1 etc	But	an
      1       1       1       1 essentially	owning	those
      1       1       1       1 essentially	become	that
      1       1       1       1 especially	when	it
      1       1       1       1 especially	nuanced	or
      1       1       1       1 Eric	Horvitz	Max
      1       1       1       1 Era	So	when
      1       1       1       1 Era	June	6
      1       1       1       1 equal	footing	works
      1       1       1       1 envision	A	I
      1       1       1       1 environment	and	need
      1       1       1       1 entrepreneur	Elon	Musk
      1       1       1       1 entrap	people	into
      1       1       1       1 entrant	is	Aeromexico
      1       1       1       1 Entirely	on	Its
      1       1       1       1 entirely	bleak	The
      1       1       1       1 entire	compendium	of
      1       1       1       1 entertaining	if	not
      1       1       1       1 enough	to	AI
      1       1       1       1 enough	successful	A
      1       1       1       1 enormous	profits	for
      1       1       1       1 enormous	engagement	of
      1       1       1       1 enlisting	an	Obama
      1       1       1       1 enhance	these	benefits
      1       1       1       1 engines	Courtesy	of
      1       1       1       1 engineers	weren	t
      1       1       1       1 engineers	to	specialize
      1       1       1       1 engineering	breakthroughs	that
      1       1       1       1 engine	That	includes
      1       1       1       1 engine	giant	acquired
      1       1       1       1 engagement	of	the
      1       1       1       1 engage	in	increasingly
      1       1       1       1 engage	in	cyberbullying
      1       1       1       1 engage	in	common
      1       1       1       1 enabling	and	accelerating
      1       1       1       1 employment	prospects	for
      1       1       1       1 employing	TV	executives
      1       1       1       1 employers	are	calling
      1       1       1       1 emerging	ethics	of
      1       1       1       1 emerge	if	slowly
      1       1       1       1 else	they	are
      1       1       1       1 else	explain	it
      1       1       1       1 Elon	Musk	says
      1       1       1       1 eliminate	many	jobs
      1       1       1       1 elicit	record	and
      1       1       1       1 elegant	but	ambiguous
      1       1       1       1 efforts	things	like
      1       1       1       1 efforts	push	beyond
      1       1       1       1 efforts	into	artificial
      1       1       1       1 efforts	at	A
      1       1       1       1 effort	to	fool
      1       1       1       1 effects	of	artificial
      1       1       1       1 effects	of	an
      1       1       1       1 educating	or	retraining
      1       1       1       1 Ed	Sept	2
      1       1       1       1 ed	appears	in
      1       1       1       1 Economy	White	House
      1       1       1       1 economic	One	way
      1       1       1       1 economic	liability	because
      1       1       1       1 economic	inequality	on
      1       1       1       1 economic	expansion	by
      1       1       1       1 economic	dependent	taking
      1       1       1       1 economic	asset	as
      1       1       1       1 easy	to	learn
      1       1       1       1 easily	could	Photo
      1       1       1       1 easily	could	less
      1       1       1       1 easily	could	3
      1       1       1       1 easily	A	captivating
      1       1       1       1 easier	Watson	used
      1       1       1       1 easier	for	everyone
      1       1       1       1 earnings	analyses	I
      1       1       1       1 early	days	of
      1       1       1       1 Earlier	this	year
      1       1       1       1 E2	of	the
      1       1       1       1 e	g	only
      1       1       1       1 e	5	for
      1       1       1       1 dystopian	views	of
      1       1       1       1 during	a	discussion
      1       1       1       1 during	a	demonstration
      1       1       1       1 Dubbed	AlphaGo	Zero
      1       1       1       1 drugs	could	work
      1       1       1       1 DRIVING	Ford	puts
      1       1       1       1 drives	Racing	to
      1       1       1       1 driver	of	economic
      1       1       1       1 driven	assistants	Today
      1       1       1       1 driven	A	I
      1       1       1       1 drive	through	red
      1       1       1       1 dredging	through	data
      1       1       1       1 drawn	from	science
      1       1       1       1 drastically	reduce	crime
      1       1       1       1 drastically	Image	14
      1       1       1       1 dramatically	improved	Google
      1       1       1       1 down	progress	on
      1       1       1       1 down	my	spine
      1       1       1       1 down	Main	Street
      1       1       1       1 down	and	bottom
      1       1       1       1 doors	to	A
      1       1       1       1 door	power	meetings
      1       1       1       1 done	making	improvements
      1       1       1       1 Donald	Trump	on
      1       1       1       1 don	t	want
      1       1       1       1 don	t	just
      1       1       1       1 don	t	it
      1       1       1       1 don	t	have
      1       1       1       1 don	t	even
      1       1       1       1 dominate	the	world
      1       1       1       1 dominate	in	developed
      1       1       1       1 dominant	theme	at
      1       1       1       1 domains	not	just
      1       1       1       1 domain	thinking	for
      1       1       1       1 doesn	t	swim
      1       1       1       1 doesn	t	share
      1       1       1       1 does	that	mean
      1       1       1       1 does	it	will
      1       1       1       1 Does	it	1920_x_1080_iOSA
      1       1       1       1 Does	an	airplane
      1       1       1       1 doctors	If	we
      1       1       1       1 do	you	imagine
      1       1       1       1 do	worse	than
      1       1       1       1 do	the	rest
      1       1       1       1 do	that	society
      1       1       1       1 do	such	as
      1       1       1       1 do	something	devastating
      1       1       1       1 do	so	then
      1       1       1       1 do	research	under
      1       1       1       1 do	now	concentrated
      1       1       1       1 do	now	and
      1       1       1       1 do	More	promising
      1       1       1       1 do	certain	things
      1       1       1       1 divulge	to	a
      1       1       1       1 divided	on	the
      1       1       1       1 diversified	ETF	invests
      1       1       1       1 distraction	needs	14
      1       1       1       1 disruption	for	people
      1       1       1       1 displaced	This	seems
      1       1       1       1 displaced	So	if
      1       1       1       1 dismissed	A	I
      1       1       1       1 discussion	Whether	or
      1       1       1       1 discussion	forum	of
      1       1       1       1 discussion	about	the
      1       1       1       1 discusses	robotics	artificial
      1       1       1       1 discusses	AI	s
      1       1       1       1 discoveries	and	engineering
      1       1       1       1 disclose	that	it
      1       1       1       1 disclose	confidential	information
      1       1       1       1 dirty	little	secret
      1       1       1       1 director	of	National
      1       1       1       1 directly	to	the
      1       1       1       1 differing	opinions	of
      1       1       1       1 differently	there	will
      1       1       1       1 different	groups	differently
      1       1       1       1 different	carriers	for
      1       1       1       1 die	by	the
      1       1       1       1 did	something	that
      1       1       1       1 did	it	should
      1       1       1       1 dialogue	with	real
      1       1       1       1 dialog	driven	assistants
      1       1       1       1 dialog	agents	were
      1       1       1       1 diagnosis	and	genetic
      1       1       1       1 diagnose	cancer	In
      1       1       1       1 developments	in	artificial
      1       1       1       1 developments	in	A
      1       1       1       1 development	we	may
      1       1       1       1 Development	The	Ethics
      1       1       1       1 development	Artificial	Intelligence
      1       1       1       1 developing	world	While
      1       1       1       1 developing	the	system
      1       1       1       1 developing	markets	while
      1       1       1       1 developing	field	of
      1       1       1       1 developing	artificial	intelligence
      1       1       1       1 developers	Its	artificial
      1       1       1       1 developers	intended	to
      1       1       1       1 developed	their	own
      1       1       1       1 developed	markets	and
      1       1       1       1 developed	by	the
      1       1       1       1 develop	further	the
      1       1       1       1 Develop	Artificial	Intelligence
      1       1       1       1 develop	an	artificial
      1       1       1       1 devastating	Autonomous	weapons
      1       1       1       1 determine	whether	an
      1       1       1       1 designed	to	perform
      1       1       1       1 designed	to	help
      1       1       1       1 depravity	then	A
      1       1       1       1 dependent	taking	in
      1       1       1       1 dependent	country	s
      1       1       1       1 dependence	on	human
      1       1       1       1 Denver	Post	IBM
      1       1       1       1 Denver	Post	How
      1       1       1       1 Denver	Post	China
      1       1       1       1 denial	of	service
      1       1       1       1 demonstration	of	artificial
      1       1       1       1 Demis	Hassabis	founder
      1       1       1       1 demand	for	new
      1       1       1       1 delivering	better	performance
      1       1       1       1 Defined	artificial	intelligence
      1       1       1       1 define	and	rein
      1       1       1       1 defeated	Lee	Sedol
      1       1       1       1 DeepMind	the	Google
      1       1       1       1 DeepMind	said	in
      1       1       1       1 DeepMind	s	AlphaGo
      1       1       1       1 DeepMind	has	unveiled
      1       1       1       1 DeepMind	Google	s
      1       1       1       1 DeepMind	a	neuroscience
      1       1       1       1 deeply	understanding	the
      1       1       1       1 DeepDrumpf	a	bot
      1       1       1       1 Deep	Safety	NIPS
      1       1       1       1 deep	learning	in
      1       1       1       1 declines	That	s
      1       1       1       1 decisions	And	then
      1       1       1       1 decades	in	the
      1       1       1       1 decade	processors	But
      1       1       1       1 decade	and	this
      1       1       1       1 Debenport	Washington	professor
      1       1       1       1 Debenport	Getty	Images
      1       1       1       1 dealmaking	to	the
      1       1       1       1 Dealmakers	At	TheWrap
      1       1       1       1 deal	with	the
      1       1       1       1 days	of	the
      1       1       1       1 days	but	the
      1       1       1       1 day	Defined	artificial
      1       1       1       1 data	you	have
      1       1       1       1 data	world	leader
      1       1       1       1 data	in	search
      1       1       1       1 data	from	Indeed
      1       1       1       1 data	Feed	millions
      1       1       1       1 data	driven	A
      1       1       1       1 data	center	strategy
      1       1       1       1 data	center	launch
      1       1       1       1 data	center	business
      1       1       1       1 data	and	offer
      1       1       1       1 Data	and	cloud
      1       1       1       1 Dangers	Strategies	Life
      1       1       1       1 dangers	of	artificial
      1       1       1       1 dangerous	than	nukes
      1       1       1       1 cybersecurity		
      1       1       1       1 cyberbullying	stock	manipulation
      1       1       1       1 cyberattack	efforts	things
      1       1       1       1 cyber	attacks	are
      1       1       1       1 curves	and	artificial
      1       1       1       1 current	approaches	to
      1       1       1       1 culture	from	the
      1       1       1       1 cross	domain	thinking
      1       1       1       1 critical	for	deeply
      1       1       1       1 crimes	We	don
      1       1       1       1 crime	to	spike
      1       1       1       1 Crime	reduction	If
      1       1       1       1 crime	by	reducing
      1       1       1       1 crime	as	individual
      1       1       1       1 crime	as	a
      1       1       1       1 crime	A	I
      1       1       1       1 Crest	is	tailored
      1       1       1       1 credit	Shutterstock	screen
      1       1       1       1 creativity	planning	and
      1       1       1       1 creating	demand	for
      1       1       1       1 created	Jill	Watson
      1       1       1       1 created	by	A
      1       1       1       1 created	an	A
      1       1       1       1 created	all	this
      1       1       1       1 create	the	best
      1       1       1       1 create	maps	of
      1       1       1       1 create	jobs	in
      1       1       1       1 cracking	roads	with
      1       1       1       1 cover	private	corporate
      1       1       1       1 Courtesy	of	Hopper
      1       1       1       1 country	supplies	most
      1       1       1       1 country	s	users
      1       1       1       1 country	s	economic
      1       1       1       1 country	or	corporation
      1       1       1       1 countries	will	not
      1       1       1       1 countries	essentially	owning
      1       1       1       1 couldn	t	understand
      1       1       1       1 could	work	for
      1       1       1       1 could	transform	jobs
      1       1       1       1 could	possibly	go
      1       1       1       1 could	Photo	Steve
      1       1       1       1 could	less	Washington
      1       1       1       1 could	kill	us
      1       1       1       1 could	genuinely	change
      1       1       1       1 could	finally	solve
      1       1       1       1 could	easily	A
      1       1       1       1 could	drastically	reduce
      1       1       1       1 could	drastically	Image
      1       1       1       1 could	do	worse
      1       1       1       1 could	become	an
      1       1       1       1 could	be	indistinguishable
      1       1       1       1 could	3	Global
      1       1       1       1 Cortana	and	Watson
      1       1       1       1 correlations	humans	are
      1       1       1       1 corporations	and	governments
      1       1       1       1 corporation	Even	the
      1       1       1       1 corporate	earnings	analyses
      1       1       1       1 corporate	and	government
      1       1       1       1 corners	artificial	intelligence
      1       1       1       1 cornered	Being	a
      1       1       1       1 cornered	_taboola	push
      1       1       1       1 conversation	is	taking
      1       1       1       1 convention	center	Han
      1       1       1       1 controversies	where	the
      1       1       1       1 contrary	the	A
      1       1       1       1 continue	to	profit
      1       1       1       1 content	The	free
      1       1       1       1 consumers	infatuated	with
      1       1       1       1 constrained	by	limits
      1       1       1       1 constitutes	harm	when
      1       1       1       1 consider	the	implications
      1       1       1       1 consider	regulations	for
      1       1       1       1 consequential	challenge	of
      1       1       1       1 consequences	if	engineers
      1       1       1       1 consecutive	quarter	of
      1       1       1       1 connected	robotic	systems
      1       1       1       1 confuses	A	I
      1       1       1       1 confidential	information	without
      1       1       1       1 confidential	information	Think
      1       1       1       1 Conference	Isaac	Lawrence
      1       1       1       1 Conference	in	Hong
      1       1       1       1 conference	in	Asilomar
      1       1       1       1 conference	at	the
      1       1       1       1 concrete	basis	for
      1       1       1       1 concierges	professions	requiring
      1       1       1       1 concerns	over	the
      1       1       1       1 Concerns	of	an
      1       1       1       1 concerns	and	risks
      1       1       1       1 concerns	about	its
      1       1       1       1 concern	situations	that
      1       1       1       1 concentrated	in	relatively
      1       1       1       1 computing	power	to
      1       1       1       1 computing	hardware	tailored
      1       1       1       1 computing	applications	that
      1       1       1       1 computers	to	think
      1       1       1       1 computers	to	recognize
      1       1       1       1 computers	have	proved
      1       1       1       1 Computer	Science	at
      1       1       1       1 computer	revolution	the
      1       1       1       1 computer	program	that
      1       1       1       1 Computer	program	guided
      1       1       1       1 computer	no	longer
      1       1       1       1 comprise	mostly	displaced
      1       1       1       1 comprehend	it	all
      1       1       1       1 comprehend	in	his
      1       1       1       1 comprehend	his	her
      1       1       1       1 comprehend	2009	in
      1       1       1       1 complex	for	human
      1       1       1       1 complex	AI	play
      1       1       1       1 complete	I	introduce
      1       1       1       1 Complacency	on	Superintelligent
      1       1       1       1 competitive	landscape	the
      1       1       1       1 competition	the	report
      1       1       1       1 compendium	of	medical
      1       1       1       1 compassionate	medical	service
      1       1       1       1 company	specialising	in
      1       1       1       1 company	share	their
      1       1       1       1 company	s	Stacy
      1       1       1       1 company	like	Uber
      1       1       1       1 company	just	reported
      1       1       1       1 company	I	would
      1       1       1       1 company	has	billed
      1       1       1       1 company	developing	the
      1       1       1       1 company	based	in
      1       1       1       1 company	and	Facebook
      1       1       1       1 company	Aldebaran	If
      1       1       1       1 companies	to	subsidize
      1       1       1       1 companies	that	potentially
      1       1       1       1 companies	that	develop
      1       1       1       1 companies	that	adopt
      1       1       1       1 companies	should	do
      1       1       1       1 companies	put	together
      1       1       1       1 companies	hospitals	and
      1       1       1       1 companies	continue	to
      1       1       1       1 companies	and	government
      1       1       1       1 common	sense	reasoning
      1       1       1       1 common	names	they
      1       1       1       1 common	law	should
      1       1       1       1 committing	crimes	We
      1       1       1       1 committee	meeting	on
      1       1       1       1 Committee	appointed	to
      1       1       1       1 commit	a	figured
      1       1       1       1 commission	to	examine
      1       1       1       1 commission	needed	to
      1       1       1       1 coming	Society	needs
      1       1       1       1 coming	Robotics	artificial
      1       1       1       1 coming	from	After
      1       1       1       1 coming	but	what
      1       1       1       1 comes	to	A
      1       1       1       1 comes	in	using
      1       1       1       1 comes	in	This
      1       1       1       1 comes	in	It
      1       1       1       1 come	to	dominate
      1       1       1       1 combine	flights	from
      1       1       1       1 combinations	for	existing
      1       1       1       1 combination	of	factors
      1       1       1       1 com	Investments	into
      1       1       1       1 COM	14	Space
      1       1       1       1 colossally	hyped	these
      1       1       1       1 collaboration	with	doctors
      1       1       1       1 cognition	remains	object
      1       1       1       1 code	but	the
      1       1       1       1 code	and	how
      1       1       1       1 co	founded	in
      1       1       1       1 cloud	computing	applications
      1       1       1       1 cloud	and	artificial
      1       1       1       1 closed	door	power
      1       1       1       1 close	too	many
      1       1       1       1 Climatecentral	org	Hackers
      1       1       1       1 clicker	games	exponential
      1       1       1       1 clearly	labeled	as
      1       1       1       1 clearly	disclose	that
      1       1       1       1 clear	that	A
      1       1       1       1 Claude	Shannon	wrote
      1       1       1       1 class	on	artificial
      1       1       1       1 clash	over	artificial
      1       1       1       1 Clapper	the	director
      1       1       1       1 claiming	it	will
      1       1       1       1 claim	that	our
      1       1       1       1 civilization	Video	provided
      1       1       1       1 civilization	stem	from
      1       1       1       1 civilization	is	a
      1       1       1       1 civilization	flourish	like
      1       1       1       1 civilization		
      1       1       1       1 city	s	convention
      1       1       1       1 chunks	of	the
      1       1       1       1 Christof	Koch	and
      1       1       1       1 chose	not	to
      1       1       1       1 choose	to	work
      1       1       1       1 chips	used	by
      1       1       1       1 chips	are	known
      1       1       1       1 chips	are	delivering
      1       1       1       1 China	Workforce	to
      1       1       1       1 China	will	overtake
      1       1       1       1 China	which	will
      1       1       1       1 China	or	the
      1       1       1       1 China	artificial	intelligence
      1       1       1       1 China	and	India
      1       1       1       1 China	aims	to
      1       1       1       1 China	A	I
      1       1       1       1 China		
      1       1       1       1 child	may	inadvertently
      1       1       1       1 child	John	McCarthy
      1       1       1       1 chief	technology	officer
      1       1       1       1 chief	executive	wrote
      1       1       1       1 chess	and	Go
      1       1       1       1 check		
      1       1       1       1 chatbots	the	social
      1       1       1       1 chatbots	developed	their
      1       1       1       1 characterized	our	experiment
      1       1       1       1 channels	Zone	TV
      1       1       1       1 channels	Submit	Submit
      1       1       1       1 changing	competitive	landscape
      1       1       1       1 change	the	world
      1       1       1       1 change	the	way
      1       1       1       1 Chang	e	5
      1       1       1       1 champion	for	the
      1       1       1       1 challenges	are	too
      1       1       1       1 challenge	of	A
      1       1       1       1 challenge	any	robot
      1       1       1       1 certain	types	of
      1       1       1       1 certain	to	alter
      1       1       1       1 certain	things	like
      1       1       1       1 certain	occupations	with
      1       1       1       1 certain	jobs	artisans
      1       1       1       1 central	processor	Accelerators
      1       1       1       1 centers	now	utilize
      1       1       1       1 center	strategy	at
      1       1       1       1 center	stage	at
      1       1       1       1 center	listens	during
      1       1       1       1 center	launch	in
      1       1       1       1 center	Han	the
      1       1       1       1 center	business	The
      1       1       1       1 center	business	is
      1       1       1       1 CBI	Britain	s
      1       1       1       1 CBI	Artificial	intelligence
      1       1       1       1 caution	The	problem
      1       1       1       1 causes	public	anxiety
      1       1       1       1 causes	of	crime
      1       1       1       1 catch	the	A
      1       1       1       1 casting	such	a
      1       1       1       1 cases	people	will
      1       1       1       1 case	of	bots
      1       1       1       1 case	it	s
      1       1       1       1 carriers	for	more
      1       1       1       1 careers	Artificial	intelligence
      1       1       1       1 career	in	artificial
      1       1       1       1 captivating	conversation	is
      1       1       1       1 capitalist	will	swarm
      1       1       1       1 capable	of	enabling
      1       1       1       1 cannot	retain	or
      1       1       1       1 cannot	do	that
      1       1       1       1 cancer	research	A
      1       1       1       1 cancer	In	all
      1       1       1       1 cancer	A	I
      1       1       1       1 Can	we	keep
      1       1       1       1 can	we	enhance
      1       1       1       1 Can	we	build
      1       1       1       1 can	this	genius
      1       1       1       1 can	t	help
      1       1       1       1 can	t	claim
      1       1       1       1 can	t	be
      1       1       1       1 can	see	where
      1       1       1       1 can	reach	whether
      1       1       1       1 can	do	such
      1       1       1       1 can	do	certain
      1       1       1       1 can	create	jobs
      1       1       1       1 can	comprehend	it
      1       1       1       1 can	become	Abstractionsalphagoartificial
      1       1       1       1 can	be	an
      1       1       1       1 Can	artificial	intelligence
      1       1       1       1 can	also	increase
      1       1       1       1 calling	for	a
      1       1       1       1 called	neural	networks
      1       1       1       1 called	artificial	intelligence
      1       1       1       1 California	Berkeley	Russell
      1       1       1       1 CA	Jaan	Tallinn
      1       1       1       1 by	yet	develop
      1       1       1       1 by	two	recent
      1       1       1       1 by	the	millions
      1       1       1       1 by	the	Allen
      1       1       1       1 by	some	of
      1       1       1       1 by	side	with
      1       1       1       1 by	reducing	the
      1       1       1       1 by	playing	against
      1       1       1       1 by	Oren	Etzioni
      1       1       1       1 by	one	of
      1       1       1       1 by	Newsy	Newslook
      1       1       1       1 by	Naveen	G
      1       1       1       1 by	Luke	Muehlhauser
      1       1       1       1 by	limits	of
      1       1       1       1 by	itself	within
      1       1       1       1 by	having	its
      1       1       1       1 by	Hanson	Robotics
      1       1       1       1 by	gamers	in
      1       1       1       1 By	freeing	artificial
      1       1       1       1 by	Facebook	Google
      1       1       1       1 by	analyzing	huge
      1       1       1       1 by	almost	500
      1       1       1       1 by	A	I
      1       1       1       1 by	2020	according
      1       1       1       1 But	Why	on
      1       1       1       1 But	Why	by
      1       1       1       1 but	what	does
      1       1       1       1 But	what	about
      1       1       1       1 but	the	outlook
      1       1       1       1 but	the	life
      1       1       1       1 but	the	dirty
      1       1       1       1 But	shouldn	t
      1       1       1       1 but	rather	a
      1       1       1       1 but	not	like
      1       1       1       1 But	McGouldrick	may
      1       1       1       1 But	maybe	not
      1       1       1       1 But	its	graphics
      1       1       1       1 but	it	will
      1       1       1       1 but	it	might
      1       1       1       1 but	it	doesn
      1       1       1       1 But	if	you
      1       1       1       1 But	I	ll
      1       1       1       1 But	here	too
      1       1       1       1 but	far	from
      1       1       1       1 but	because	we
      1       1       1       1 But	an	advanced
      1       1       1       1 but	ambiguous	What
      1       1       1       1 but	advanced	intelligent
      1       1       1       1 but	A	I
      1       1       1       1 bust	Venture	capitalist
      1       1       1       1 bust	Investments	into
      1       1       1       1 bust	Image	23
      1       1       1       1 businesses	will	dominate
      1       1       1       1 businesses	to	fund
      1       1       1       1 business	with	talent
      1       1       1       1 business	The	company
      1       1       1       1 business	is	taking
      1       1       1       1 Builds	China	Workforce
      1       1       1       1 building	artificial	intelligence
      1       1       1       1 build	on	those
      1       1       1       1 build	Google	Earlier
      1       1       1       1 build	autonomous	weapons
      1       1       1       1 build	an	artificial
      1       1       1       1 BST	In	the
      1       1       1       1 BST	An	artificial
      1       1       1       1 broad	net	he
      1       1       1       1 British	artificial	intelligence
      1       1       1       1 Britain	s	biggest
      1       1       1       1 bring	about	the
      1       1       1       1 breathlessly	tell	you
      1       1       1       1 breakthroughs	This	is
      1       1       1       1 breakthroughs	that	will
      1       1       1       1 breakthroughs	and	build
      1       1       1       1 breakthrough	removes	a
      1       1       1       1 breakthrough	in	developing
      1       1       1       1 breakthrough	for	artificial
      1       1       1       1 break	into	the
      1       1       1       1 brain	Will	it
      1       1       1       1 box	Science	Friday
      1       1       1       1 BOTZ	26	18
      1       1       1       1 BOTZ	1	59
      1       1       1       1 bottom	up	knowledge
      1       1       1       1 bots	computer	programs
      1       1       1       1 both	within	and
      1       1       1       1 both	the	cloud
      1       1       1       1 both	models	having
      1       1       1       1 both	as	an
      1       1       1       1 bot	that	humorously
      1       1       1       1 bot	known	as
      1       1       1       1 Bostrom	on	Artificial
      1       1       1       1 BOSTON	IBM	is
      1       1       1       1 boost	performance	The
      1       1       1       1 books	game	of
      1       1       1       1 booking	engines	Courtesy
      1       1       1       1 booking	engine	That
      1       1       1       1 book	the	series
      1       1       1       1 book	Filed	under
      1       1       1       1 book	August	29
      1       1       1       1 book	artificial	intelligence
      1       1       1       1 book	45	111
      1       1       1       1 book	35	662
      1       1       1       1 book		
      1       1       1       1 body	processes	etc
      1       1       1       1 board	game	of
      1       1       1       1 board	game	known
      1       1       1       1 bO3beFYDEeeEC1EgJjGdpw	Hopper	and
      1       1       1       1 bleak	The	Assistant
      1       1       1       1 bird	Artificial	intelligence
      1       1       1       1 Biotechnology	benefits	and
      1       1       1       1 biomedical	scientist	Computer
      1       1       1       1 billion	industry	Comments
      1       1       1       1 billion	industry	China
      1       1       1       1 billion	in	stealth
      1       1       1       1 billed	the	event
      1       1       1       1 biggest	employers	are
      1       1       1       1 biggest	data	center
      1       1       1       1 Big	Leaps	This
      1       1       1       1 big	issue	He
      1       1       1       1 Big	Data	and
      1       1       1       1 bid	seeks	59
      1       1       1       1 Biases	What	do
      1       1       1       1 beyond	the	limitations
      1       1       1       1 Beyond	that	we
      1       1       1       1 between	visionary	inventor
      1       1       1       1 between	the	haves
      1       1       1       1 between	nations	Or
      1       1       1       1 better	your	product
      1       1       1       1 better	the	more
      1       1       1       1 better	space	travel
      1       1       1       1 better	performance	on
      1       1       1       1 bets	on	the
      1       1       1       1 betrayed	Anne	Frank
      1       1       1       1 bet	they	would
      1       1       1       1 bet	is	to
      1       1       1       1 best	practices	for
      1       1       1       1 best	player	of
      1       1       1       1 best	human	values
      1       1       1       1 best	bet	is
      1       1       1       1 best	at	being
      1       1       1       1 best	A	I
      1       1       1       1 Bernstein	Research	said
      1       1       1       1 Berkeley	Russell	is
      1       1       1       1 benefits	with	artificial
      1       1       1       1 Benefits	Risks	of
      1       1       1       1 benefits	of	civilization
      1       1       1       1 benefit	from	increased
      1       1       1       1 Beneficial	Artificial	IntelligenceDecember
      1       1       1       1 Beneficial	Artificial	Intelligence
      1       1       1       1 Beneficial	AI	2017
      1       1       1       1 Ben	Goertzel	center
      1       1       1       1 Ben	Amor	discusses
      1       1       1       1 believe	the	answer
      1       1       1       1 believe	that	experiments
      1       1       1       1 believe	sound	but
      1       1       1       1 being	replaced	on
      1       1       1       1 being	made	from
      1       1       1       1 Being	Human	in
      1       1       1       1 being	human	Artificial
      1       1       1       1 Being	a	sore
      1       1       1       1 behavior	Continue	reading
      1       1       1       1 beginning	of	the
      1       1       1       1 begets	strength	The
      1       1       1       1 began	to	use
      1       1       1       1 Before	we	get
      1       1       1       1 before	they	commit
      1       1       1       1 before	it	s
      1       1       1       1 before	as	long
      1       1       1       1 before	a	discussion
      1       1       1       1 been	vocal	about
      1       1       1       1 been	unnerved	by
      1       1       1       1 been	the	standard
      1       1       1       1 been	displaced	This
      1       1       1       1 become	the	new
      1       1       1       1 become	that	country
      1       1       1       1 become	part	of
      1       1       1       1 become	an	more
      1       1       1       1 become	an	ethical
      1       1       1       1 become	Abstractionsalphagoartificial	intelligencecomputer
      1       1       1       1 because	we	re
      1       1       1       1 because	we	are
      1       1       1       1 Because	of	their
      1       1       1       1 because	it	will
      1       1       1       1 because	it	takes
      1       1       1       1 because	it	poses
      1       1       1       1 beat	the	world
      1       1       1       1 be	weaponized	and
      1       1       1       1 be	used	for
      1       1       1       1 be	transferred	to
      1       1       1       1 be	the	ultimate
      1       1       1       1 be	the	next
      1       1       1       1 be	subject	to
      1       1       1       1 be	ready	to
      1       1       1       1 be	passive	vessels
      1       1       1       1 be	paranoid	to
      1       1       1       1 be	marching	down
      1       1       1       1 be	like	us
      1       1       1       1 be	indistinguishable	from
      1       1       1       1 be	in	the
      1       1       1       1 be	forced	to
      1       1       1       1 be	feasible	in
      1       1       1       1 be	dismissed	A
      1       1       1       1 be	consequences	if
      1       1       1       1 be	an	economic
      1       1       1       1 be	amended	so
      1       1       1       1 be	alarmed	by
      1       1       1       1 be	a	bust
      1       1       1       1 battle	is	heating
      1       1       1       1 basis	of	patterns
      1       1       1       1 basis	of	look
      1       1       1       1 basis	for	avoiding
      1       1       1       1 Basic	AI	drives
      1       1       1       1 based	standouts	One
      1       1       1       1 based	on	three
      1       1       1       1 based	on	that
      1       1       1       1 based	in	Seattle
      1       1       1       1 based	in	London
      1       1       1       1 bartenders	concierges	professions
      1       1       1       1 Barrat	said	Does
      1       1       1       1 Barrat	author	of
      1       1       1       1 barn	and	our
      1       1       1       1 Barbie	Even	seemingly
      1       1       1       1 Barack	Obama	advising
      1       1       1       1 Bank	tellers	Unlike
      1       1       1       1 Baidu	Alibaba	and
      1       1       1       1 bad	software	and
      1       1       1       1 B	I	to
      1       1       1       1 aware	computer	programs
      1       1       1       1 avoiding	A	I
      1       1       1       1 average	temperatures	Source
      1       1       1       1 autonomous	weapons	with
      1       1       1       1 Autonomous	weapons	are
      1       1       1       1 autonomous	vehicles	that
      1       1       1       1 autonomous	vehicles	rather
      1       1       1       1 Automation	will	absorb
      1       1       1       1 automation	over	the
      1       1       1       1 automation	of	office
      1       1       1       1 Automation	is	here
      1       1       1       1 Automation	and	the
      1       1       1       1 automatically	elicit	record
      1       1       1       1 automate	routine	tasks
      1       1       1       1 author	with	Peter
      1       1       1       1 author	of	The
      1       1       1       1 author	of	Our
      1       1       1       1 August	29	2017
      1       1       1       1 audience	what	Sophia
      1       1       1       1 attempt	to	steer
      1       1       1       1 attain	knowledge	in
      1       1       1       1 attacks	are	coming
      1       1       1       1 attacks	and	password
      1       1       1       1 attack	by	artificial
      1       1       1       1 at	Zuckerberg	s
      1       1       1       1 at	this	year
      1       1       1       1 At	TheWrap	
      1       1       1       1 at	the	RISE
      1       1       1       1 At	the	moment
      1       1       1       1 at	the	city
      1       1       1       1 at	Oxford	University
      1       1       1       1 at	least	slow
      1       1       1       1 at	least	one
      1       1       1       1 at	Human	Rights
      1       1       1       1 at	Google	of
      1       1       1       1 at	Georgia	Tech
      1       1       1       1 at	DeepMind	the
      1       1       1       1 at	DeepMind	Google
      1       1       1       1 at	Bernstein	Research
      1       1       1       1 at	being	human
      1       1       1       1 at	Arizona	State
      1       1       1       1 at	an	event
      1       1       1       1 at	all	They
      1       1       1       1 at	all	I
      1       1       1       1 at	A	new
      1       1       1       1 at	A	I
      1       1       1       1 at	5	48
      1       1       1       1 assurances	that	A
      1       1       1       1 assistants	Today	Facebook
      1       1       1       1 assistants	This	transformation
      1       1       1       1 assistants	on	a
      1       1       1       1 Assistant	Professor	at
      1       1       1       1 assistant	designed	to
      1       1       1       1 asset	as	in
      1       1       1       1 assess	Jill	s
      1       1       1       1 ask	whether	we
      1       1       1       1 ask	Siri	about
      1       1       1       1 ask	our	experts
      1       1       1       1 Ask	any	technology
      1       1       1       1 Asilomar	CA	Jaan
      1       1       1       1 as	well	as
      1       1       1       1 As	we	have
      1       1       1       1 as	unavoidable	that
      1       1       1       1 as	their	new
      1       1       1       1 as	the	number
      1       1       1       1 as	the	human
      1       1       1       1 as	the	founder
      1       1       1       1 as	taking	over
      1       1       1       1 as	such	In
      1       1       1       1 as	someone	who
      1       1       1       1 as	robots	Artificial
      1       1       1       1 as	narrow	AI
      1       1       1       1 as	many	as
      1       1       1       1 as	long	From
      1       1       1       1 as	learn	from
      1       1       1       1 as	language	translation
      1       1       1       1 as	just	the
      1       1       1       1 as	Jill	Watson
      1       1       1       1 as	its	biggest
      1       1       1       1 as	it	does
      1       1       1       1 as	individual	acts
      1       1       1       1 as	in	China
      1       1       1       1 as	for	the
      1       1       1       1 as	ethics	privacy
      1       1       1       1 as	Chang	e
      1       1       1       1 As	artificial	intelligence
      1       1       1       1 as	an	effort
      1       1       1       1 as	an	academic
      1       1       1       1 as	an	A
      1       1       1       1 As	AI	researchers
      1       1       1       1 as	accelerators	They
      1       1       1       1 as	a	Threat
      1       1       1       1 as	a	teaching
      1       1       1       1 as	a	starting
      1       1       1       1 as	a	response
      1       1       1       1 as	a	question
      1       1       1       1 as	a	Positive
      1       1       1       1 as	a	Artificial
      1       1       1       1 as		
      1       1       1       1 artisans	personal	assistants
      1       1       1       1 artificial	superintelligence	that
      1       1       1       1 artificial	intelligenceJames	R
      1       1       1       1 Artificial	IntelligenceDecember	27
      1       1       1       1 Artificial	intelligence	won
      1       1       1       1 artificial	intelligence	without
      1       1       1       1 Artificial	Intelligence	Wiping
      1       1       1       1 artificial	intelligence	which
      1       1       1       1 Artificial	Intelligence	Turns
      1       1       1       1 Artificial	Intelligence	Tries
      1       1       1       1 artificial	intelligence	Transparency
      1       1       1       1 Artificial	Intelligence	Too
      1       1       1       1 Artificial	Intelligence	Tech
      1       1       1       1 Artificial	Intelligence	taught
      1       1       1       1 Artificial	Intelligence	Talks
      1       1       1       1 artificial	intelligence	system
      1       1       1       1 artificial	intelligence	supercharges
      1       1       1       1 Artificial	Intelligence	SundayReview
      1       1       1       1 Artificial	Intelligence	Stephen
      1       1       1       1 artificial	intelligence	startup
      1       1       1       1 artificial	intelligence	solutions
      1       1       1       1 artificial	intelligence	run
      1       1       1       1 artificial	intelligence	robots
      1       1       1       1 artificial	intelligence	robotics
      1       1       1       1 Artificial	Intelligence	Rivals
      1       1       1       1 artificial	intelligence	results
      1       1       1       1 Artificial	Intelligence	Response
      1       1       1       1 artificial	intelligence	represents
      1       1       1       1 Artificial	Intelligence	Report
      1       1       1       1 artificial	intelligence	replace
      1       1       1       1 Artificial	Intelligence	Re
      1       1       1       1 artificial	intelligence	promises
      1       1       1       1 artificial	Intelligence	project
      1       1       1       1 artificial	intelligence	programs
      1       1       1       1 Artificial	Intelligence	Poses
      1       1       1       1 artificial	intelligence	porn
      1       1       1       1 artificial	intelligence	platform
      1       1       1       1 Artificial	Intelligence	Pioneer
      1       1       1       1 artificial	intelligence	Photo
      1       1       1       1 artificial	intelligence	Perhaps
      1       1       1       1 artificial	intelligence	people
      1       1       1       1 Artificial	intelligence	Our
      1       1       1       1 Artificial	Intelligence	Open
      1       1       1       1 artificial	intelligence	only
      1       1       1       1 artificial	intelligence	on
      1       1       1       1 artificial	intelligence	often
      1       1       1       1 Artificial	Intelligence	Media
      1       1       1       1 artificial	intelligence	Marvin
      1       1       1       1 Artificial	Intelligence	machine
      1       1       1       1 Artificial	Intelligence	Learns
      1       1       1       1 artificial	intelligence	lead
      1       1       1       1 artificial	intelligence	Last
      1       1       1       1 artificial	intelligence	lab
      1       1       1       1 artificial	intelligence	James
      1       1       1       1 Artificial	Intelligence	Intelligence
      1       1       1       1 artificial	intelligence	industry
      1       1       1       1 artificial	intelligence	including
      1       1       1       1 Artificial	intelligence	improves
      1       1       1       1 artificial	intelligence	IBM
      1       1       1       1 Artificial	Intelligence	How
      1       1       1       1 artificial	intelligence	group
      1       1       1       1 artificial	intelligence	Global
      1       1       1       1 artificial	intelligence	games
      1       1       1       1 artificial	intelligence	from
      1       1       1       1 Artificial	Intelligence	Everything
      1       1       1       1 artificial	intelligence	event
      1       1       1       1 Artificial	Intelligence	Ethics
      1       1       1       1 Artificial	Intelligence	ETF
      1       1       1       1 Artificial	Intelligence	engineers
      1       1       1       1 Artificial	Intelligence	Development
      1       1       1       1 artificial	intelligence	defeated
      1       1       1       1 Artificial	Intelligence	Deep
      1       1       1       1 artificial	intelligence	cybersecurity
      1       1       1       1 Artificial	intelligence	cyber
      1       1       1       1 artificial	intelligence	computer
      1       1       1       1 Artificial	intelligence	commission
      1       1       1       1 Artificial	Intelligence	Comments
      1       1       1       1 artificial	intelligence	comes
      1       1       1       1 artificial	intelligence	China
      1       1       1       1 artificial	intelligence	chatbots
      1       1       1       1 Artificial	Intelligence	by
      1       1       1       1 artificial	intelligence	books
      1       1       1       1 Artificial	Intelligence	Biotechnology
      1       1       1       1 artificial	intelligence	bid
      1       1       1       1 artificial	intelligence	Benefits
      1       1       1       1 Artificial	Intelligence	Automation
      1       1       1       1 artificial	intelligence	at
      1       1       1       1 artificial	intelligence	ask
      1       1       1       1 artificial	intelligence	Artificial
      1       1       1       1 artificial	intelligence	aren
      1       1       1       1 artificial	intelligence	also
      1       1       1       1 artificial	intelligence	AlphaGo
      1       1       1       1 artificial	intelligence	algorithms
      1       1       1       1 Artificial	Intelligence	AI2
      1       1       1       1 Artificial	Intelligence	AI100
      1       1       1       1 Artificial	Intelligence	acts
      1       1       1       1 Artificial	Intelligence	A19
      1       1       1       1 artificial	Demis	Hassabis
      1       1       1       1 Articles	Concerns	of
      1       1       1       1 article	appears	in
      1       1       1       1 arrive	we	may
      1       1       1       1 arresting	people	before
      1       1       1       1 array	of	games
      1       1       1       1 Armstrong	What	Happens
      1       1       1       1 Arizona	State	University
      1       1       1       1 arise	for	hundreds
      1       1       1       1 aren	t	trying
      1       1       1       1 aren	t	good
      1       1       1       1 areas	where	it
      1       1       1       1 areas	such	as
      1       1       1       1 areas	of	Artificial
      1       1       1       1 are	valid	concerns
      1       1       1       1 are	transforming	how
      1       1       1       1 are	too	of
      1       1       1       1 are	the	smartest
      1       1       1       1 are	the	basis
      1       1       1       1 are	technological	giants
      1       1       1       1 are	teaching	themselves
      1       1       1       1 are	taking	government
      1       1       1       1 are	starting	to
      1       1       1       1 are	smart	bets
      1       1       1       1 are	simply	In
      1       1       1       1 are	side	by
      1       1       1       1 are	serious	but
      1       1       1       1 are	right	artificial
      1       1       1       1 are	programmed	to
      1       1       1       1 are	pouring	their
      1       1       1       1 are	no	closed
      1       1       1       1 are	making	extensive
      1       1       1       1 are	lower	paying
      1       1       1       1 are	looking	for
      1       1       1       1 are	known	in
      1       1       1       1 are	jobs	that
      1       1       1       1 are	interested	in
      1       1       1       1 are	inspired	by
      1       1       1       1 are	increasingly	on
      1       1       1       1 are	in	a
      1       1       1       1 are	improving	faster
      1       1       1       1 are	I	believe
      1       1       1       1 are	hundreds	of
      1       1       1       1 are	going	to
      1       1       1       1 are	fascinating	controversies
      1       1       1       1 are	enlisting	an
      1       1       1       1 are	elegant	but
      1       1       1       1 are	delivering	better
      1       1       1       1 are	critical	for
      1       1       1       1 are	coming	but
      1       1       1       1 are	clearly	labeled
      1       1       1       1 are	calling	for
      1       1       1       1 are	best	at
      1       1       1       1 are	artificial	intelligence
      1       1       1       1 are	already	familiar
      1       1       1       1 are	almost	certain
      1       1       1       1 are	active	To
      1       1       1       1 are	able	to
      1       1       1       1 are	a	few
      1       1       1       1 apps	for	travelers
      1       1       1       1 approval	from	the
      1       1       1       1 approaches	to	funding
      1       1       1       1 Approach	which	has
      1       1       1       1 approach	I	have
      1       1       1       1 appointed	to	consider
      1       1       1       1 apply	to	its
      1       1       1       1 Apply	Nick	Bostrom
      1       1       1       1 applications	that	many
      1       1       1       1 applications	of	artificial
      1       1       1       1 aperture	of	another
      1       1       1       1 AP	AP	12
      1       1       1       1 AP	12	Unemployment
      1       1       1       1 anything	else	they
      1       1       1       1 anyone	building	artificial
      1       1       1       1 any	technology	expert
      1       1       1       1 any	robot	to
      1       1       1       1 any	A	I
      1       1       1       1 anxiety	spills	over
      1       1       1       1 anxiety	over	job
      1       1       1       1 anticipates	crime	to
      1       1       1       1 anticipate	Simply	put
      1       1       1       1 answering	machine	A
      1       1       1       1 answer	will	involve
      1       1       1       1 answer	to	this
      1       1       1       1 answer	students	questions
      1       1       1       1 answer	is	yes
      1       1       1       1 another	we	are
      1       1       1       1 another	I	challenge
      1       1       1       1 Anne	Frank	Artificial
      1       1       1       1 anecdote	about	using
      1       1       1       1 and	Zuckerberg	clash
      1       1       1       1 and	what	it
      1       1       1       1 and	Watson	more
      1       1       1       1 and	visual	perception
      1       1       1       1 and	utilization	of
      1       1       1       1 and	understand	to
      1       1       1       1 and	translate	languages
      1       1       1       1 and	this	hits
      1       1       1       1 and	they	ll
      1       1       1       1 And	then	I
      1       1       1       1 and	their	battle
      1       1       1       1 and	the	transition
      1       1       1       1 and	the	have
      1       1       1       1 and	the	Economy
      1       1       1       1 and	the	computer
      1       1       1       1 and	that	s
      1       1       1       1 and	that	give
      1       1       1       1 and	Tencent	are
      1       1       1       1 and	Tags	artificial
      1       1       1       1 and	Stuart	Russell
      1       1       1       1 And	Stephen	Hawking
      1       1       1       1 and	Sophia	the
      1       1       1       1 and	some	developing
      1       1       1       1 and	similar	apps
      1       1       1       1 and	significantly	larger
      1       1       1       1 and	services	for
      1       1       1       1 and	serve	videos
      1       1       1       1 and	scientific	understanding
      1       1       1       1 and	robots	are
      1       1       1       1 and	risks	can
      1       1       1       1 and	research	centers
      1       1       1       1 and	rein	in
      1       1       1       1 and	rapidly	developing
      1       1       1       1 and	provide	insights
      1       1       1       1 and	protected	rights
      1       1       1       1 and	promised	that
      1       1       1       1 and	promise	to
      1       1       1       1 and	privacy	It
      1       1       1       1 and	policy	organization
      1       1       1       1 and	perhaps	most
      1       1       1       1 and	perhaps	altogether
      1       1       1       1 and	performs	as
      1       1       1       1 and	password	cracking
      1       1       1       1 and	our	best
      1       1       1       1 and	other	tech
      1       1       1       1 and	other	pressures
      1       1       1       1 and	offer	a
      1       1       1       1 and	Neuroscience	Theses
      1       1       1       1 and	Negative	Factor
      1       1       1       1 and	need	then
      1       1       1       1 and	Mr	Hawking
      1       1       1       1 and	Mark	Zuckerberg
      1       1       1       1 and	make	AI
      1       1       1       1 and	Machine	Ethics
      1       1       1       1 and	live	
      1       1       1       1 And	less	14
      1       1       1       1 and	its	ultimate
      1       1       1       1 and	its	mainstream
      1       1       1       1 and	is	sponsored
      1       1       1       1 and	Instrumental	Rationality
      1       1       1       1 and	India	in
      1       1       1       1 and	increasingly	is
      1       1       1       1 and	in	patchwork
      1       1       1       1 and	how	to
      1       1       1       1 and	governments	In
      1       1       1       1 and	government	systems
      1       1       1       1 and	government	organisations
      1       1       1       1 and	Go	to
      1       1       1       1 and	global	outsourcing
      1       1       1       1 and	genetic	investigations
      1       1       1       1 and	former	chief
      1       1       1       1 and	flexibility	of
      1       1       1       1 And	Fire	book
      1       1       1       1 and	figures	out
      1       1       1       1 and	Facebook	may
      1       1       1       1 and	Facebook	founder
      1       1       1       1 and	expanding	operations
      1       1       1       1 and	Existential	Risk
      1       1       1       1 and	engineering	breakthroughs
      1       1       1       1 and	effects	of
      1       1       1       1 and	diversified	ETF
      1       1       1       1 and	cross	domain
      1       1       1       1 and	create	the
      1       1       1       1 and	companies	should
      1       1       1       1 and	cloud	computing
      1       1       1       1 and	Claude	Shannon
      1       1       1       1 and	China	which
      1       1       1       1 and	China	A
      1       1       1       1 and	chief	executive
      1       1       1       1 and	build	on
      1       1       1       1 and	bottom	up
      1       1       1       1 and	booking	engine
      1       1       1       1 and	between	nations
      1       1       1       1 and	Beneficial	Artificial
      1       1       1       1 and	bad	software
      1       1       1       1 and	author	of
      1       1       1       1 and	ask	Siri
      1       1       1       1 and	as	the
      1       1       1       1 and	as	it
      1       1       1       1 and	are	looking
      1       1       1       1 and	any	A
      1       1       1       1 and	analyze	information
      1       1       1       1 and	accountability	are
      1       1       1       1 and	accelerating	the
      1       1       1       1 and	1970s	began
      1       1       1       1 and		
      1       1       1       1 analyzing	huge	amounts
      1       1       1       1 analyzes	samples	of
      1       1       1       1 analyze	pricing	data
      1       1       1       1 analyze	information	A
      1       1       1       1 analytical	software	and
      1       1       1       1 analyst	at	Bernstein
      1       1       1       1 analyses	I	once
      1       1       1       1 an	unimaginable	revolution
      1       1       1       1 an	opportunity	to
      1       1       1       1 an	open	license
      1       1       1       1 an	online	class
      1       1       1       1 an	office	Artificial
      1       1       1       1 an	Obama	veteran
      1       1       1       1 an	more	8
      1       1       1       1 an	iPhone	and
      1       1       1       1 An	international	A
      1       1       1       1 an	industry	in
      1       1       1       1 an	impregnable	off
      1       1       1       1 an	existential	threat
      1       1       1       1 an	event	in
      1       1       1       1 an	ethical	responsibility
      1       1       1       1 an	effort	to
      1       1       1       1 an	economic	liability
      1       1       1       1 an	economic	asset
      1       1       1       1 an	attack	by
      1       1       1       1 an	artificial	superintelligence
      1       1       1       1 an	artificial	Demis
      1       1       1       1 an	array	of
      1       1       1       1 an	alarmist	view
      1       1       1       1 an	airplane	fly
      1       1       1       1 an	AI	so
      1       1       1       1 an	advanced	A
      1       1       1       1 an	admired	quality
      1       1       1       1 an	academic	researcher
      1       1       1       1 amplifying	our	human
      1       1       1       1 amounts	of	unruly
      1       1       1       1 amounts	of	information
      1       1       1       1 amounts	of	data
      1       1       1       1 amorphous	and	rapidly
      1       1       1       1 Amor	discusses	robotics
      1       1       1       1 amok	scared	artificial
      1       1       1       1 Americans	in	the
      1       1       1       1 Americans	in	Still
      1       1       1       1 American	businesses	will
      1       1       1       1 amended	so	that
      1       1       1       1 ambiguous	What	exactly
      1       1       1       1 Amazon	Baidu	Alibaba
      1       1       1       1 am	Artificial	Intelligence
      1       1       1       1 am		
      1       1       1       1 always	for	What
      1       1       1       1 altogether	About	Artificial
      1       1       1       1 Although	the	field
      1       1       1       1 alternate	The	Real
      1       1       1       1 alternate	IBM	and
      1       1       1       1 alternate	How	to
      1       1       1       1 alternate	How	artificial
      1       1       1       1 alternate	Future	of
      1       1       1       1 alternate	Ethics	and
      1       1       1       1 alternate	China	artificial
      1       1       1       1 alternate	alternate	The
      1       1       1       1 alternate	alternate	IBM
      1       1       1       1 alternate	alternate	Future
      1       1       1       1 alternate	alternate	Ethics
      1       1       1       1 alternate	alternate	China
      1       1       1       1 alter	the	employment
      1       1       1       1 alter	employment	prospects
      1       1       1       1 also	produce	fake
      1       1       1       1 also	increase	policing
      1       1       1       1 also	allows	us
      1       1       1       1 Also	A	I
      1       1       1       1 already	underway	is
      1       1       1       1 already	taken	over
      1       1       1       1 already	seen	for
      1       1       1       1 already	inventing	languages
      1       1       1       1 already	familiar	with
      1       1       1       1 AlphaGo	Zero	took
      1       1       1       1 AlphaGo	Zero	the
      1       1       1       1 AlphaGo	artificial	intelligence
      1       1       1       1 AlphaGo	an	AI
      1       1       1       1 alone	in	my
      1       1       1       1 almost	certain	to
      1       1       1       1 almost	500	according
      1       1       1       1 allows	us	to
      1       1       1       1 all	this	data
      1       1       1       1 all	They	are
      1       1       1       1 all	the	increasing
      1       1       1       1 all	of	the
      1       1       1       1 all	Meet	the
      1       1       1       1 all	its	progress
      1       1       1       1 all	if	they
      1       1       1       1 all	I	believe
      1       1       1       1 all	cases	people
      1       1       1       1 all	Also	A
      1       1       1       1 Alibaba	and	Tencent
      1       1       1       1 algorithms	Filed	under
      1       1       1       1 algorithms	business	with
      1       1       1       1 algorithms	are	teaching
      1       1       1       1 Algorithm	has	said
      1       1       1       1 Alexa	Cortana	and
      1       1       1       1 Aldebaran	If	you
      1       1       1       1 alarmist	view	that
      1       1       1       1 alarmed	by	two
      1       1       1       1 airplane	fly	Yes
      1       1       1       1 aims	to	use
      1       1       1       1 aims	to	make
      1       1       1       1 aims	to	advance
      1       1       1       1 aigency	is	a
      1       1       1       1 AI2	a	nonprofit
      1       1       1       1 AI100	Preparing	for
      1       1       1       1 AI	Washington	state
      1       1       1       1 AI	was	entertaining
      1       1       1       1 AI	textbook	for
      1       1       1       1 AI	technologies	promise
      1       1       1       1 AI	system	learnt
      1       1       1       1 AI	Stuart	Russell
      1       1       1       1 AI	start	ups
      1       1       1       1 AI	so	Artificial
      1       1       1       1 AI	safety	Wait
      1       1       1       1 AI	s	potential
      1       1       1       1 AI	Robot	right
      1       1       1       1 AI	researchers	in
      1       1       1       1 AI	researcher	You
      1       1       1       1 AI	q	as
      1       1       1       1 AI	play	a
      1       1       1       1 AI	or	weak
      1       1       1       1 AI	Opinion	Artificial
      1       1       1       1 AI	Opinion	
      1       1       1       1 AI	John	McDonnell
      1       1       1       1 AI	is	progressing
      1       1       1       1 AI	is	programmed
      1       1       1       1 AI	is	Hopper
      1       1       1       1 AI	in	travel
      1       1       1       1 AI	in	that
      1       1       1       1 AI	has	increased
      1       1       1       1 AI	efforts	push
      1       1       1       1 AI	drives	Racing
      1       1       1       1 AI	dialog	agents
      1       1       1       1 AI	company	developing
      1       1       1       1 AI	by	Hanson
      1       1       1       1 AI	based	standouts
      1       1       1       1 AI	as	robots
      1       1       1       1 AI	aims	to
      1       1       1       1 AI	2017	conference
      1       1       1       1 AI		
      1       1       1       1 agree	with	Mr
      1       1       1       1 aggressive	when	cornered
      1       1       1       1 agents	were	able
      1       1       1       1 agent	could	be
      1       1       1       1 Age	of	Artificial
      1       1       1       1 age	of	A
      1       1       1       1 against	them	according
      1       1       1       1 again	Work	careers
      1       1       1       1 After	all	if
      1       1       1       1 after	a	discussion
      1       1       1       1 Afraid	Of	Artificial
      1       1       1       1 AFP	Getty	Images
      1       1       1       1 affairs	They	concern
      1       1       1       1 Aeromexico	s	new
      1       1       1       1 advising	the	White
      1       1       1       1 advice	on	Wednesday
      1       1       1       1 advancement	can	create
      1       1       1       1 advanced	intelligent	machines
      1       1       1       1 advanced	A	I
      1       1       1       1 advance	the	public
      1       1       1       1 advance	medicine	and
      1       1       1       1 adoption	of	robots
      1       1       1       1 adoption	and	utilization
      1       1       1       1 adopt	it	Imagine
      1       1       1       1 admired	quality	especially
      1       1       1       1 addressing	its	A
      1       1       1       1 addictive	clicker	games
      1       1       1       1 Add	dealmaking	to
      1       1       1       1 Actually	skip	that
      1       1       1       1 acts	of	depravity
      1       1       1       1 acts	aggressive	when
      1       1       1       1 active	To	get
      1       1       1       1 across	pop	culture
      1       1       1       1 acquired	DeepMind	a
      1       1       1       1 acquire	confidential	information
      1       1       1       1 accurate	price	prediction
      1       1       1       1 accountability	are	the
      1       1       1       1 account	in	November
      1       1       1       1 according	to	researchers
      1       1       1       1 according	to	data
      1       1       1       1 according	to	a
      1       1       1       1 Accenture	2016	
      1       1       1       1 accelerators	They	can
      1       1       1       1 Accelerators	include	graphics
      1       1       1       1 accelerating	the	promise
      1       1       1       1 academy	and	significantly
      1       1       1       1 academic	researcher	and
      1       1       1       1 Abstractionsalphagoartificial	intelligencecomputer	sciencemachine
      1       1       1       1 absorb	all	of
      1       1       1       1 about	using	artificial
      1       1       1       1 about	the	weather
      1       1       1       1 About	the	Threat
      1       1       1       1 about	the	singularity
      1       1       1       1 about	the	enormous
      1       1       1       1 about	symptoms	body
      1       1       1       1 about	other	They
      1       1       1       1 about	On	the
      1       1       1       1 about	its	impact
      1       1       1       1 about	how	to
      1       1       1       1 about	how	artificial
      1       1       1       1 about	his	concerns
      1       1       1       1 about	civilization	is
      1       1       1       1 About	Artificial	Intelligence
      1       1       1       1 about	50	staff
      1       1       1       1 able	to	unlock
      1       1       1       1 able	to	tax
      1       1       1       1 able	to	perform
      1       1       1       1 able	to	negotiate
      1       1       1       1 able	to	make
      1       1       1       1 able	to	choose
      1       1       1       1 ability	to	automatically
      1       1       1       1 A19	of	the
      1       1       1       1 a	Wired	magazine
      1       1       1       1 a	We	believe
      1       1       1       1 a	video	interview
      1       1       1       1 a	variety	of
      1       1       1       1 a	travel	technology
      1       1       1       1 a	toy	such
      1       1       1       1 a	top	AI
      1       1       1       1 a	Threat	shivers
      1       1       1       1 a	Threat	Order
      1       1       1       1 a	Threat	Fashion
      1       1       1       1 a	Threat	Artificial
      1       1       1       1 a	teaching	someone
      1       1       1       1 a	supercomputer	having
      1       1       1       1 a	starting	point
      1       1       1       1 a	start	up
      1       1       1       1 a	specific	This
      1       1       1       1 a	sore	loser
      1       1       1       1 a	sophisticated	piece
      1       1       1       1 A	Song	of
      1       1       1       1 a	single	country
      1       1       1       1 a	series	SELF
      1       1       1       1 a	sense	of
      1       1       1       1 a	semiconductor	analyst
      1       1       1       1 a	select	committee
      1       1       1       1 a	sci	fi
      1       1       1       1 a	robot	that
      1       1       1       1 a	response	to
      1       1       1       1 a	reference	to
      1       1       1       1 a	realistic	tool
      1       1       1       1 a	real	threat
      1       1       1       1 a	question	answering
      1       1       1       1 a	public	good
      1       1       1       1 a	product	of
      1       1       1       1 a	privileged	few
      1       1       1       1 a	prime	position
      1       1       1       1 a	primary	limit
      1       1       1       1 a	prerequisite	to
      1       1       1       1 a	Positive	and
      1       1       1       1 a	peer	of
      1       1       1       1 a	number	of
      1       1       1       1 a	nonprofit	based
      1       1       1       1 a	new	important
      1       1       1       1 a	new	framework
      1       1       1       1 a	new	A
      1       1       1       1 A	new	
      1       1       1       1 a	neuroscience	inspired
      1       1       1       1 a	narrow	task
      1       1       1       1 a	more	concrete
      1       1       1       1 a	more	accurate
      1       1       1       1 A	Modern	Approach
      1       1       1       1 a	misunderstood	term
      1       1       1       1 a	majority	of
      1       1       1       1 a	major	breakthrough
      1       1       1       1 a	long	long
      1       1       1       1 a	little	smarter
      1       1       1       1 a	limited	extent
      1       1       1       1 a	large	growing
      1       1       1       1 A	I	world
      1       1       1       1 A	I	weapons
      1       1       1       1 A	I	wave
      1       1       1       1 A	I	tools
      1       1       1       1 A	I	The
      1       1       1       1 A	I	tasks
      1       1       1       1 A	I	surpasses
      1       1       1       1 A	I	software
      1       1       1       1 A	I	should
      1       1       1       1 A	I	self
      1       1       1       1 A	I	science
      1       1       1       1 A	I	rules
      1       1       1       1 A	I	robots
      1       1       1       1 A	I	revolution
      1       1       1       1 A	I	researchers
      1       1       1       1 A	I	research
      1       1       1       1 A	I	products
      1       1       1       1 A	I	powered
      1       1       1       1 A	I	plans
      1       1       1       1 A	I	paradigm
      1       1       1       1 A	I	Order
      1       1       1       1 A	I	must
      1       1       1       1 A	I	mission
      1       1       1       1 A	I	markets
      1       1       1       1 A	I	makes
      1       1       1       1 A	I	Made
      1       1       1       1 A	I	machines
      1       1       1       1 A	I	like
      1       1       1       1 A	I	lacks
      1       1       1       1 A	I	it
      1       1       1       1 A	I	intelligence
      1       1       1       1 A	I	in
      1       1       1       1 A	I	I
      1       1       1       1 A	I	horse
      1       1       1       1 A	I	harm
      1       1       1       1 A	I	group
      1       1       1       1 A	I	fueled
      1       1       1       1 A	I	easily
      1       1       1       1 A	I	did
      1       1       1       1 A	I	development
      1       1       1       1 A	I	companies
      1       1       1       1 A	I	cannot
      1       1       1       1 A	I	can
      1       1       1       1 A	I	businesses
      1       1       1       1 A	I	both
      1       1       1       1 A	I	Barbie
      1       1       1       1 A	I	at
      1       1       1       1 A	I	as
      1       1       1       1 A	I	and
      1       1       1       1 A	I	agent
      1       1       1       1 A	I	advancement
      1       1       1       1 A	I	a
      1       1       1       1 a	humanoid	robot
      1       1       1       1 a	global	scale
      1       1       1       1 a	fundamental	risk
      1       1       1       1 a	fundamental	existential
      1       1       1       1 a	founder	and
      1       1       1       1 a	form	of
      1       1       1       1 a	fish	Mr
      1       1       1       1 a	figured	it
      1       1       1       1 a	few	examples
      1       1       1       1 a	discussion	about
      1       1       1       1 a	dependence	on
      1       1       1       1 a	demonstration	of
      1       1       1       1 a	decade	processors
      1       1       1       1 a	company	like
      1       1       1       1 a	commission	to
      1       1       1       1 a	child	John
      1       1       1       1 a	central	processor
      1       1       1       1 a	career	in
      1       1       1       1 A	captivating	conversation
      1       1       1       1 a	bust	Venture
      1       1       1       1 a	bust	Investments
      1       1       1       1 a	bust	Image
      1       1       1       1 a	broad	net
      1       1       1       1 a	breakthrough	in
      1       1       1       1 a	bot	that
      1       1       1       1 a	bot	known
      1       1       1       1 a	bird	Artificial
      1       1       1       1 a	big	issue
      1       1       1       1 9	00	am
      1       1       1       1 8	Crime	reduction
      1       1       1       1 662	Artificial	intelligence
      1       1       1       1 6	2016	at
      1       1       1       1 6	2014	on
      1       1       1       1 59	comes	in
      1       1       1       1 59	China	artificial
      1       1       1       1 59	billion	industry
      1       1       1       1 566	Artificial	intelligence
      1       1       1       1 500	according	to
      1       1       1       1 50	staff	members
      1       1       1       1 5	for	2017
      1       1       1       1 5	48	am
      1       1       1       1 48	am	Artificial
      1       1       1       1 45	566	Artificial
      1       1       1       1 45	111	Artificial
      1       1       1       1 400	million	last
      1       1       1       1 35	662	Artificial
      1       1       1       1 30pm	BST	In
      1       1       1       1 30pm	BST	An
      1       1       1       1 30	2017	on
      1       1       1       1 3	stocks	are
      1       1       1       1 3	Global	health
      1       1       1       1 3	2018	1
      1       1       1       1 3	19pm	Modal
      1       1       1       1 3	0	Being
      1       1       1       1 29	2017	3
      1       1       1       1 27	2017	9
      1       1       1       1 26	18	
      1       1       1       1 23	Terrifyingly	Google
      1       1       1       1 23	of	23
      1       1       1       1 22nd	consecutive	quarter
      1       1       1       1 22	of	22
      1       1       1       1 22	Facebook	s
      1       1       1       1 22	14	Space
      1       1       1       1 22	12	Unemployment
      1       1       1       1 2020	according	to
      1       1       1       1 2018	1	10
      1       1       1       1 2017	Source	Space
      1       1       1       1 2017	ReportJanuary	3
      1       1       1       1 2017	on	Page
      1       1       1       1 2017	conference	in
      1       1       1       1 2017	Artificial	intelligence
      1       1       1       1 2017	9	00
      1       1       1       1 2017	3	19pm
      1       1       1       1 2016	at	5
      1       1       1       1 2016	about	how
      1       1       1       1 2016	a	bot
      1       1       1       1 2016		
      1       1       1       1 2014	on	Page
      1       1       1       1 2009	in	his
      1       1       1       1 2000	companies	and
      1       1       1       1 2	Last	year
      1       1       1       1 2	30pm	BST
      1       1       1       1 19pm	Modal	Trigger
      1       1       1       1 1970s	began	to
      1       1       1       1 1960s	and	1970s
      1       1       1       1 1955	As	AI
      1       1       1       1 1920_x_1080_iOSA	JPG	uuid
      1       1       1       1 18	October	from
      1       1       1       1 18		
      1       1       1       1 17	of	22
      1       1       1       1 14	subscription	TV
      1       1       1       1 14	Space	exploration
      1       1       1       1 14	of	22
      1       1       1       1 12	Unemployment	underemployment
      1       1       1       1 12	the	audience
      1       1       1       1 12	2017	Artificial
      1       1       1       1 111	Artificial	intelligence
      1       1       1       1 10	years	How
      1       1       1       1 10	years	disruption
      1       1       1       1 10	pm	Research
      1       1       1       1 1	The	AI
      1       1       1       1 1	billion	in
      1       1       1       1 1	59	comes
      1       1       1       1 1	2	30pm
      1       1       1       1 1	10	pm
      1       1       1       1 00	am	
      1       1       1       1 0	Being	Human
      1       1       1       1 _taboola	push	flush
      1       1       1       1      21 of	artificial	intelligence
      1       1       1       1      14 artificial	intelligence	AI
      1       1       1       1      13 artificial	intelligence	is
      1       1       1       1       7 on	artificial	intelligence
      1       1       1       1       7 intelligence		
      1       1       1       1       7 artificial	intelligence	will
      1       1       1       1       7 artificial	intelligence	and
      1       1       1       1       7 artificial	intelligence	
      1       1       1       1       7 an	artificial	intelligence
      1       1       1       1       6 in	artificial	intelligence
      1       1       1       1       6 for	artificial	intelligence
      1       1       1       1       6 artificial	intelligence	research
      1       1       1       1       6 artificial	intelligence	has
      1       1       1       1       5 York	edition	with
      1       1       1       1       5 with	the	headline
      1       1       1       1       5 Today	s	Paper
      1       1       1       1       5 the	New	York
      1       1       1       1       5 s	Paper	Subscribe
      1       1       1       1       5 s	artificial	intelligence
      1       1       1       1       5 of	the	New
      1       1       1       1       5 New	York	edition
      1       1       1       1       5 edition	with	the
      1       1       1       1       5 artificial	intelligence	to
      1       1       1       1       5 alternate	alternate	alternate
      1       1       1       1       4 the	future	of
      1       1       1       1       4 the	artificial	intelligence
      1       1       1       1       4 of	A	I
      1       1       1       1       4 Feed	alternate	alternate
      1       1       1       1       4 Comments	Feed	alternate
      1       1       1       1       4 artificial	intelligence	The
      1       1       1       1       4 and	artificial	intelligence
      1       1       1       1       4 A	I	is
      1       1       1       1       3 White	House	s
      1       1       1       1       3 use	artificial	intelligence
      1       1       1       1       3 under	artificial	intelligence
      1       1       1       1       3 to	regulate	artificial
      1       1       1       1       3 to	A	I
      1       1       1       1       3 the	White	House
      1       1       1       1       3 the	next	decade
      1       1       1       1       3 the	main	story
      1       1       1       1       3 The	Denver	Post
      1       1       1       1       3 the	A	I
      1       1       1       1       3 Tags	artificial	intelligence
      1       1       1       1       3 Subscribe		
      1       1       1       1       3 some	of	the
      1       1       1       1       3 robots	artificial	intelligence
      1       1       1       1       3 risks	of	artificial
      1       1       1       1       3 regulate	artificial	intelligence
      1       1       1       1       3 reading	the	main
      1       1       1       1       3 Post	Feed	The
      1       1       1       1       3 Post	Comments	Feed
      1       1       1       1       3 Paper	Subscribe	
      1       1       1       1       3 over	the	next
      1       1       1       1       3 one	of	the
      1       1       1       1       3 new	report	from
      1       1       1       1       3 it	will	be
      1       1       1       1       3 intelligence	research	lab
      1       1       1       1       3 implications	of	artificial
      1       1       1       1       3 how	artificial	intelligence
      1       1       1       1       3 Google	s	artificial
      1       1       1       1       3 Filed	under	artificial
      1       1       1       1       3 Feed	The	Denver
      1       1       1       1       3 do	the	same
      1       1       1       1       3 Denver	Post	Feed
      1       1       1       1       3 Denver	Post	Comments
      1       1       1       1       3 Continue	reading	the
      1       1       1       1       3 Comments	Feed	The
      1       1       1       1       3 chief	executive	of
      1       1       1       1       3 benefits	and	risks
      1       1       1       1       3 artificial	intelligence	today
      1       1       1       1       3 artificial	intelligence	that
      1       1       1       1       3 artificial	intelligence	says
      1       1       1       1       3 artificial	intelligence	can
      1       1       1       1       3 artificial	intelligence	as
      1       1       1       1       3 and	risks	of
      1       1       1       1       3 an	A	I
      1       1       1       1       3 about	the	future
      1       1       1       1       3 A	new	report
      1       1       1       1       3 a	model	of
      1       1       1       1       2 workshops	around	the
      1       1       1       1       2 with	the	White
      1       1       1       1       2 with	artificial	intelligence
      1       1       1       1       2 with	a	pen
      1       1       1       1       2 will	tackle	some
      1       1       1       1       2 will	include	advancing
      1       1       1       1       2 will	be	able
      1       1       1       1       2 we	don	t
      1       1       1       1       2 was	inscribed	into
      1       1       1       1       2 version	of	this
      1       1       1       1       2 various	definitions	but
      1       1       1       1       2 using	artificial	intelligence
      1       1       1       1       2 uses	data	to
      1       1       1       1       2 used	for	artificial
      1       1       1       1       2 US	constitution	with
      1       1       1       1       2 undermined	by	computer
      1       1       1       1       2 Topics	Artificial	intelligence
      1       1       1       1       2 too	many	of
      1       1       1       1       2 to	the	citizens
      1       1       1       1       2 to	spend	240
      1       1       1       1       2 to	master	the
      1       1       1       1       2 to	due	process
      1       1       1       1       2 to	create	an
      1       1       1       1       2 to	build	a
      1       1       1       1       2 to	artificial	intelligence
      1       1       1       1       2 Threat	of	Artificial
      1       1       1       1       2 those	systems	are
      1       1       1       1       2 This	doesn	t
      1       1       1       1       2 they	hold	power
      1       1       1       1       2 them	with	the
      1       1       1       1       2 the	world	s
      1       1       1       1       2 the	US	constitution
      1       1       1       1       2 the	term	artificial
      1       1       1       1       2 the	social	implications
      1       1       1       1       2 the	same	thing
      1       1       1       1       2 The	right	to
      1       1       1       1       2 the	Obama	administration
      1       1       1       1       2 the	number	of
      1       1       1       1       2 the	Human	Era
      1       1       1       1       2 the	hardware	software
      1       1       1       1       2 the	End	of
      1       1       1       1       2 the	economic	and
      1       1       1       1       2 the	country	on
      1       1       1       1       2 the	citizens	they
      1       1       1       1       2 the	benefits	and
      1       1       1       1       2 the	ancient	Chinese
      1       1       1       1       2 the	Allen	Institute
      1       1       1       1       2 the	age	of
      1       1       1       1       2 that	uses	data
      1       1       1       1       2 that	studies	the
      1       1       1       1       2 That	s	where
      1       1       1       1       2 that	it	is
      1       1       1       1       2 that	can	engage
      1       1       1       1       2 that	A	I
      1       1       1       1       2 Tesla	and	SpaceX
      1       1       1       1       2 term	artificial	intelligence
      1       1       1       1       2 tackle	some	of
      1       1       1       1       2 systems	that	are
      1       1       1       1       2 systems	are	opaque
      1       1       1       1       2 Subscribe	Continue	reading
      1       1       1       1       2 studies	the	social
      1       1       1       1       2 story		
      1       1       1       1       2 spend	240	million
      1       1       1       1       2 SpaceX	CEO	Elon
      1       1       1       1       2 some	aspect	of
      1       1       1       1       2 software	and	algorithms
      1       1       1       1       2 social	implications	of
      1       1       1       1       2 series	of	workshops
      1       1       1       1       2 self	driving	cars
      1       1       1       1       2 Science	and	algorithms
      1       1       1       1       2 says	too	many
      1       1       1       1       2 said	that	the
      1       1       1       1       2 said	artificial	intelligence
      1       1       1       1       2 s	Office	of
      1       1       1       1       2 s	A	I
      1       1       1       1       2 robotics	artificial	intelligence
      1       1       1       1       2 right	to	due
      1       1       1       1       2 researchers	in	artificial
      1       1       1       1       2 researchers	at	DeepMind
      1       1       1       1       2 research	lab	at
      1       1       1       1       2 research	institute	at
      1       1       1       1       2 Reprints	Today	s
      1       1       1       1       2 report	from	leading
      1       1       1       1       2 programs	that	can
      1       1       1       1       2 program	that	uses
      1       1       1       1       2 process	was	inscribed
      1       1       1       1       2 power	over	In
      1       1       1       1       2 planning	to	spend
      1       1       1       1       2 pen	A	new
      1       1       1       1       2 partner	on	artificial
      1       1       1       1       2 part	of	the
      1       1       1       1       2 Paper	Subscribe	Continue
      1       1       1       1       2 over	In	2016
      1       1       1       1       2 over	artificial	intelligence
      1       1       1       1       2 Our	final	invention
      1       1       1       1       2 Our	Fear	of
      1       1       1       1       2 Order	Reprints	Today
      1       1       1       1       2 opaque	to	the
      1       1       1       1       2 one	of	them
      1       1       1       1       2 on	the	benefits
      1       1       1       1       2 on	A	I
      1       1       1       1       2 Office	of	Science
      1       1       1       1       2 of	workshops	around
      1       1       1       1       2 of	those	systems
      1       1       1       1       2 of	them	with
      1       1       1       1       2 of	the	Human
      1       1       1       1       2 of	the	game
      1       1       1       1       2 of	the	economic
      1       1       1       1       2 of	some	aspect
      1       1       1       1       2 of	Science	and
      1       1       1       1       2 of	intelligent	machines
      1       1       1       1       2 Obama	administration	held
      1       1       1       1       2 NYU	that	studies
      1       1       1       1       2 Now	cohosted	one
      1       1       1       1       2 now	being	undermined
      1       1       1       1       2 next	decade	to
      1       1       1       1       2 model	of	some
      1       1       1       1       2 MIT	partner	on
      1       1       1       1       2 MIT	Its	mission
      1       1       1       1       2 mission	will	include
      1       1       1       1       2 million	over	the
      1       1       1       1       2 means	a	program
      1       1       1       1       2 master	the	ancient
      1       1       1       1       2 many	of	those
      1       1       1       1       2 main	story	
      1       1       1       1       2 leading	researchers	in
      1       1       1       1       2 lab	at	MIT
      1       1       1       1       2 keep	it	in
      1       1       1       1       2 Its	mission	will
      1       1       1       1       2 it	means	a
      1       1       1       1       2 it	is	now
      1       1       1       1       2 It	also	will
      1       1       1       1       2 is	planning	to
      1       1       1       1       2 is	now	being
      1       1       1       1       2 invention	Artificial	intelligence
      1       1       1       1       2 into	the	US
      1       1       1       1       2 into	artificial	intelligence
      1       1       1       1       2 intelligent	machines	and
      1       1       1       1       2 intelligence	will	make
      1       1       1       1       2 Intelligence	Today	s
      1       1       1       1       2 intelligence	systems	that
      1       1       1       1       2 intelligence	says	too
      1       1       1       1       2 intelligence	It	also
      1       1       1       1       2 intelligence	is	the
      1       1       1       1       2 intelligence	is	not
      1       1       1       1       2 Intelligence	has	various
      1       1       1       1       2 intelligence	Elon	Musk
      1       1       1       1       2 intelligence	cautions	it
      1       1       1       1       2 Intelligence	as	a
      1       1       1       1       2 Intelligence	and	the
      1       1       1       1       2 intelligence	AI	Now
      1       1       1       1       2 Institute	for	Artificial
      1       1       1       1       2 institute	at	NYU
      1       1       1       1       2 inscribed	into	the
      1       1       1       1       2 include	advancing	the
      1       1       1       1       2 in	the	age
      1       1       1       1       2 in	print	on
      1       1       1       1       2 in	general	it
      1       1       1       1       2 in	A	I
      1       1       1       1       2 In	2016	the
      1       1       1       1       2 implications	of	intelligent
      1       1       1       1       2 IBM	is	planning
      1       1       1       1       2 IBM	and	MIT
      1       1       1       1       2 huge	amounts	of
      1       1       1       1       2 How	to	Regulate
      1       1       1       1       2 House	s	Office
      1       1       1       1       2 hold	power	over
      1       1       1       1       2 held	a	series
      1       1       1       1       2 have	to	be
      1       1       1       1       2 has	various	definitions
      1       1       1       1       2 hardware	software	and
      1       1       1       1       2 general	it	means
      1       1       1       1       2 game	of	Go
      1       1       1       1       2 future	of	artificial
      1       1       1       1       2 from	leading	researchers
      1       1       1       1       2 for	A	I
      1       1       1       1       2 final	invention	Artificial
      1       1       1       1       2 field	of	A
      1       1       1       1       2 Fear	of	Artificial
      1       1       1       1       2 ethics	of	artificial
      1       1       1       1       2 ethical	implications	of
      1       1       1       1       2 End	of	the
      1       1       1       1       2 Elon	Musk	recently
      1       1       1       1       2 Elon	Musk	has
      1       1       1       1       2 Elon	Musk	and
      1       1       1       1       2 economic	and	ethical
      1       1       1       1       2 due	process	was
      1       1       1       1       2 driving	cars	artificial
      1       1       1       1       2 doesn	t	mean
      1       1       1       1       2 develop	A	I
      1       1       1       1       2 definitions	but	in
      1       1       1       1       2 decade	to	create
      1       1       1       1       2 days	to	master
      1       1       1       1       2 data	to	build
      1       1       1       1       2 create	an	artificial
      1       1       1       1       2 country	on	the
      1       1       1       1       2 constitution	with	a
      1       1       1       1       2 computer	programs	that
      1       1       1       1       2 computer	code	research
      1       1       1       1       2 coined	the	term
      1       1       1       1       2 cohosted	one	of
      1       1       1       1       2 code	research	institute
      1       1       1       1       2 citizens	they	hold
      1       1       1       1       2 Chinese	board	game
      1       1       1       1       2 CEO	Elon	Musk
      1       1       1       1       2 cautions	it	is
      1       1       1       1       2 cars	artificial	intelligence
      1       1       1       1       2 can	engage	in
      1       1       1       1       2 by	computer	code
      1       1       1       1       2 by	artificial	intelligence
      1       1       1       1       2 but	in	general
      1       1       1       1       2 build	a	model
      1       1       1       1       2 being	undermined	by
      1       1       1       1       2 be	able	to
      1       1       1       1       2 at	NYU	that
      1       1       1       1       2 at	MIT	Its
      1       1       1       1       2 at	artificial	intelligence
      1       1       1       1       2 aspect	of	the
      1       1       1       1       2 artificial	intelligence	with
      1       1       1       1       2 artificial	intelligence	systems
      1       1       1       1       2 artificial	intelligence	revolution
      1       1       1       1       2 Artificial	Intelligence	Opinion
      1       1       1       1       2 artificial	intelligence	Musk
      1       1       1       1       2 artificial	intelligence	It
      1       1       1       1       2 artificial	intelligence	in
      1       1       1       1       2 artificial	intelligence	Elon
      1       1       1       1       2 Artificial	intelligence	could
      1       1       1       1       2 artificial	intelligence	company
      1       1       1       1       2 artificial	intelligence	cautions
      1       1       1       1       2 artificial	intelligence	before
      1       1       1       1       2 artificial	intelligence	because
      1       1       1       1       2 artificial	intelligence	are
      1       1       1       1       2 artificial	intelligence	a
      1       1       1       1       2 around	the	country
      1       1       1       1       2 are	opaque	to
      1       1       1       1       2 appears	in	print
      1       1       1       1       2 and	the	End
      1       1       1       1       2 and	SpaceX	CEO
      1       1       1       1       2 and	MIT	partner
      1       1       1       1       2 and	ethical	implications
      1       1       1       1       2 and	algorithms	used
      1       1       1       1       2 and	algorithms	Artificial
      1       1       1       1       2 ancient	Chinese	board
      1       1       1       1       2 alternate	Artificial	Intelligence
      1       1       1       1       2 alternate	alternate	How
      1       1       1       1       2 alternate	alternate	Artificial
      1       1       1       1       2 also	will	tackle
      1       1       1       1       2 Allen	Institute	for
      1       1       1       1       2 algorithms	used	for
      1       1       1       1       2 algorithms	Artificial	Intelligence
      1       1       1       1       2 AI	Now	cohosted
      1       1       1       1       2 AI	artificial	intelligence
      1       1       1       1       2 advancing	the	hardware
      1       1       1       1       2 administration	held	a
      1       1       1       1       2 about	A	I
      1       1       1       1       2 A	version	of
      1       1       1       1       2 a	series	of
      1       1       1       1       2 a	program	that
      1       1       1       1       2 a	pen	A
      1       1       1       1       2 A	I	will
      1       1       1       1       2 A	I	to
      1       1       1       1       2 A	I	systems
      1       1       1       1       2 A	I	system
      1       1       1       1       2 A	I	s
      1       1       1       1       2 A	I	programs
      1       1       1       1       2 A	I	has
      1       1       1       1       2 a	Artificial	intelligence
      1       1       1       1       2 240	million	over
      1       1       1       1       2 2016	the	Obama
      1       1       1       1       1 Zuckerberg	s	own
      1       1       1       1       1 Zuckerberg	over	the
      1       1       1       1       1 Zuckerberg	have	very
      1       1       1       1       1 Zuckerberg	clash	over
      1       1       1       1       1 Zuck	showdown	over
      1       1       1       1       1 Zone	TV	said
      1       1       1       1       1 Zone	TV	aims
      1       1       1       1       1 Zero	took	just
      1       1       1       1       1 Zero	the	Artificial
      1       1       1       1       1 Zacharia	the	chief
      1       1       1       1       1 your	product	the
      1       1       1       1       1 your	home	That
      1       1       1       1       1 your	child	may
      1       1       1       1       1 you	what	scares
      1       1       1       1       1 you	we	re
      1       1       1       1       1 you	view	crime
      1       1       1       1       1 you	understand	crime
      1       1       1       1       1 you	travel	But
      1       1       1       1       1 you	imagine	when
      1       1       1       1       1 you	have	the
      1       1       1       1       1 You	don	t
      1       1       1       1       1 You	could	do
      1       1       1       1       1 You	can	see
      1       1       1       1       1 you	are	interested
      1       1       1       1       1 you	agree	with
      1       1       1       1       1 you		
      1       1       1       1       1 York	mission	known
      1       1       1       1       1 York	addressing	its
      1       1       1       1       1 York	_taboola	push
      1       1       1       1       1 yet	For	example
      1       1       1       1       1 Yet	for	all
      1       1       1       1       1 yet	easy	to
      1       1       1       1       1 yet	develop	further
      1       1       1       1       1 yes	But	shouldn
      1       1       1       1       1 Yes	but	not
      1       1       1       1       1 Yes	but	it
      1       1       1       1       1 years	the	number
      1       1       1       1       1 years	if	ever
      1       1       1       1       1 years	How	artificial
      1       1       1       1       1 years	disruption	for
      1       1       1       1       1 year	when	the
      1       1       1       1       1 Year	Study	on
      1       1       1       1       1 year	s	RISE
      1       1       1       1       1 year	my	lab
      1       1       1       1       1 year	it	stunned
      1       1       1       1       1 year	In	March
      1       1       1       1       1 X	Robotics	Artificial
      1       1       1       1       1 wrote	this	overly
      1       1       1       1       1 wrote	the	beginning
      1       1       1       1       1 wrote	that	it
      1       1       1       1       1 wrong	person	these
      1       1       1       1       1 wrong	let	me
      1       1       1       1       1 writing	the	next
      1       1       1       1       1 wouldn	t	mean
      1       1       1       1       1 would	make	if
      1       1       1       1       1 would	love	to
      1       1       1       1       1 would	do	the
      1       1       1       1       1 would	cover	private
      1       1       1       1       1 would	be	ready
      1       1       1       1       1 worse	than	bet
      1       1       1       1       1 worse	A	I
      1       1       1       1       1 worry	The	first
      1       1       1       1       1 worry	that	developments
      1       1       1       1       1 worry	about	On
      1       1       1       1       1 Worried	About	Artificial
      1       1       1       1       1 world	While	a
      1       1       1       1       1 world	where	there
      1       1       1       1       1 world	s	leading
      1       1       1       1       1 world	s	best
      1       1       1       1       1 world	rather	than
      1       1       1       1       1 world	not	always
      1       1       1       1       1 world	MOSCOW	Russian
      1       1       1       1       1 world	more	Image
      1       1       1       1       1 world	monopolist	position
      1       1       1       1       1 world	may	be
      1       1       1       1       1 world	leader	in
      1       1       1       1       1 world	Google	s
      1       1       1       1       1 world	for	the
      1       1       1       1       1 works	Integrating	that
      1       1       1       1       1 works	for	a
      1       1       1       1       1 working	on	artificial
      1       1       1       1       1 Workforce	to	Develop
      1       1       1       1       1 workforce	Looking	specifically
      1       1       1       1       1 workers	what	options
      1       1       1       1       1 workers	to	do
      1       1       1       1       1 workers	or	perhaps
      1       1       1       1       1 workers	bartenders	concierges
      1       1       1       1       1 worked	on	A
      1       1       1       1       1 work	to	study
      1       1       1       1       1 work	for	Global
      1       1       1       1       1 work	for	certain
      1       1       1       1       1 work	fewer	hours
      1       1       1       1       1 Work	careers	Artificial
      1       1       1       1       1 work	and	live
      1       1       1       1       1 Wooldridge	Professor	of
      1       1       1       1       1 won	t	kill
      1       1       1       1       1 won	t	be
      1       1       1       1       1 without	explicit	approval
      1       1       1       1       1 without	being	replaced
      1       1       1       1       1 within	days	to
      1       1       1       1       1 within	and	between
      1       1       1       1       1 with	whichever	country
      1       1       1       1       1 With	Very	Real
      1       1       1       1       1 with	Think	of
      1       1       1       1       1 with	their	artificial
      1       1       1       1       1 with	the	world
      1       1       1       1       1 with	the	company
      1       1       1       1       1 with	the	changing
      1       1       1       1       1 with	technology	more
      1       1       1       1       1 with	talent	In
      1       1       1       1       1 with	science	fiction
      1       1       1       1       1 with	real	people
      1       1       1       1       1 with	Peter	Norvig
      1       1       1       1       1 with	other	nations
      1       1       1       1       1 with	Mr	Musk
      1       1       1       1       1 with	more	coming
      1       1       1       1       1 with	microdiscoveries	progress
      1       1       1       1       1 with	internet	connected
      1       1       1       1       1 with	In	a
      1       1       1       1       1 with	Google	s
      1       1       1       1       1 with	doctors	If
      1       1       1       1       1 with	both	models
      1       1       1       1       1 with	Big	Data
      1       1       1       1       1 with	an	opportunity
      1       1       1       1       1 with	algorithms	business
      1       1       1       1       1 with	A	I
      1       1       1       1       1 Wired	magazine	account
      1       1       1       1       1 Wiping	Out	Humanity
      1       1       1       1       1 will	use	artificial
      1       1       1       1       1 will	they	have
      1       1       1       1       1 will	swarm	Hackers
      1       1       1       1       1 will	swarm	average
      1       1       1       1       1 will	soon	outperform
      1       1       1       1       1 will	should	mean
      1       1       1       1       1 will	rule	world
      1       1       1       1       1 will	result	in
      1       1       1       1       1 will	replace	skilled
      1       1       1       1       1 will	overtake	us
      1       1       1       1       1 will	not	be
      1       1       1       1       1 Will	Motivation	and
      1       1       1       1       1 will	mean	they
      1       1       1       1       1 will	make	scientific
      1       1       1       1       1 will	make	life
      1       1       1       1       1 will	make	existing
      1       1       1       1       1 will	lead	to
      1       1       1       1       1 Will	it	What
      1       1       1       1       1 will	involve	service
      1       1       1       1       1 will	involve	educating
      1       1       1       1       1 will	have	to
      1       1       1       1       1 will	have	enough
      1       1       1       1       1 will	go	to
      1       1       1       1       1 will	explode	but
      1       1       1       1       1 will	eliminate	many
      1       1       1       1       1 will	dominate	in
      1       1       1       1       1 will	do	the
      1       1       1       1       1 will	comprise	mostly
      1       1       1       1       1 will	come	to
      1       1       1       1       1 will	change	the
      1       1       1       1       1 will	bring	about
      1       1       1       1       1 will	be	the
      1       1       1       1       1 will	be	marching
      1       1       1       1       1 will	be	forced
      1       1       1       1       1 will	be	consequences
      1       1       1       1       1 will	be	an
      1       1       1       1       1 will	again	Work
      1       1       1       1       1 will	absorb	all
      1       1       1       1       1 Why	We	Should
      1       1       1       1       1 Why	on	Artificial
      1       1       1       1       1 Why	by	Luke
      1       1       1       1       1 Why	Artificial	Intelligence
      1       1       1       1       1 whose	jobs	have
      1       1       1       1       1 whoever	reaches	a
      1       1       1       1       1 who	works	for
      1       1       1       1       1 who	takes	that
      1       1       1       1       1 who	serve	as
      1       1       1       1       1 who	sell	directly
      1       1       1       1       1 Who	s	the
      1       1       1       1       1 Who	s	Afraid
      1       1       1       1       1 who	has	experience
      1       1       1       1       1 who	coined	the
      1       1       1       1       1 Who	betrayed	Anne
      1       1       1       1       1 White	House	report
      1       1       1       1       1 While	science	fiction
      1       1       1       1       1 While	Pivoting	to
      1       1       1       1       1 while	developing	world
      1       1       1       1       1 While	a	large
      1       1       1       1       1 whichever	country	supplies
      1       1       1       1       1 which	will	have
      1       1       1       1       1 which	uses	a
      1       1       1       1       1 which	strength	begets
      1       1       1       1       1 which	served	as
      1       1       1       1       1 which	neural	networks
      1       1       1       1       1 which	learn	specific
      1       1       1       1       1 which	is	already
      1       1       1       1       1 which	has	been
      1       1       1       1       1 which	has	about
      1       1       1       1       1 whether	we	should
      1       1       1       1       1 Whether	or	not
      1       1       1       1       1 whether	on	the
      1       1       1       1       1 whether	an	A
      1       1       1       1       1 where	transparency	and
      1       1       1       1       1 where	they	re
      1       1       1       1       1 where	there	are
      1       1       1       1       1 where	the	world
      1       1       1       1       1 where	the	Global
      1       1       1       1       1 where	it	anticipates
      1       1       1       1       1 where	artificial	intelligence
      1       1       1       1       1 When	they	arrive
      1       1       1       1       1 when	there	is
      1       1       1       1       1 when	the	search
      1       1       1       1       1 when	someone	mentions
      1       1       1       1       1 when	it	s
      1       1       1       1       1 when	it	comes
      1       1       1       1       1 When	DeepMind	s
      1       1       1       1       1 when	cornered	Being
      1       1       1       1       1 when	cornered	_taboola
      1       1       1       1       1 When	Artificial	Intelligence
      1       1       1       1       1 when	A	I
      1       1       1       1       1 what	Sophia	the
      1       1       1       1       1 what	scares	me
      1       1       1       1       1 What	role	for
      1       1       1       1       1 what	options	will
      1       1       1       1       1 what	it	will
      1       1       1       1       1 What	It	Tells
      1       1       1       1       1 What	is	artificial
      1       1       1       1       1 What	Happens	When
      1       1       1       1       1 What	exactly	constitutes
      1       1       1       1       1 what	does	that
      1       1       1       1       1 What	do	you
      1       1       1       1       1 what	could	possibly
      1       1       1       1       1 what	combinations	for
      1       1       1       1       1 what	combination	of
      1       1       1       1       1 what	artificial	intelligence
      1       1       1       1       1 what	about	other
      1       1       1       1       1 weren	t	smart
      1       1       1       1       1 weren	t	able
      1       1       1       1       1 were	able	to
      1       1       1       1       1 well	suited	for
      1       1       1       1       1 well	chatbots	the
      1       1       1       1       1 well	as	for
      1       1       1       1       1 welfare	subsidies	in
      1       1       1       1       1 welfare	initiatives	via
      1       1       1       1       1 Week	When	DeepMind
      1       1       1       1       1 week	s	skirmish
      1       1       1       1       1 Week	Here	s
      1       1       1       1       1 Wednesday	18	October
      1       1       1       1       1 weather	or	I
      1       1       1       1       1 weapons	with	artificial
      1       1       1       1       1 weapons	that	violate
      1       1       1       1       1 weapons	jobs	and
      1       1       1       1       1 weapons	could	easily
      1       1       1       1       1 weapons	are	artificial
      1       1       1       1       1 weaponized	and	any
      1       1       1       1       1 weak	AI	in
      1       1       1       1       1 we	work	and
      1       1       1       1       1 we	ve	found
      1       1       1       1       1 we	ve	created
      1       1       1       1       1 we	take	steps
      1       1       1       1       1 We	Should	Think
      1       1       1       1       1 we	should	regulate
      1       1       1       1       1 we	should	develop
      1       1       1       1       1 we	re	using
      1       1       1       1       1 we	re	on
      1       1       1       1       1 we	re	casting
      1       1       1       1       1 we	need	a
      1       1       1       1       1 We	must	take
      1       1       1       1       1 we	may	never
      1       1       1       1       1 we	may	have
      1       1       1       1       1 we	love	about
      1       1       1       1       1 We	look	for
      1       1       1       1       1 we	keep	it
      1       1       1       1       1 we	have	seen
      1       1       1       1       1 we	have	nothing
      1       1       1       1       1 We	have	already
      1       1       1       1       1 we	get	into
      1       1       1       1       1 we	envision	A
      1       1       1       1       1 we	enhance	these
      1       1       1       1       1 we	do	so
      1       1       1       1       1 we	couldn	t
      1       1       1       1       1 we	close	too
      1       1       1       1       1 we	chose	not
      1       1       1       1       1 we	can	t
      1       1       1       1       1 we	build	an
      1       1       1       1       1 We	believe	that
      1       1       1       1       1 we	are	the
      1       1       1       1       1 we	are	going
      1       1       1       1       1 way	you	travel
      1       1       1       1       1 way	you	
      1       1       1       1       1 way	Washington	professor
      1       1       1       1       1 way	to	go
      1       1       1       1       1 way	they	think
      1       1       1       1       1 way	or	another
      1       1       1       1       1 wave	On	Tuesday
      1       1       1       1       1 Watson	which	served
      1       1       1       1       1 Watson	used	in
      1       1       1       1       1 Watson	more	than
      1       1       1       1       1 Watson	an	A
      1       1       1       1       1 Watch	said	that
      1       1       1       1       1 Washington	that	was
      1       1       1       1       1 Washington	state	
      1       1       1       1       1 Washington	professor	and
      1       1       1       1       1 was	uniquely	capable
      1       1       1       1       1 was	to	determine
      1       1       1       1       1 was	entertaining	if
      1       1       1       1       1 was	developed	by
      1       1       1       1       1 was	co	founded
      1       1       1       1       1 wars	could	become
      1       1       1       1       1 want	the	F
      1       1       1       1       1 want	autonomous	vehicles
      1       1       1       1       1 want	A	I
      1       1       1       1       1 waits	on	stage
      1       1       1       1       1 Wait	But	Why
      1       1       1       1       1 vs	Zuck	showdown
      1       1       1       1       1 vocal	about	his
      1       1       1       1       1 Vladimir	Putin	says
      1       1       1       1       1 visual	perception	A
      1       1       1       1       1 visionary	inventor	Elon
      1       1       1       1       1 virtual	teaching	assistant
      1       1       1       1       1 violate	international	treaties
      1       1       1       1       1 views	of	the
      1       1       1       1       1 viewers		
      1       1       1       1       1 view	that	confuses
      1       1       1       1       1 view	crime	as
      1       1       1       1       1 view	about	A
      1       1       1       1       1 videos	to	individual
      1       1       1       1       1 videos	My	third
      1       1       1       1       1 Video	provided	by
      1       1       1       1       1 video	interview	that
      1       1       1       1       1 via	taxes	But
      1       1       1       1       1 veteran	as	their
      1       1       1       1       1 vessels	dredging	through
      1       1       1       1       1 Very	Real	Biases
      1       1       1       1       1 very	differing	opinions
      1       1       1       1       1 version	of	us
      1       1       1       1       1 verge	of	Sweigert
      1       1       1       1       1 Venture	capitalist	will
      1       1       1       1       1 vehicles	that	drive
      1       1       1       1       1 vehicles	rather	than
      1       1       1       1       1 ve	found	
      1       1       1       1       1 ve	created	all
      1       1       1       1       1 vast	amounts	of
      1       1       1       1       1 various	types	of
      1       1       1       1       1 variety	of	artificial
      1       1       1       1       1 values	it	will
      1       1       1       1       1 Valley	s	resident
      1       1       1       1       1 Valley	giant	is
      1       1       1       1       1 valid	concerns	about
      1       1       1       1       1 uuid	bO3beFYDEeeEC1EgJjGdpw	Hopper
      1       1       1       1       1 utilizing	a	humanoid
      1       1       1       1       1 utilize	for	various
      1       1       1       1       1 utilization	of	robotics
      1       1       1       1       1 using	computing	power
      1       1       1       1       1 using	A	I
      1       1       1       1       1 uses	artificial	intelligence
      1       1       1       1       1 uses	a	variety
      1       1       1       1       1 users	Such	economic
      1       1       1       1       1 used	only	robot
      1       1       1       1       1 used	in	IBM
      1       1       1       1       1 used	for	evil
      1       1       1       1       1 used	by	gamers
      1       1       1       1       1 use	of	A
      1       1       1       1       1 use	every	day
      1       1       1       1       1 use	computers	to
      1       1       1       1       1 use	artificial	intelligenceJames
      1       1       1       1       1 use	and	effects
      1       1       1       1       1 us	with	an
      1       1       1       1       1 us	to	combine
      1       1       1       1       1 us	The	A
      1       1       1       1       1 us	researcher	at
      1       1       1       1       1 us	on	Timur
      1       1       1       1       1 Us	Can	we
      1       1       1       1       1 us	but	it
      1       1       1       1       1 us	Artificial	intelligence
      1       1       1       1       1 us	all	Meet
      1       1       1       1       1 Us	About	A
      1       1       1       1       1 urged	the	nation
      1       1       1       1       1 ups	will	explode
      1       1       1       1       1 up	Time	Tesla
      1       1       1       1       1 up	knowledge	on
      1       1       1       1       1 up	for	more
      1       1       1       1       1 up	company	share
      1       1       1       1       1 up	by	Facebook
      1       1       1       1       1 unveiled	the	latest
      1       1       1       1       1 Unstick	It	Today
      1       1       1       1       1 unruly	Instead	specialized
      1       1       1       1       1 unnerved	by	one
      1       1       1       1       1 unlock	the	opaque
      1       1       1       1       1 Unlike	the	Industrial
      1       1       1       1       1 University	told	a
      1       1       1       1       1 University	s	Stuart
      1       1       1       1       1 University	of	California
      1       1       1       1       1 University	Heni	Ben
      1       1       1       1       1 United	States	to
      1       1       1       1       1 United	States	and
      1       1       1       1       1 uniquely	capable	of
      1       1       1       1       1 unique	and	diversified
      1       1       1       1       1 unimaginable	revolution	in
      1       1       1       1       1 Unemployment	underemployment	Ironic
      1       1       1       1       1 unemployment	I	suspect
      1       1       1       1       1 underway	is	reminiscent
      1       1       1       1       1 understanding	the	emerging
      1       1       1       1       1 understanding	of	artificial
      1       1       1       1       1 understanding	Continue	reading
      1       1       1       1       1 understand	to	a
      1       1       1       1       1 understand	or	anticipate
      1       1       1       1       1 understand	crime	as
      1       1       1       1       1 underemployment	Ironic	since
      1       1       1       1       1 under	former	President
      1       1       1       1       1 under	an	open
      1       1       1       1       1 unavoidable	that	large
      1       1       1       1       1 ultra	profitable	A
      1       1       1       1       1 ultimate	intellectual	version
      1       1       1       1       1 ultimate	impact	on
      1       1       1       1       1 Uh	oh	Musk
      1       1       1       1       1 Uber	would	make
      1       1       1       1       1 U	S	Nasdaq
      1       1       1       1       1 types	of	jobs
      1       1       1       1       1 types	of	cancer
      1       1       1       1       1 two	recent	developments
      1       1       1       1       1 Two	main	problems
      1       1       1       1       1 two	insurmountable	problems
      1       1       1       1       1 two	Hassabis	a
      1       1       1       1       1 two	current	approaches
      1       1       1       1       1 two	companies	put
      1       1       1       1       1 Twitter	A	I
      1       1       1       1       1 twist	rather	than
      1       1       1       1       1 tweets	they	also
      1       1       1       1       1 TV	said	it
      1       1       1       1       1 TV	executives	to
      1       1       1       1       1 TV	channels	The
      1       1       1       1       1 TV	aims	to
      1       1       1       1       1 Turns	On	Us
      1       1       1       1       1 turn	to	machine
      1       1       1       1       1 turbocharged	personal	computers
      1       1       1       1       1 Tuesday	to	deal
      1       1       1       1       1 trying	to	simulate
      1       1       1       1       1 trying	to	define
      1       1       1       1       1 Trump	on	Twitter
      1       1       1       1       1 true	Investments	into
      1       1       1       1       1 true	human	intelligence
      1       1       1       1       1 true	Hackers	will
      1       1       1       1       1 Trigger	Artificial	intelligence
      1       1       1       1       1 Tries	to	Protect
      1       1       1       1       1 treaties	Our	common
      1       1       1       1       1 travels	through	the
      1       1       1       1       1 travelers	use	artificial
      1       1       1       1       1 travelers	A	new
      1       1       1       1       1 travel	The	technologists
      1       1       1       1       1 travel	terrorists	protected
      1       1       1       1       1 travel	technology	company
      1       1       1       1       1 travel	But	maybe
      1       1       1       1       1 travel	and	they
      1       1       1       1       1 travel	And	protected
      1       1       1       1       1 travel	And	less
      1       1       1       1       1 travel	a	little
      1       1       1       1       1 Transparency	is	a
      1       1       1       1       1 transparency	and	protected
      1       1       1       1       1 transparency	and	accountability
      1       1       1       1       1 translation	speech	recognition
      1       1       1       1       1 translate	languages	Intel
      1       1       1       1       1 Translate		
      1       1       1       1       1 transition	IEEE	Special
      1       1       1       1       1 transforming	how	we
      1       1       1       1       1 transformation	will	result
      1       1       1       1       1 transform	our	world
      1       1       1       1       1 transform	jobs	in
      1       1       1       1       1 transferred	to	those
      1       1       1       1       1 Transcending	Complacency	on
      1       1       1       1       1 Transcendence	Our	Fear
      1       1       1       1       1 toy	such	as
      1       1       1       1       1 toward	the	robustness
      1       1       1       1       1 top	down	and
      1       1       1       1       1 top	AI	researcher
      1       1       1       1       1 tools	like	the
      1       1       1       1       1 tools	aren	t
      1       1       1       1       1 tool	was	developed
      1       1       1       1       1 tool	Automation	is
      1       1       1       1       1 took	just	three
      1       1       1       1       1 too	there	The
      1       1       1       1       1 Too	often	the
      1       1       1       1       1 too	of	the
      1       1       1       1       1 too	many	doors
      1       1       1       1       1 too	late	Mr
      1       1       1       1       1 too	complex	for
      1       1       1       1       1 told	the	Committee
      1       1       1       1       1 told	a	select
      1       1       1       1       1 together	an	artificial
      1       1       1       1       1 today	s	artificial
      1       1       1       1       1 today	Roughly	speaking
      1       1       1       1       1 today	is	properly
      1       1       1       1       1 Today	Facebook	Artificial
      1       1       1       1       1 to	worry	The
      1       1       1       1       1 to	worry	about
      1       1       1       1       1 to	work	fewer
      1       1       1       1       1 to	Wait	But
      1       1       1       1       1 to	use	computers
      1       1       1       1       1 to	use	artificial
      1       1       1       1       1 to	unlock	the
      1       1       1       1       1 to	thousands	of
      1       1       1       1       1 to	those	whose
      1       1       1       1       1 to	this	question
      1       1       1       1       1 to	think	like
      1       1       1       1       1 to	the	United
      1       1       1       1       1 to	the	problem
      1       1       1       1       1 to	the	Precipice
      1       1       1       1       1 to	the	next
      1       1       1       1       1 to	the	Movies
      1       1       1       1       1 to	the	growing
      1       1       1       1       1 to	the	full
      1       1       1       1       1 to	the	final
      1       1       1       1       1 to	the	existence
      1       1       1       1       1 to	the	consumers
      1       1       1       1       1 to	thank	For
      1       1       1       1       1 to	tax	ultra
      1       1       1       1       1 to	succeed	I
      1       1       1       1       1 to	subsidize	their
      1       1       1       1       1 to	study	the
      1       1       1       1       1 to	steer	it
      1       1       1       1       1 to	start	thinking
      1       1       1       1       1 to	spike	This
      1       1       1       1       1 to	specialize	in
      1       1       1       1       1 to	simulate	true
      1       1       1       1       1 to	share	its
      1       1       1       1       1 to	self	driving
      1       1       1       1       1 to	select	and
      1       1       1       1       1 to	reveal	her
      1       1       1       1       1 to	rethink	economic
      1       1       1       1       1 to	researchers	at
      1       1       1       1       1 to	release	A
      1       1       1       1       1 to	recognize	University
      1       1       1       1       1 to	read	could
      1       1       1       1       1 to	radically	transform
      1       1       1       1       1 to	put	the
      1       1       1       1       1 to	Protect	Lead
      1       1       1       1       1 to	program	TV
      1       1       1       1       1 to	program	the
      1       1       1       1       1 to	profit	from
      1       1       1       1       1 to	problems	too
      1       1       1       1       1 to	predict	impact
      1       1       1       1       1 to	power	their
      1       1       1       1       1 to	power	its
      1       1       1       1       1 to	play	the
      1       1       1       1       1 to	perform	tasks
      1       1       1       1       1 to	perform	a
      1       1       1       1       1 to	other	countries
      1       1       1       1       1 to	or	the
      1       1       1       1       1 to	negotiate	with
      1       1       1       1       1 to	negotiate	remarkably
      1       1       1       1       1 to	Move	It
      1       1       1       1       1 to	minimize	the
      1       1       1       1       1 to	make	travel
      1       1       1       1       1 to	make	the
      1       1       1       1       1 to	make	decisions
      1       1       1       1       1 to	machine	learning
      1       1       1       1       1 to	Learn	Entirely
      1       1       1       1       1 to	learn	
      1       1       1       1       1 to	kill	In
      1       1       1       1       1 to	its	human
      1       1       1       1       1 to	individual	viewers
      1       1       1       1       1 To	Humanity	Says
      1       1       1       1       1 to	humanity	an
      1       1       1       1       1 to	help	Read
      1       1       1       1       1 to	help	not
      1       1       1       1       1 to	help	answer
      1       1       1       1       1 to	hear	at
      1       1       1       1       1 to	have	to
      1       1       1       1       1 to	handle	vast
      1       1       1       1       1 to	grander	projects
      1       1       1       1       1 to	go	Sure
      1       1       1       1       1 to	get	ready
      1       1       1       1       1 To	get	computers
      1       1       1       1       1 to	general	A
      1       1       1       1       1 to	funding	A
      1       1       1       1       1 to	fund	welfare
      1       1       1       1       1 to	fully	comprehend
      1       1       1       1       1 to	fool	students
      1       1       1       1       1 to	firmly	Tags
      1       1       1       1       1 to	finish	the
      1       1       1       1       1 to	examine	the
      1       1       1       1       1 to	essentially	become
      1       1       1       1       1 to	environment	and
      1       1       1       1       1 to	engage	in
      1       1       1       1       1 to	emerge	if
      1       1       1       1       1 to	dystopian	views
      1       1       1       1       1 to	dominate	the
      1       1       1       1       1 to	do	the
      1       1       1       1       1 to	do	something
      1       1       1       1       1 to	do	research
      1       1       1       1       1 to	do	More
      1       1       1       1       1 to	dialog	driven
      1       1       1       1       1 to	Develop	Artificial
      1       1       1       1       1 to	determine	whether
      1       1       1       1       1 to	define	and
      1       1       1       1       1 to	deal	with
      1       1       1       1       1 to	data	from
      1       1       1       1       1 to	consider	the
      1       1       1       1       1 to	combine	flights
      1       1       1       1       1 to	code	and
      1       1       1       1       1 to	choose	to
      1       1       1       1       1 to	catch	the
      1       1       1       1       1 to	build	Google
      1       1       1       1       1 to	build	autonomous
      1       1       1       1       1 to	break	into
      1       1       1       1       1 to	both	the
      1       1       1       1       1 to	boost	performance
      1       1       1       1       1 to	better	space
      1       1       1       1       1 to	benefit	from
      1       1       1       1       1 to	be	transferred
      1       1       1       1       1 to	be	passive
      1       1       1       1       1 to	be	paranoid
      1       1       1       1       1 to	be	alarmed
      1       1       1       1       1 to	automatically	elicit
      1       1       1       1       1 to	automate	routine
      1       1       1       1       1 to	attempt	to
      1       1       1       1       1 to	at	least
      1       1       1       1       1 To	assess	Jill
      1       1       1       1       1 to	ask	whether
      1       1       1       1       1 to	analyze	pricing
      1       1       1       1       1 to	an	unimaginable
      1       1       1       1       1 to	Although	the
      1       1       1       1       1 to	alter	the
      1       1       1       1       1 to	alter	employment
      1       1       1       1       1 to	AI	artificial
      1       1       1       1       1 to	advance	the
      1       1       1       1       1 to	advance	medicine
      1       1       1       1       1 to	acquire	confidential
      1       1       1       1       1 to	a	toy
      1       1       1       1       1 to	a	single
      1       1       1       1       1 to	a	majority
      1       1       1       1       1 to	a	limited
      1       1       1       1       1 to	a	Artificial
      1       1       1       1       1 tips	on	how
      1       1       1       1       1 Timur	Kalimov	is
      1       1       1       1       1 Time	Tesla	and
      1       1       1       1       1 time	last	year
      1       1       1       1       1 through	the	aperture
      1       1       1       1       1 through	red	lights
      1       1       1       1       1 through	excel	sheets
      1       1       1       1       1 through	data	in
      1       1       1       1       1 thrones	george	r
      1       1       1       1       1 Thrones	book	August
      1       1       1       1       1 Thrones	book	artificial
      1       1       1       1       1 Thrones	book	46
      1       1       1       1       1 Thrones	book	34
      1       1       1       1       1 Thrones	book	
      1       1       1       1       1 thriller	People	worry
      1       1       1       1       1 three	years	the
      1       1       1       1       1 three	rules	of
      1       1       1       1       1 three	rules	for
      1       1       1       1       1 three	laws	of
      1       1       1       1       1 three	laws	are
      1       1       1       1       1 three	days	to
      1       1       1       1       1 three	A	I
      1       1       1       1       1 threats	we	don
      1       1       1       1       1 threat	to	humanity
      1       1       1       1       1 Threat	shivers	down
      1       1       1       1       1 Threat	Order	Reprints
      1       1       1       1       1 Threat	Fashion	Style
      1       1       1       1       1 threat	but	A
      1       1       1       1       1 Threat	Artificial	Intelligence
      1       1       1       1       1 thousands	of	domains
      1       1       1       1       1 Though	concerns	and
      1       1       1       1       1 those	whose	jobs
      1       1       1       1       1 those	but	advanced
      1       1       1       1       1 those	A	I
      1       1       1       1       1 this	year	when
      1       1       1       1       1 this	year	s
      1       1       1       1       1 This	wouldn	t
      1       1       1       1       1 This	Week	When
      1       1       1       1       1 This	Week	Here
      1       1       1       1       1 This	unique	and
      1       1       1       1       1 This	transformation	will
      1       1       1       1       1 This	seems	This
      1       1       1       1       1 This	rule	would
      1       1       1       1       1 this	question	resembles
      1       1       1       1       1 this	overly	optimistic
      1       1       1       1       1 this	op	ed
      1       1       1       1       1 This	leads	to
      1       1       1       1       1 This	kind	of
      1       1       1       1       1 This	is	from
      1       1       1       1       1 this	hits	different
      1       1       1       1       1 this	genius	keep
      1       1       1       1       1 this	data	world
      1       1       1       1       1 this	as	someone
      1       1       1       1       1 this	article	appears
      1       1       1       1       1 This	anxiety	spills
      1       1       1       1       1 This	8	Crime
      1       1       1       1       1 third	rule	is
      1       1       1       1       1 thinking	for	workers
      1       1       1       1       1 thinking	about	how
      1       1       1       1       1 think	or	the
      1       1       1       1       1 Think	of	artificial
      1       1       1       1       1 Think	of	all
      1       1       1       1       1 think	like	humans
      1       1       1       1       1 Think	About	the
      1       1       1       1       1 things	like	identity
      1       1       1       1       1 things	like	data
      1       1       1       1       1 thing	with	their
      1       1       1       1       1 thing	They	should
      1       1       1       1       1 they	would	do
      1       1       1       1       1 they	will	be
      1       1       1       1       1 they	weren	t
      1       1       1       1       1 they	think	or
      1       1       1       1       1 They	should	A
      1       1       1       1       1 They	re	late
      1       1       1       1       1 they	re	coming
      1       1       1       1       1 they	ll	breathlessly
      1       1       1       1       1 they	have	I
      1       1       1       1       1 They	face	two
      1       1       1       1       1 they	do	now
      1       1       1       1       1 they	develop	an
      1       1       1       1       1 They	concern	situations
      1       1       1       1       1 they	commit	a
      1       1       1       1       1 They	can	do
      1       1       1       1       1 they	arrive	we
      1       1       1       1       1 They	are	simply
      1       1       1       1       1 they	are	pouring
      1       1       1       1       1 they	are	a
      1       1       1       1       1 they	also	produce
      1       1       1       1       1 TheWrap		
      1       1       1       1       1 Theses	are	technological
      1       1       1       1       1 these	weapons	could
      1       1       1       1       1 These	three	laws
      1       1       1       1       1 these	days	but
      1       1       1       1       1 These	challenges	are
      1       1       1       1       1 these	benefits	with
      1       1       1       1       1 These	are	jobs
      1       1       1       1       1 These	3	stocks
      1       1       1       1       1 there	will	be
      1       1       1       1       1 there	will	again
      1       1       1       1       1 there	The	solution
      1       1       1       1       1 there	is	something
      1       1       1       1       1 there	is	no
      1       1       1       1       1 there	are	valid
      1       1       1       1       1 there	are	no
      1       1       1       1       1 there	are	hundreds
      1       1       1       1       1 There	are	fascinating
      1       1       1       1       1 then	smart	machines
      1       1       1       1       1 then	nations	like
      1       1       1       1       1 then	I	read
      1       1       1       1       1 then	A	I
      1       1       1       1       1 themselves	how	to
      1       1       1       1       1 themselves	and	make
      1       1       1       1       1 theme	at	this
      1       1       1       1       1 them	to	a
      1       1       1       1       1 them	here	as
      1       1       1       1       1 them	according	to
      1       1       1       1       1 their	workers	what
      1       1       1       1       1 their	results	with
      1       1       1       1       1 their	own	nonhuman
      1       1       1       1       1 their	new	leader
      1       1       1       1       1 their	human	developers
      1       1       1       1       1 their	exceptional	ability
      1       1       1       1       1 their	efforts	into
      1       1       1       1       1 their	content	The
      1       1       1       1       1 their	booking	engines
      1       1       1       1       1 their	battle	is
      1       1       1       1       1 their	artificial	intelligence
      1       1       1       1       1 their	A	I
      1       1       1       1       1 theft	denial	of
      1       1       1       1       1 the	wrong	person
      1       1       1       1       1 the	world	rather
      1       1       1       1       1 the	world	monopolist
      1       1       1       1       1 the	world	may
      1       1       1       1       1 the	world	Google
      1       1       1       1       1 the	world	for
      1       1       1       1       1 the	workforce	Looking
      1       1       1       1       1 the	weather	or
      1       1       1       1       1 the	way	you
      1       1       1       1       1 the	way	they
      1       1       1       1       1 the	verge	of
      1       1       1       1       1 the	use	and
      1       1       1       1       1 the	United	States
      1       1       1       1       1 the	ultimate	intellectual
      1       1       1       1       1 the	two	companies
      1       1       1       1       1 The	twist	rather
      1       1       1       1       1 the	transition	IEEE
      1       1       1       1       1 the	Topics	Artificial
      1       1       1       1       1 the	three	laws
      1       1       1       1       1 the	Threat	of
      1       1       1       1       1 the	These	three
      1       1       1       1       1 the	The	superhero
      1       1       1       1       1 The	technology	entrepreneur
      1       1       1       1       1 the	technology	across
      1       1       1       1       1 The	technologists	are
      1       1       1       1       1 the	technologies	many
      1       1       1       1       1 the	tangible	impact
      1       1       1       1       1 the	system	
      1       1       1       1       1 The	Superintelligent	Will
      1       1       1       1       1 The	superhero	of
      1       1       1       1       1 the	standard	AI
      1       1       1       1       1 the	source	of
      1       1       1       1       1 the	solutions	to
      1       1       1       1       1 The	solution	to
      1       1       1       1       1 the	social	networking
      1       1       1       1       1 the	social	causes
      1       1       1       1       1 the	smartest	said
      1       1       1       1       1 the	smartest	people
      1       1       1       1       1 the	sixth	book
      1       1       1       1       1 the	singularity	that
      1       1       1       1       1 the	Silicon	Valley
      1       1       1       1       1 the	series	that
      1       1       1       1       1 The	security	system
      1       1       1       1       1 the	sector	join
      1       1       1       1       1 the	search	engine
      1       1       1       1       1 the	same	A
      1       1       1       1       1 the	safety	of
      1       1       1       1       1 the	robustness	and
      1       1       1       1       1 the	Robot	waits
      1       1       1       1       1 the	Robot	participate
      1       1       1       1       1 the	Robot	left
      1       1       1       1       1 the	Robot	is
      1       1       1       1       1 the	RISE	Technology
      1       1       1       1       1 the	rise	of
      1       1       1       1       1 the	rise	in
      1       1       1       1       1 the	rest	with
      1       1       1       1       1 the	report	said
      1       1       1       1       1 The	Real	Threat
      1       1       1       1       1 the	race	to
      1       1       1       1       1 the	public	understanding
      1       1       1       1       1 the	property	of
      1       1       1       1       1 the	promise	of
      1       1       1       1       1 the	programming	language
      1       1       1       1       1 the	programmer	s
      1       1       1       1       1 the	problem	of
      1       1       1       1       1 The	problem	is
      1       1       1       1       1 The	pressures	from
      1       1       1       1       1 the	Precipice	a
      1       1       1       1       1 the	potential	of
      1       1       1       1       1 the	potential	effects
      1       1       1       1       1 The	point	of
      1       1       1       1       1 the	plot	of
      1       1       1       1       1 the	planet	or
      1       1       1       1       1 the	people	skills
      1       1       1       1       1 the	parent	nation
      1       1       1       1       1 The	outlying	specialized
      1       1       1       1       1 the	outlook	isn
      1       1       1       1       1 the	opaque	nature
      1       1       1       1       1 the	Obama	under
      1       1       1       1       1 the	next	great
      1       1       1       1       1 the	next	Game
      1       1       1       1       1 the	next	frontier
      1       1       1       1       1 the	next	A
      1       1       1       1       1 the	new	focus
      1       1       1       1       1 the	natural	next
      1       1       1       1       1 the	nation	s
      1       1       1       1       1 the	mystery	It
      1       1       1       1       1 the	multi	millennia
      1       1       1       1       1 the	Movies	Transcendence
      1       1       1       1       1 the	most	prominent
      1       1       1       1       1 the	most	practical
      1       1       1       1       1 the	most	influential
      1       1       1       1       1 the	more	so
      1       1       1       1       1 The	more	data
      1       1       1       1       1 the	money	created
      1       1       1       1       1 the	money	being
      1       1       1       1       1 the	moment	there
      1       1       1       1       1 the	minority	Artificial
      1       1       1       1       1 the	millions	from
      1       1       1       1       1 the	matter	more
      1       1       1       1       1 The	Master	Algorithm
      1       1       1       1       1 the	man	who
      1       1       1       1       1 the	looming	A
      1       1       1       1       1 the	long	term
      1       1       1       1       1 the	limitations	of
      1       1       1       1       1 the	likely	impact
      1       1       1       1       1 the	life	It
      1       1       1       1       1 the	lesson	from
      1       1       1       1       1 the	latest	incarnation
      1       1       1       1       1 The	latest	entrant
      1       1       1       1       1 the	last	three
      1       1       1       1       1 the	largest	open
      1       1       1       1       1 the	Korean	Go
      1       1       1       1       1 The	Keynesian	approach
      1       1       1       1       1 the	jobs	it
      1       1       1       1       1 the	job	market
      1       1       1       1       1 the	intricate	yet
      1       1       1       1       1 the	interest	of
      1       1       1       1       1 the	initiative	to
      1       1       1       1       1 the	information	that
      1       1       1       1       1 the	industry	as
      1       1       1       1       1 the	Industrial	Revolution
      1       1       1       1       1 the	increasing	number
      1       1       1       1       1 the	implications	of
      1       1       1       1       1 the	impact	of
      1       1       1       1       1 the	iconic	In
      1       1       1       1       1 the	human	interface
      1       1       1       1       1 the	human	brain
      1       1       1       1       1 the	headline	The
      1       1       1       1       1 the	headline	Intel
      1       1       1       1       1 the	headline	How
      1       1       1       1       1 the	headline	Artificial
      1       1       1       1       1 the	headline	A
      1       1       1       1       1 the	HBO	show
      1       1       1       1       1 the	haves	and
      1       1       1       1       1 the	have	nots
      1       1       1       1       1 the	hands	of
      1       1       1       1       1 the	growing	list
      1       1       1       1       1 the	government	should
      1       1       1       1       1 the	Google	owned
      1       1       1       1       1 the	Google	computer
      1       1       1       1       1 the	Global	X
      1       1       1       1       1 the	global	software
      1       1       1       1       1 the	game	of
      1       1       1       1       1 the	game	By
      1       1       1       1       1 the	future	Photo
      1       1       1       1       1 the	full	gamut
      1       1       1       1       1 the	front	lines
      1       1       1       1       1 The	free	tool
      1       1       1       1       1 the	founders	of
      1       1       1       1       1 the	founder	of
      1       1       1       1       1 the	first	time
      1       1       1       1       1 The	first	more
      1       1       1       1       1 the	final	and
      1       1       1       1       1 the	field	of
      1       1       1       1       1 the	field	For
      1       1       1       1       1 the	fastest	but
      1       1       1       1       1 the	factory	floor
      1       1       1       1       1 the	Facebook	Microsoft
      1       1       1       1       1 the	F	B
      1       1       1       1       1 the	experiment	was
      1       1       1       1       1 the	existence	of
      1       1       1       1       1 the	event	as
      1       1       1       1       1 The	Ethics	of
      1       1       1       1       1 the	entire	compendium
      1       1       1       1       1 the	enormous	engagement
      1       1       1       1       1 the	employment	prospects
      1       1       1       1       1 the	emerging	ethics
      1       1       1       1       1 the	Economy	White
      1       1       1       1       1 the	early	days
      1       1       1       1       1 the	dominant	theme
      1       1       1       1       1 the	discussion	forum
      1       1       1       1       1 the	dirty	little
      1       1       1       1       1 the	director	of
      1       1       1       1       1 the	dependent	country
      1       1       1       1       1 the	dangers	of
      1       1       1       1       1 the	corporate	earnings
      1       1       1       1       1 the	contrary	the
      1       1       1       1       1 the	consumers	infatuated
      1       1       1       1       1 the	computer	revolution
      1       1       1       1       1 the	company	s
      1       1       1       1       1 The	company	just
      1       1       1       1       1 The	company	has
      1       1       1       1       1 the	companies	that
      1       1       1       1       1 the	Committee	appointed
      1       1       1       1       1 the	cloud	and
      1       1       1       1       1 the	city	s
      1       1       1       1       1 the	chief	technology
      1       1       1       1       1 the	chief	executive
      1       1       1       1       1 the	channels	Zone
      1       1       1       1       1 the	changing	competitive
      1       1       1       1       1 the	case	of
      1       1       1       1       1 the	breakthroughs	This
      1       1       1       1       1 the	breakthrough	removes
      1       1       1       1       1 the	box	Science
      1       1       1       1       1 the	better	your
      1       1       1       1       1 the	better	the
      1       1       1       1       1 the	best	practices
      1       1       1       1       1 the	best	human
      1       1       1       1       1 the	Beneficial	AI
      1       1       1       1       1 the	beginning	of
      1       1       1       1       1 the	basis	of
      1       1       1       1       1 the	barn	and
      1       1       1       1       1 the	automation	of
      1       1       1       1       1 the	author	with
      1       1       1       1       1 the	audience	what
      1       1       1       1       1 The	Assistant	Professor
      1       1       1       1       1 the	areas	of
      1       1       1       1       1 the	aperture	of
      1       1       1       1       1 the	answer	will
      1       1       1       1       1 the	answer	to
      1       1       1       1       1 the	answer	is
      1       1       1       1       1 the	amorphous	and
      1       1       1       1       1 the	aigency	is
      1       1       1       1       1 The	AI	is
      1       1       1       1       1 the	adoption	of
      1       1       1       1       1 the	academy	and
      1       1       1       1       1 the	1960s	and
      1       1       1       1       1 the		
      1       1       1       1       1 that	your	child
      1       1       1       1       1 that	won	t
      1       1       1       1       1 that	will	lead
      1       1       1       1       1 that	whoever	reaches
      1       1       1       1       1 that	we	ve
      1       1       1       1       1 that	we	should
      1       1       1       1       1 that	we	couldn
      1       1       1       1       1 that	we	can
      1       1       1       1       1 that	was	co
      1       1       1       1       1 that	violate	international
      1       1       1       1       1 that	there	will
      1       1       1       1       1 that	there	are
      1       1       1       1       1 that	the	These
      1       1       1       1       1 that	the	race
      1       1       1       1       1 that	the	lesson
      1       1       1       1       1 that	the	HBO
      1       1       1       1       1 that	takes	in
      1       1       1       1       1 that	sort	of
      1       1       1       1       1 that	society	needs
      1       1       1       1       1 that	security	researchers
      1       1       1       1       1 that	s	lashing
      1       1       1       1       1 that	s	a
      1       1       1       1       1 that	Russia	would
      1       1       1       1       1 that	risk	seriously
      1       1       1       1       1 that	recently	beat
      1       1       1       1       1 that	potentially	stand
      1       1       1       1       1 that	point	in
      1       1       1       1       1 that	places	top
      1       1       1       1       1 that	our	A
      1       1       1       1       1 that	now	exist
      1       1       1       1       1 that	neither	of
      1       1       1       1       1 That	My	three
      1       1       1       1       1 that	mean	This
      1       1       1       1       1 that	may	not
      1       1       1       1       1 that	many	investors
      1       1       1       1       1 that	large	chunks
      1       1       1       1       1 that	it	was
      1       1       1       1       1 that	it	still
      1       1       1       1       1 that	information	Because
      1       1       1       1       1 That	includes	machine
      1       1       1       1       1 that	improve	productivity
      1       1       1       1       1 that	if	we
      1       1       1       1       1 that	identify	images
      1       1       1       1       1 that	I	ll
      1       1       1       1       1 that	humorously	impersonated
      1       1       1       1       1 that	humans	can
      1       1       1       1       1 that	give	people
      1       1       1       1       1 that	follows	the
      1       1       1       1       1 that	explains	deep
      1       1       1       1       1 that	experiments	like
      1       1       1       1       1 that	entrap	people
      1       1       1       1       1 that	drive	through
      1       1       1       1       1 that	doesn	t
      1       1       1       1       1 that	discusses	AI
      1       1       1       1       1 that	diagnose	cancer
      1       1       1       1       1 that	developments	in
      1       1       1       1       1 that	development	Artificial
      1       1       1       1       1 that	develop	A
      1       1       1       1       1 that	country	s
      1       1       1       1       1 that	confuses	A
      1       1       1       1       1 that	artificial	intelligence
      1       1       1       1       1 that	are	programmed
      1       1       1       1       1 that	are	inspired
      1       1       1       1       1 that	are	almost
      1       1       1       1       1 that	are	able
      1       1       1       1       1 that	apply	to
      1       1       1       1       1 that	anyone	building
      1       1       1       1       1 that	an	artificial
      1       1       1       1       1 that	an	A
      1       1       1       1       1 that	adopt	it
      1       1       1       1       1 thanks	in	part
      1       1       1       1       1 thank	For	that
      1       1       1       1       1 than	Yes	but
      1       1       1       1       1 than	trying	to
      1       1       1       1       1 than	they	do
      1       1       1       1       1 than	the	property
      1       1       1       1       1 than	restricting	them
      1       1       1       1       1 than	nukes	And
      1       1       1       1       1 than	most	people
      1       1       1       1       1 than	just	common
      1       1       1       1       1 than	employing	TV
      1       1       1       1       1 than	bet	they
      1       1       1       1       1 than	anything	else
      1       1       1       1       1 than	a	central
      1       1       1       1       1 than	400	million
      1       1       1       1       1 textbook	for	two
      1       1       1       1       1 tests	by	having
      1       1       1       1       1 terrorists	protected	from
      1       1       1       1       1 terrorist	threats	we
      1       1       1       1       1 Terrifyingly	Google	s
      1       1       1       1       1 term	thanks	in
      1       1       1       1       1 term	future	of
      1       1       1       1       1 tend	to	be
      1       1       1       1       1 Tencent	are	making
      1       1       1       1       1 temperatures	Source	Climatecentral
      1       1       1       1       1 Tells	Us	About
      1       1       1       1       1 tellers	Unlike	the
      1       1       1       1       1 tell	you	what
      1       1       1       1       1 tell	you	we
      1       1       1       1       1 Tegmark	The	Future
      1       1       1       1       1 technology	that	takes
      1       1       1       1       1 technology	s	hottest
      1       1       1       1       1 technology	officer	for
      1       1       1       1       1 technology	more	than
      1       1       1       1       1 Technology	Intel	While
      1       1       1       1       1 technology	expert	about
      1       1       1       1       1 technology	entrepreneur	Elon
      1       1       1       1       1 Technology	Conference	Isaac
      1       1       1       1