ABOUT THE SPEAKER
Garry Kasparov - Grandmaster, analyst
Garry Kasparov is esteemed by many as the greatest chess player of all time. Now he’s engaged in a game with far higher stakes: the preservation of democracy.

Why you should listen

Garry Kasparov became the youngest world champion ever at 22 in 1985 and spent twenty years as the world's top-rated player. His legendary matches against the IBM supercomputer Deep Blue in 1996 and 1997 made him a central figure in artificial intelligence and the evolution of the human-machine relationship. He retired from chess in 2005 to become a leader of the Russian pro-democracy movement against the rising dictatorship of Vladimir Putin. He is the chairman of the New York-based Human Rights Foundation and has become a powerful voice for individual freedom worldwide. As a Senior Visiting Fellow at the Oxford Martin School, Kasparov specializes in interdisciplinary collaboration and, as he puts it, "how our technology can make us more human." He is a member of the executive board of the Foundation for Responsible Robotics.

Kasparov's latest book is Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins, which details his legendary matches against Deep Blue and shares his optimistic insights into our human plus machine future. His 2015 book Winter Is Coming detailed the rise of Putin's Russia as well as Kasparov's persecution and self-exile, and it serves chilling warnings of reactionary forces gathering in the West.

More profile about the speaker
Garry Kasparov | Speaker | TED.com
TED2017

Garry Kasparov: Don't fear intelligent machines. Work with them

Filmed:
1,595,117 views

We must face our fears if we want to get the most out of technology -- and we must conquer those fears if we want to get the best out of humanity, says Garry Kasparov. One of the greatest chess players in history, Kasparov lost a memorable match to IBM supercomputer Deep Blue in 1997. Now he shares his vision for a future where intelligent machines help us turn our grandest dreams into reality.
- Grandmaster, analyst
Garry Kasparov is esteemed by many as the greatest chess player of all time. Now he’s engaged in a game with far higher stakes: the preservation of democracy. Full bio

Double-click the English transcript below to play the video.

00:12
This storypriča beginspočinje in 1985,
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Priča počinje 1985.,
00:15
when at agedob 22,
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1976
kada sam sa 22 godine,
00:17
I becamepostao the WorldSvijet ChessŠah ChampionPrvak
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postao svjetski prvak u šahu
00:20
after beatingbijenje AnatolyŽivko KarpovOprostiteznam nekoga tamo.
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nakon što sam pobijedio Anatolya Karpova.
00:24
EarlierRanije that yeargodina,
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Ranije te godine,
00:25
I playedigrao what is calledzvao
simultaneoussimultano exhibitionizložba
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igrao sam nešto što se zove
simultanka
00:29
againstprotiv 32 of the world'ssvijetu
bestnajbolje chess-playingšah igra machinesstrojevi
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protiv 32 najbolja stroja
na svijetu koji igraju šah
00:33
in HamburgHamburg, GermanyNjemačka.
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u Hamburgu, Njemačkoj.
00:36
I wonwon all the gamesigre,
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Pobijedio sam,
00:38
and then it was not consideredsmatra
much of a surpriseiznenađenje
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i tada to nije bilo neko iznenađenje
00:41
that I could beatpobijediti 32 computersračunala
at the sameisti time.
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da sam uspio pobijediti 32 računala
u isto vrijeme.
00:46
To me, that was the goldenzlatan agedob.
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Za mene, to je bilo zlatno doba.
00:49
(LaughterSmijeh)
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(Smijeh)
00:51
MachinesStrojevi were weakslab,
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Strojevi su bili slabi,
00:53
and my hairdlaka was strongjak.
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a moja kosa bila je jaka.
00:55
(LaughterSmijeh)
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(Smijeh)
00:58
Just 12 yearsgodina laterkasnije,
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Samo 12 godina kasnije,
01:00
I was fightingborba for my life
againstprotiv just one computerračunalo
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borio sam se za život
protiv samo jednog računala
01:05
in a matchutakmica
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u partiji
01:07
calledzvao by the coverpokriti of "NewsweekNewsweek"
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koje prema naslovnici "Newsweeka"
01:09
"The Brain'sMozak je Last StandStajati."
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bila "Posljednje uporište mozga."
01:11
No pressurepritisak.
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Bez pritiska.
01:12
(LaughterSmijeh)
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(Smijeh)
01:15
From mythologymitologija to scienceznanost fictionfikcija,
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Od mitologije do znanstvene fantastike,
01:17
humanljudski versusprotiv machinemašina
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borba čovjeka protiv stroja
01:20
has been oftenčesto portrayedprikazan
as a matterstvar of life and deathsmrt.
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prikazivana je kao
stvar života i smrti.
01:23
JohnJohn HenryHenry,
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John Henry,
01:25
calledzvao the steel-drivingčelik-vožnje man
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čovjek poznat kao tjerač čelika
01:27
in the 19thth centurystoljeće
AfricanAfrička AmericanAmerički folknarodne legendlegenda,
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u 19. stoljeću
Afro Američka narodna legenda,
01:31
was pittedbez koštice in a raceutrka
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stavljen je u utrku
01:32
againstprotiv a steam-poweredparni-powered hammerčekić
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protiv čekića pogonjenog parnim strojem
01:35
bashingbashing a tunneltunel throughkroz mountainplanina rockstijena.
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probijajući tunel kroz planinsku stijenu.
01:38
JohnJohn Henry'sHenry je legendlegenda
is a partdio of a long historicalpovijesni narrativepripovijest
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Legenda Johna Henrya je dio
dugog povijesnog narativa
01:43
pittingrupičaste humanityčovječanstvo versusprotiv technologytehnologija.
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koji stavlja čovječanstvo protiv strojeva.
01:48
And this competitivekonkurentan rhetoricretorika
is standardstandard now.
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I ta natjecateljska retorika
je sada standardna.
01:51
We are in a raceutrka againstprotiv the machinesstrojevi,
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U utrci smo protiv strojeva,
01:54
in a fightborba or even in a warrat.
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u borbi ili čak i ratu.
01:57
JobsRadnih mjesta are beingbiće killedubijen off.
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Poslovi nestaju.
01:59
People are beingbiće replacedzamijeniti
as if they had vanishednestala from the EarthZemlja.
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Ljude zamjenjuju kao
da su nestali s lica Zemlje.
02:04
It's enoughdovoljno to think that the moviesfilmovi
like "The TerminatorOnaj koji ograničuje" or "The MatrixMatrica"
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Dovoljno je pomisliti na to da
filmovi poput "Terminatora" ili "Matrixa"
02:07
are nonfictionpublicistika.
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nisu fikcija.
02:11
There are very fewnekoliko instancesslučajevi of an arenaarena
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Postoji samo nekoliko područja u areni
02:17
where the humanljudski bodytijelo and mindum
can competekonkurirati on equaljednak termsUvjeti
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gdje se ljudski tijelo i um
mogu natjecati pod istim uvjetima
02:21
with a computerračunalo or a robotrobot.
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sa računalom ili robotom.
02:24
ActuallyZapravo, I wishželja there were a fewnekoliko more.
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Zapravo, volio bih da ih ima više.
02:27
InsteadUmjesto toga,
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Umjesto toga,
02:29
it was my blessingblagoslov and my cursekletva
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moj blagoslov i prokletstvo
02:34
to literallydoslovce becomepostati the proverbialposlovična man
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bilo je postati čovjekom
02:37
in the man versusprotiv machinemašina competitionkonkurencija
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u natjecanju između čovjeka i stroja
02:40
that everybodysvi is still talkingkoji govori about.
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o kojem svi još uvijek pričaju.
02:45
In the mostnajviše famouspoznat human-machinečovjeka i stroja
competitionkonkurencija sinceod JohnJohn HenryHenry,
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U najslavnijem srazu čovjeka i stroja
od doba Johna Henrya,
02:50
I playedigrao two matchesodgovara
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odigrao sam dvije partije
02:52
againstprotiv the IBMIBM supercomputersuperračunalo, DeepDuboko BluePlava.
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protiv IBM superračunala, Deep Blue.
02:59
NobodyNitko ne rememberspamti
that I wonwon the first matchutakmica --
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Ali ne sjećate se da sam
prvi put pobijedio --
03:01
(LaughterSmijeh)
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(Smijeh)
03:03
(ApplausePljesak)
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(Pljesak)
03:07
In PhiladelphiaPhiladelphia, before losinggubljenje the rematchiznova
the followingsljedeći yeargodina in NewNovi YorkYork.
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U Philadelphiji, prije nego sam izgubio
revanš sljedeće godine u New Yorku.
03:12
But I guessnagađati that's fairfer.
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Ali mislim da je to pošteno.
03:16
There is no day in historypovijest,
specialposeban calendarkalendar entryulaz
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Ne postoji dan u povijesti,
poseban unos na kalendaru
03:21
for all the people
who failedneuspjeh to climbpopeti se MtMt. EverestEverest
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za sve ljude koji se nisu
uspeli na Mt. Everest
03:24
before SirGospodine EdmundEdmund HillaryHillary
and TenzingTenzing NorgayNorgay
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prije nego su Sir Edmund Hillary
i Tenzing Norgay
03:27
madenapravljen it to the topvrh.
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došli do vrha.
03:29
And in 1997, I was still
the worldsvijet championprvak
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A 1997., ja sam i dalje bio
svjetski prvak
03:36
when chessšah computersračunala finallykonačno camedošao of agedob.
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kada su računala za šah sazrijela.
03:41
I was MtMt. EverestEverest,
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Bio sam Mt. Everest,
03:43
and DeepDuboko BluePlava reachedpostignut the summitvrh.
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i Deep Blue je došao do vrha.
03:46
I should say of coursenaravno,
not that DeepDuboko BluePlava did it,
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Trebao bih naravno reći,
ne da je Deep Blue to postigao,
03:50
but its humanljudski creatorskreatori --
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već njegovi ljudski tvorci --
03:52
AnantharamanMarija, CampbellCampbell, HoaneHoane, HsuHsu.
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Anantharaman, Campbell, Hoane, Hsu.
03:56
HatsKape off to them.
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Skidam im kapu.
03:58
As always, machine'sstroj je triumphtrijumf
was a humanljudski triumphtrijumf,
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Kao i uvijek, uspjeh stroja
bio je ljudski uspjeh,
04:03
something we tendskloni to forgetzaboraviti when humansljudi
are surpassednadmašio je by our ownvlastiti creationskreacije.
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nešto što često zaboravljamo kada ljude
prestignu vlastite kreacije.
04:10
DeepDuboko BluePlava was victoriouspobjednik,
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Deep Blue je pobijedio,
04:13
but was it intelligentinteligentan?
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ali da li je bio inteligentan?
04:15
No, no it wasn'tnije,
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Ne, nije,
04:18
at leastnajmanje not in the way AlanAlan TuringTuringov
and other foundersOsnivači of computerračunalo scienceznanost
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bar ne onako kako su Alan Turing
i osnivači znanosti o računalima
04:23
had hopednadao.
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se nadali.
04:25
It turnedokrenut out that chessšah
could be crunchedcrunched by brutenasilje forcesila,
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Ispalo je da se šah
može računati silom,
04:30
oncejednom hardwarehardver got fastbrzo enoughdovoljno
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jednom kada je hardware postao
dovoljno brz
04:34
and algorithmsalgoritmi got smartpametan enoughdovoljno.
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i algoritmi dovoljno pametni.
04:38
AlthoughIako by the definitiondefinicija of the outputizlaz,
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Iako po definiciji rezultata,
04:42
grandmaster-levelVelemajstor razini chessšah,
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velemajstorska razina šaha,
04:45
DeepDuboko BluePlava was intelligentinteligentan.
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Deep Blue bio je inteligentan.
04:49
But even at the incrediblenevjerojatan speedubrzati,
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Ali čak i pri nevjerojatnoj brzini,
04:52
200 millionmilijuna positionspozicije perpo seconddrugi,
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od 200 milijuna pozicija u sekundi,
04:57
DeepDuboko Blue'sPlava je methodnačin
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metoda Deep Bluea
04:59
providedako little of the dreamed-ofsanjao o insightuvid
into the mysteriestajne of humanljudski intelligenceinteligencija.
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davala je malo željenog uvida
u misterije ljudske inteligencije.
05:08
SoonUskoro,
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Uskoro,
05:10
machinesstrojevi will be taxitaksi driversupravljački programi
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strojevi će voziti taksije
05:13
and doctorsliječnici and professorsprofesori,
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i biti liječnici i profesori,
05:15
but will they be "intelligentinteligentan?"
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ali hoće li biti "inteligentni?"
05:19
I would ratherradije leavenapustiti these definitionsdefinicije
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Rađe bih ostavio ove definicije
05:22
to the philosophersfilozofi and to the dictionaryrječnik.
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filozofima i riječniku.
05:27
What really matterspitanja is how we humansljudi
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Ono što je zaista važno je
kako se mi ljudi
05:32
feel about livingživot and workingrad
with these machinesstrojevi.
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osjećamo vezano uz rad i život
s tim strojevima.
05:38
When I first metsastali DeepDuboko BluePlava
in 1996 in FebruaryVeljača,
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Kada sam upoznao Deep Blue
1996. u veljači,
05:43
I had been the worldsvijet championprvak
for more than 10 yearsgodina,
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bio sam svjetski prvak
više od 10 godina,
05:48
and I had playedigrao 182
worldsvijet championshipprvenstvo gamesigre
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i odigrao sam 182
partije za svjetsko prvenstvo
05:52
and hundredsstotine of gamesigre againstprotiv
other topvrh playersigrači in other competitionsnatjecanja.
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i stotine partija protiv
vrhunskih igrača u drugim natjecanjima.
05:57
I knewznao what to expectočekivati from my opponentsprotivnici
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I znao sam što očekivati
od protivnika
06:02
and what to expectočekivati from myselfsebe.
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i od sebe.
06:04
I was used to measuremjera theirnjihov movespotezi
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Navikao sam mjeriti njihove poteze
06:09
and to gaugemjerač theirnjihov emotionalemotivan statedržava
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i pratiti njihovo emocionalno stanje
06:13
by watchinggledanje theirnjihov bodytijelo languagejezik
and looking into theirnjihov eyesoči.
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gledajući govor tijela
i gledajući ih u oči.
06:17
And then I satsat acrosspreko
the chessboardšahovska ploča from DeepDuboko BluePlava.
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Tada sam sjeo za šahovsku ploču
prekoputa Deep Bluea.
06:24
I immediatelyodmah sensedosjetio something newnovi,
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Odmah sam osjetio nešto novo,
06:27
something unsettlinguznemirujuće.
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nešto uznemirujuće.
06:31
You mightmoć experienceiskustvo a similarsličan feelingosjećaj
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Možda ste iskusili sličan
osjećaj
06:35
the first time you ridevožnja
in a driverlessSvjetlopropusni carautomobil
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prvi puta kada ste sjedili
u autu bez vozača
06:37
or the first time your newnovi computerračunalo
managermenadžer issuespitanja an ordernarudžba at work.
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ili prvi put kad vam vaš
računalni nadzornik izda zadatke na poslu
06:45
But when I satsat at that first gameigra,
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Ali kada sam sjeo za tu prvu partiju,
06:50
I couldn'tne mogu be sure
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nisam bio siguran
06:52
what is this thing capablesposoban of.
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što je ta stvar sposobna učiniti.
06:56
TechnologyTehnologija can advancenapredovati in leapsskokovi,
and IBMIBM had investeduloženo heavilyteško.
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Tehnologija može napredovati skokovito,
i IBM je puno investirao.
07:00
I lostizgubljen that gameigra.
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Izgubio sam tu partiju.
07:04
And I couldn'tne mogu help wonderingpitate,
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I nisam se mogao ne zapitati
07:06
mightmoć it be invinciblenepobjediv?
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da li je možda nepobjediv?
07:08
Was my beloveddragi gameigra of chessšah over?
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Je li moja ljubljena igra šaha gotova?
07:12
These were humanljudski doubtssumnje, humanljudski fearsstrahovi,
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Ovo su bile ljudske sumnje,
ljudski strahovi,
07:16
and the only thing I knewznao for sure
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i jedino što sam zasigurno znao
07:19
was that my opponentprotivnik DeepDuboko BluePlava
had no suchtakav worriesbrige at all.
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je da moj protivnik, Deep Blue
nema takve brige.
07:22
(LaughterSmijeh)
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(Smijeh)
07:25
I foughtborio back
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Uzvratio sam mu
07:28
after this devastatingporažavajući blowudarac
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nakon ovog razarajućeg udarca
07:31
to winpobijediti the first matchutakmica,
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da pobijedim prvu partiju,
07:32
but the writingpisanje was on the wallzid.
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ali rezultat je bio zapisan.
07:36
I eventuallyeventualno lostizgubljen to the machinemašina
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Na kraju sam izgubio od stroja
07:38
but I didn't sufferpatiti the fatesudbina of JohnJohn HenryHenry
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ali nisam doživio istu sudbinu
kao John Henry
07:41
who wonwon but diedumro
with his hammerčekić in his handruka.
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koji je pobijedio ali umro
s čekićem u rukama.
07:49
It turnedokrenut out that the worldsvijet of chessšah
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Ispalo je da svijet šaha
07:52
still wanted to have
a humanljudski chessšah championprvak.
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i dalje želi imati ljudskog prvaka.
07:56
And even todaydanas,
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I čak i danas,
08:00
when a freebesplatno chessšah appapp
on the latestnajnoviji mobilemobilni phonetelefon
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kada je besplatna aplikacija za šah
na najnovijem mobitelu
08:03
is strongerjači than DeepDuboko BluePlava,
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jača od Deep Bluea,
08:05
people are still playingigranje chessšah,
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ljudi i dalje igraju šah,
08:08
even more than ever before.
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čak i više nego ikad prije.
08:11
DoomsayersMnogi koji predictedpredvidjeti
that nobodynitko would touchdodir the gameigra
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Proricatelji kraja predvidjeli su
da nitko neće dirnuti igru
08:15
that could be conqueredosvojen by the machinemašina,
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koju može svladati stroj,
08:17
and they were wrongpogrešno, provendokazan wrongpogrešno,
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i bili su u krivu, dokazano je da su u krivu,
08:19
but doomsayingdoomsaying has always been
a popularpopularan pastimerazbibriga
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ali proricanje kraja je uvijek
bila popularna razbibriga
08:23
when it comesdolazi to technologytehnologija.
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kada je riječ o tehnologiji.
08:26
What I learnednaučeno from my ownvlastiti experienceiskustvo
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Ono što sam naučio iz vlastita iskustva
08:29
is that we mustmora facelice our fearsstrahovi
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je da se moramo suočiti sa strahovima
08:33
if we want to get the mostnajviše
out of our technologytehnologija,
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ako želimo izvući najviše iz naše
tehnologije,
08:38
and we mustmora conquerosvojiti those fearsstrahovi
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i moramo svladati te strahove
08:40
if we want to get the bestnajbolje
out of our humanityčovječanstvo.
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ako želimo izvući najbolje
iz naše čovječnosti.
08:48
While lickinglizanje my woundsrane,
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Dok sam si vidao rane,
08:49
I got a lot of inspirationinspiracija
147
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dobio sam puno inspiracije
08:53
from my battlesbitke againstprotiv DeepDuboko BluePlava.
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za svoje borbe protiv Deep Bluea.
08:55
As the oldstar Russianruski sayingizreka goeside,
if you can't beatpobijediti them, joinpridružiti them.
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Stara ruska izreka kaže
ako ne možeš pobijediti, pridruži im se.
09:00
Then I thought,
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Onda sam pomislio,
09:02
what if I could playigrati with a computerračunalo --
151
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što ako mogu igrati s računalom --
09:04
togetherzajedno with a computerračunalo at my sidestrana,
combiningKombinirajući our strengthsprednosti,
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zajedno s računalom na mojoj strani,
udružujući naše snage,
09:09
humanljudski intuitionintuicija
plusplus machine'sstroj je calculationračunanje,
153
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ljudsku intuiciju
i računalne kalkulacije,
09:12
humanljudski strategystrategija, machinemašina tacticstaktika,
154
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ljudsku strategiju, računalnu taktiku,
09:15
humanljudski experienceiskustvo, machine'sstroj je memorymemorija.
155
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ljudsko iskustvo, pamćenje računala.
09:18
Could it be the perfectsavršen gameigra ever playedigrao?
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Bi li to bila savršeno odigrana igra?
09:22
My ideaideja camedošao to life
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Moja ideja je zaživjela
09:24
in 1998 underpod the nameime of AdvancedNapredno ChessŠah
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1988. pod imenom Napredni Šah
09:28
when I playedigrao this human-plus-machineHuman plus za
competitionkonkurencija againstprotiv anotherjoš eliteelita playerigrač.
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kad sam igrao čovjek-plus-stroj natjecanje
protiv još jednog elitnog igrača.
09:35
But in this first experimenteksperiment,
160
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Ali u prvom eksperimentu,
09:37
we bothoba failedneuspjeh to combinekombinirati
humanljudski and machinemašina skillsvještine effectivelyučinkovito.
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nismo uspjeli učinkovito spojiti
ljudske i strojne vještine.
09:46
AdvancedNapredno ChessŠah foundpronađeno
its home on the internetInternet,
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Napredni Šah našao je svoj dom
na Internetu,
09:50
and in 2005, a so-calledtakozvani
freestyleslobodno chessšah tournamentturnir
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i 2005. šah turnir odigran
slobodnim stilom
09:55
producedizrađen a revelationotkrivanje.
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doveo je do otkrića.
09:59
A teamtim of grandmastersvelikom
and topvrh machinesstrojevi participatedsudjelovao,
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Tim velemajstora
i vrhunskih strojeva sudjelovao je
10:02
but the winnerspobjednici were not grandmastersvelikom,
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ali pobjednici nisu bili velemajstori,
10:05
not a supercomputersuperračunalo.
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niti superračunalo.
10:07
The winnerspobjednici were a pairpar
of amateuramater AmericanAmerički chessšah playersigrači
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Pobjednik je bio par američkih
amatera
10:12
operatingradni threetri ordinaryobičan PCsPC-evi
at the sameisti time.
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sa tri obična računala koja su radila
u isto vrijeme.
10:17
TheirNjihova skillvještina of coachingtreniranju theirnjihov machinesstrojevi
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Njihove vještine u treniranju
svojih strojeva
10:20
effectivelyučinkovito counteractedprotu djelovanje
the superiorsuperioran chessšah knowledgeznanje
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učinkovito je poništila
napredno znanje šaha
10:26
of theirnjihov grandmasterVelemajstor opponentsprotivnici
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velemajstorskih protivnika
10:28
and much greaterviše
computationalračunalna powervlast of othersdrugi.
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i puno veću računalnu snagu
drugih.
10:33
And I reachedpostignut this formulationformulacija.
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1960
I došao sam do ovog zaključka.
10:36
A weakslab humanljudski playerigrač plusplus a machinemašina
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Slab ljudski igrač i stroj
10:39
plusplus a better processpostupak is superiorsuperioran
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sa boljim procesom je superiorniji
10:43
to a very powerfulsnažan machinemašina alonesam,
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od samostalnog moćnog stroja,
10:45
but more remarkablyizvanredno,
is superiorsuperioran to a strongjak humanljudski playerigrač
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ali još upečatljivije,
superiorniji je od jakog ljudskog igrača
10:49
plusplus machinemašina
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1960
i stroja
10:53
and an inferiorslabije processpostupak.
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i lošijeg procesa.
10:58
This convinceduvjeren me that we would need
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Ovo me uvjerilo da trebamo
11:02
better interfacessučelja
to help us coachtrener our machinesstrojevi
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bolja sučelja
kojima bismo trenirali naše strojeve
11:06
towardsza more usefulkoristan intelligenceinteligencija.
183
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prema korisnijoj inteligenciji.
11:10
HumanLjudski plusplus machinemašina isn't the futurebudućnost,
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Čovjek i stroj nisu budućnost,
11:13
it's the presentpredstaviti.
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to je sadašnjost.
11:14
EverybodySvi that's used onlinena liniji translationprijevod
186
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Svi koji koriste online prijevode
11:19
to get the gistSuština of a newsvijesti articlečlanak
from a foreignstrana newspapernovine,
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kako bi dobili srž članka
iz stranih novina,
11:23
knowingpoznavanje its fardaleko from perfectsavršen.
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znaju da je daleko od savršenog.
11:25
Then we use our humanljudski experienceiskustvo
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Onda koristimo naše ljudsko iskustvo
11:27
to make senseosjećaj out of that,
190
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da bismo to razumjeli,
11:29
and then the machinemašina
learnsuči from our correctionskorekcije.
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i onda stroj uči iz naših ispravaka.
11:32
This modelmodel is spreadingširenje and investingulaganja
in medicalmedicinski diagnosisdijagnoza, securitysigurnosti analysisanaliza.
192
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Ovaj model se širi i ulaže
u medicinske dijagnoze, sigurnosne analie.
11:38
The machinemašina crunchesdrobiti datapodaci,
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Stroj obrađuje podatke,
11:41
calculatesizračunava probabilitiesvjerojatnosti,
194
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računa vjerojatnost,
11:43
getsdobiva 80 percentposto of the way, 90 percentposto,
195
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dođe na 80 posto puta, 90 posto,
11:46
makingizrađivanje it easierlakše for analysisanaliza
196
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omogućujući lakšu analizu
11:51
and decision-makingodlučivanje of the humanljudski partystranka.
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i donošenje odluke od strane ljudi.
11:54
But you are not going to sendposlati your kidsdjeca
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Ali nećete poslati djecu
12:00
to schoolškola in a self-drivingself-vožnje carautomobil
with 90 percentposto accuracytočnost,
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u školu sa autom bez vozača
sa 90 postotnom točnošću,
12:04
even with 99 percentposto.
200
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1600
čak ni sa 99 postotnom.
12:07
So we need a leapskok forwardnaprijed
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Tako da moramo skočiti naprijed
12:10
to adddodati a fewnekoliko more crucialpresudan decimaldecimal placesmjesta.
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da bismo dodali nekoliko ključnih
decimalnih mjesta.
12:19
TwentyDvadeset yearsgodina after
my matchutakmica with DeepDuboko BluePlava,
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Dvadeset godina nakon moje
partije s Deep Blueom,
12:24
seconddrugi matchutakmica,
204
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druga partija,
12:25
this sensationalsenzacionalno
"The Brain'sMozak je Last StandStajati" headlinenaslov
205
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senzacionalni naslov
"Posljednje uporište mozga"
12:32
has becomepostati commonplaceuobičajena pojava
206
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postao je uobičajen
12:33
as intelligentinteligentan machinesstrojevi
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dok inteligentni strojevi
12:36
movepotez
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napreduju
12:38
in everysvaki sectorsektor, seeminglynaizgled everysvaki day.
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u svakom sektoru, čini se svakog dana.
12:42
But unlikeza razliku od in the pastprošlost,
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Ali nasuprot prošlosti
12:45
when machinesstrojevi replacedzamijeniti
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kada su strojevi zamjenjivali
12:48
farmfarma animalsživotinje, manualpriručnik laborrad,
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životinje, manualni rad,
12:50
now they are comingdolazak
after people with collegekoledž degreesstupnjeva
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sada dolaze po ljude s
fakultetskim obrazovanjem
12:53
and politicalpolitički influenceutjecaj.
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i političkim utjecajem.
12:56
And as someonenetko
who foughtborio machinesstrojevi and lostizgubljen,
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Kao netko tko se borio
protiv strojeva i izgubio,
12:58
I am here to tell you
this is excellentodličan, excellentodličan newsvijesti.
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tu sam da vam kažem
kako su to izvrsne vijesti.
13:03
EventuallyNa kraju, everysvaki professionprofesija
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U jednom trenutku svaka profesija
13:05
will have to feel these pressurespritisci
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će morati osjetiti ove pritiske
13:07
or elsedrugo it will mean humanityčovječanstvo
has ceasedprestala to make progressnapredak.
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ili će to značiti da je čovječanstvo
prestalo napredovati.
13:14
We don't
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Mi ne možemo
13:17
get to chooseizabrati
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birati
13:20
when and where
technologicaltehnološki progressnapredak stopszaustavlja.
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kada i kako staje tehnološki napredak.
13:25
We cannotNe možete
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Ne možemo ga
13:27
slowusporiti down.
224
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usporiti.
13:29
In factčinjenica,
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Zapravo,
13:31
we have to speedubrzati up.
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moramo ubrzati.
13:36
Our technologytehnologija excelsističe at removinguklanjanje
227
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Naša tehnologija izvrsna je
u uklanjanju
13:41
difficultiespoteškoće and uncertaintiesneizvjesnosti
from our livesživot,
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poteškoća i nesigurnosti iz našeg
života
13:47
and so we mustmora seektražiti out
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tako da moramo tražiti
13:49
ever more difficulttežak,
230
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uvijek teže,
13:51
ever more uncertainnesiguran challengesizazovi.
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uvijek nesigurnije izazove.
14:00
MachinesStrojevi have
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Strojevi imaju
14:03
calculationsizračuni.
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kalkulacije.
14:05
We have understandingrazumijevanje.
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Mi imamo shvaćanje.
14:07
MachinesStrojevi have instructionsinstrukcije.
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Strojevi imaju upute.
14:10
We have purposesvrha.
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Mi imamo svrhu.
14:12
MachinesStrojevi have
237
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Strojevi imaju
14:17
objectivityobjektivnost.
238
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objektivnost.
14:18
We have passionstrast.
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Mi imamo strast.
14:20
We should not worrybrinuti
about what our machinesstrojevi can do todaydanas.
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Ne bi se trebali brinuti o tome
što strojevi mogu napraviti danas.
14:26
InsteadUmjesto toga, we should worrybrinuti
about what they still cannotNe možete do todaydanas,
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Trebali bismo se brinuti o onome
što još ne mogu napraviti danas,
14:31
because we will need the help
of the newnovi, intelligentinteligentan machinesstrojevi
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jer ćemo trebati pomoć
novih, inteligentnihstrojeva
14:36
to turnskretanje our grandestsjajnih dreamssnovi into realitystvarnost.
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da naše najveće snove
pretvorimo u stvarnost.
14:42
And if we failiznevjeriti,
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i ako ne uspijemo,
14:44
if we failiznevjeriti, it's not because our machinesstrojevi
are too intelligentinteligentan,
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ako ne uspijemo, nije to zato
što u naši strojevi previše
14:48
or not intelligentinteligentan enoughdovoljno.
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ili nedovoljno inteligentni.
14:51
If we failiznevjeriti, it's because
we grewrastao complacentzadovoljan
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Ako ne uspijemo, to je zato
što smo postali nemarni
14:55
and limitedograničen our ambitionsambicije.
248
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i ograničili naše ambicije.
14:58
Our humanityčovječanstvo is not defineddefiniran by any skillvještina,
249
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Naša čovječnost nije definirana vještinom
15:03
like swingingljuljanje a hammerčekić
or even playingigranje chessšah.
250
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kao što je zamah čekića
ili čak igranje šaha.
15:06
There's one thing only a humanljudski can do.
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Postoji samo jedna stvar
koju samo ljudi mogu činiti.
15:09
That's dreamsan.
252
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1200
A to je sanjati.
15:12
So let us dreamsan bigvelika.
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Zato sanjajmo velike snove.
15:14
Thank you.
254
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Hvala vam.
15:15
(ApplausePljesak)
255
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(Pljesak)

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ABOUT THE SPEAKER
Garry Kasparov - Grandmaster, analyst
Garry Kasparov is esteemed by many as the greatest chess player of all time. Now he’s engaged in a game with far higher stakes: the preservation of democracy.

Why you should listen

Garry Kasparov became the youngest world champion ever at 22 in 1985 and spent twenty years as the world's top-rated player. His legendary matches against the IBM supercomputer Deep Blue in 1996 and 1997 made him a central figure in artificial intelligence and the evolution of the human-machine relationship. He retired from chess in 2005 to become a leader of the Russian pro-democracy movement against the rising dictatorship of Vladimir Putin. He is the chairman of the New York-based Human Rights Foundation and has become a powerful voice for individual freedom worldwide. As a Senior Visiting Fellow at the Oxford Martin School, Kasparov specializes in interdisciplinary collaboration and, as he puts it, "how our technology can make us more human." He is a member of the executive board of the Foundation for Responsible Robotics.

Kasparov's latest book is Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins, which details his legendary matches against Deep Blue and shares his optimistic insights into our human plus machine future. His 2015 book Winter Is Coming detailed the rise of Putin's Russia as well as Kasparov's persecution and self-exile, and it serves chilling warnings of reactionary forces gathering in the West.

More profile about the speaker
Garry Kasparov | Speaker | TED.com

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