TED@IBM
Grady Booch: Don't fear superintelligent AI
Grady Booch: Nemojte se bojati superinteligentne UI
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Nova tehnologija rađa nove strahove, kaže znanstvenik i filozof Grady Booch, ali ne moramo se bojati svemoćne bezosjećajne umjetne inteligencije (UI). Booch ublažuje naše najgore strahove (uzrokovane ZF-om) o superinteligentnim računalima objašnjavajući nam kako ćemo ih učiti, ne programirati, kako dijeliti naše vrijednosti. Umjesto da se brinemo oko nevjerojatne egzistencijalne prijetnje, potiče nas razmisliti kako će umjetna inteligencija poboljšati ljudski život.
Grady Booch - Scientist, philosopher
IBM's Grady Booch is shaping the future of cognitive computing by building intelligent systems that can reason and learn. Full bio
IBM's Grady Booch is shaping the future of cognitive computing by building intelligent systems that can reason and learn. Full bio
Double-click the English transcript below to play the video.
00:12
When I was a kid,
I was the quintessential nerd.
I was the quintessential nerd.
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Kad sam bio klinac,
bio sam onaj pravi štreber.
bio sam onaj pravi štreber.
00:17
I think some of you were, too.
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MIslim kako su i neki od vas bili,
također.
također.
00:19
(Laughter)
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(Smijeh)
00:20
And you, sir, who laughed the loudest,
you probably still are.
you probably still are.
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A vi, gospodine, koji ste se najglasnije
nasmijali,vjerojatno to i dalje jeste.
nasmijali,vjerojatno to i dalje jeste.
00:24
(Laughter)
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(Smijeh)
00:26
I grew up in a small town
in the dusty plains of north Texas,
in the dusty plains of north Texas,
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Odrastao sam u malenom gradu
na prašnjavim ravnicama sjevernog Teksasa,
na prašnjavim ravnicama sjevernog Teksasa,
00:29
the son of a sheriff
who was the son of a pastor.
who was the son of a pastor.
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sin šerifa
koji je bio sin pastora.
koji je bio sin pastora.
00:33
Getting into trouble was not an option.
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Upadanje u nevolje nije bila mogućnost.
00:36
And so I started reading
calculus books for fun.
calculus books for fun.
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I tako sam počeo čitati
knjige iz (*infinitezimalnog) računa za zabavu.
knjige iz (*infinitezimalnog) računa za zabavu.
00:39
(Laughter)
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(Smijeh)
00:40
You did, too.
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I vi ste, također.
00:42
That led me to building a laser
and a computer and model rockets,
and a computer and model rockets,
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To me dovelo do izgradnje lasera
i računala i modelarskih raketa,
i računala i modelarskih raketa,
00:46
and that led me to making
rocket fuel in my bedroom.
rocket fuel in my bedroom.
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a to me dovelo do izrade
raketnog goriva u mojoj spavaćoj sobi.
raketnog goriva u mojoj spavaćoj sobi.
00:49
Now, in scientific terms,
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Sad, u znanstvenim terminima,
00:53
we call this a very bad idea.
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to nazivamo vrlo lošom idejom.
00:56
(Laughter)
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(Smijeh)
00:58
Around that same time,
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Nekako oko tog doba,
01:00
Stanley Kubrick's "2001: A Space Odyssey"
came to the theaters,
came to the theaters,
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Kubrick-ova "2001: Odiseja u Svemiru"
je došla u kina,
je došla u kina,
01:03
and my life was forever changed.
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i moj se život zauvijek promijenio.
01:06
I loved everything about that movie,
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Volio sam sve oko tog filma,
01:08
especially the HAL 9000.
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posebno HAL 9000.
01:10
Now, HAL was a sentient computer
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Sad, HAL je bio svjesno računalo
01:13
designed to guide the Discovery spacecraft
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osmišljeno da vodi svemirsku
letjelicu Discovery
letjelicu Discovery
01:15
from the Earth to Jupiter.
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od Zemlje do Jupitera.
01:18
HAL was also a flawed character,
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HAL je također bio manjkav lik,
01:20
for in the end he chose
to value the mission over human life.
to value the mission over human life.
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jer je na kraju birao vrednovati
misiju više od ljudskog života.
misiju više od ljudskog života.
01:24
Now, HAL was a fictional character,
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Sad, HAL je bio izmišljeni lik,
01:26
but nonetheless he speaks to our fears,
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ali ipak se obraćao našim strahovima,
01:29
our fears of being subjugated
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našim strahovima o bivanju podčinjenim
01:31
by some unfeeling, artificial intelligence
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od strane neke
bezosjećajne, umjetne inteligencije
bezosjećajne, umjetne inteligencije
01:34
who is indifferent to our humanity.
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koja je ravnodušna spram naše ljudskosti.
01:37
I believe that such fears are unfounded.
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Vjerujem kako su takvi strahovi
neutemeljeni.
neutemeljeni.
01:40
Indeed, we stand at a remarkable time
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Zbilja, stojimo na upečatljivom mjestu
01:43
in human history,
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u ljudskoj povijesti,
01:44
where, driven by refusal to accept
the limits of our bodies and our minds,
the limits of our bodies and our minds,
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gdje, potaknuti odbijanjem prihvaćanja
granica naših tijela i naših umova,
granica naših tijela i naših umova,
01:49
we are building machines
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gradimo strojeve,
01:51
of exquisite, beautiful
complexity and grace
complexity and grace
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fine, prekrasne
složenosti i ljepote
složenosti i ljepote
01:55
that will extend the human experience
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koji će proširiti ljudsko iskustvo
01:57
in ways beyond our imagining.
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na načine onkraj naše mašte.
01:59
After a career that led me
from the Air Force Academy
from the Air Force Academy
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Nakon karijere koja me vodila
od Akademije zračnih snaga
od Akademije zračnih snaga
02:02
to Space Command to now,
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preko Svemirskog zapovjedništva do sada,
02:04
I became a systems engineer,
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postao sam sistemski inženjer,
02:06
and recently I was drawn
into an engineering problem
into an engineering problem
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i nedavno sam uvučen
u inženjerski problem
u inženjerski problem
02:08
associated with NASA's mission to Mars.
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vezan uz NASA-inu misiju na Mars.
02:11
Now, in space flights to the Moon,
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Sad, u svemirskim letovima do Mjeseca,
02:13
we can rely upon
mission control in Houston
mission control in Houston
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možemo se osloniti
na kontrolu misije u Houstonu
na kontrolu misije u Houstonu
02:17
to watch over all aspects of a flight.
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kako će paziti na sve aspekte leta.
02:19
However, Mars is 200 times further away,
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Međutim, Mars je 200 puta udaljeniji,
02:22
and as a result it takes
on average 13 minutes
on average 13 minutes
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te kao rezultat treba
prosječno 13 minuta
prosječno 13 minuta
02:25
for a signal to travel
from the Earth to Mars.
from the Earth to Mars.
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signalu da otputuje
od Zemlje do Marsa.
od Zemlje do Marsa.
02:29
If there's trouble,
there's not enough time.
there's not enough time.
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Ako ima nevolje,
nema dovoljno vremena.
nema dovoljno vremena.
02:32
And so a reasonable engineering solution
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I tako razumno inženjersko rješenje
02:35
calls for us to put mission control
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kaže nam neka stavimo kontrolu misije
02:37
inside the walls of the Orion spacecraft.
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unutar zidova svemirske letjelice Orion.
02:41
Another fascinating idea
in the mission profile
in the mission profile
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Druga očaravajuća ideja
u profilu misije
u profilu misije
02:43
places humanoid robots
on the surface of Mars
on the surface of Mars
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stavlja humanoidne robote
na površinu Marsa
na površinu Marsa
02:46
before the humans themselves arrive,
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prije nego sami ljudi doputuju,
02:48
first to build facilities
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prvo kako bi sagradili postrojenja
02:50
and later to serve as collaborative
members of the science team.
members of the science team.
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a kasnije kako bi služili kao
pomoćni članovi znanstvenog tima.
pomoćni članovi znanstvenog tima.
02:55
Now, as I looked at this
from an engineering perspective,
from an engineering perspective,
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Sad, kad sam gledao na ovo
iz inženjerskog kuta,
iz inženjerskog kuta,
02:58
it became very clear to me
that what I needed to architect
that what I needed to architect
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postalo mi je vrlo jasno
kako je ono što trebam osmisliti
kako je ono što trebam osmisliti
03:01
was a smart, collaborative,
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bila pametna, uslužna,
03:03
socially intelligent
artificial intelligence.
artificial intelligence.
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društveno inteligentna
umjetna inteligencija.
umjetna inteligencija.
03:05
In other words, I needed to build
something very much like a HAL
something very much like a HAL
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Drugim riječima, trebao sam složiti
nešto vrlo slično HAL-u
nešto vrlo slično HAL-u
03:10
but without the homicidal tendencies.
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ali bez ubilačkih sklonosti.
03:12
(Laughter)
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(Smijeh)
03:14
Let's pause for a moment.
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Zaustavimo se na trenutak.
03:16
Is it really possible to build
an artificial intelligence like that?
an artificial intelligence like that?
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Je li stvarno moguće sagraditi
umjetnu inteligenciju poput ove?
umjetnu inteligenciju poput ove?
03:20
Actually, it is.
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Zapravo, jest.
03:22
In many ways,
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Na puno načina,
03:23
this is a hard engineering problem
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ovo je tvrdi inženjerski problem
03:25
with elements of AI,
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s elementima UI,
03:26
not some wet hair ball of an AI problem
that needs to be engineered.
that needs to be engineered.
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ne neki UI problem mokre lopte kose
kojeg treba osmisliti.
kojeg treba osmisliti.
03:31
To paraphrase Alan Turing,
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Da parafraziram Alana Turinga:
03:34
I'm not interested
in building a sentient machine.
in building a sentient machine.
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Ne zanima me
izgradnja svjesnog stroja.
izgradnja svjesnog stroja.
03:36
I'm not building a HAL.
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Ne gradim HAL-a.
03:38
All I'm after is a simple brain,
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Sve za čime idem je
jednostavan mozak,
jednostavan mozak,
03:40
something that offers
the illusion of intelligence.
the illusion of intelligence.
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nešto što nudi privid inteligencije.
03:45
The art and the science of computing
have come a long way
have come a long way
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Umjetnost i znanost računarstva
je prošla dalek put
je prošla dalek put
03:48
since HAL was onscreen,
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otkad je HAL bio na ekranu,
03:49
and I'd imagine if his inventor
Dr. Chandra were here today,
Dr. Chandra were here today,
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i mogu zamisliti kad bi njegov izumitelj
dr. Chandra bio ovdje danas,
dr. Chandra bio ovdje danas,
03:52
he'd have a whole lot of questions for us.
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imao bi cijeli niz pitanja za nas.
03:55
Is it really possible for us
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Je li nam zbilja moguće
03:57
to take a system of millions
upon millions of devices,
upon millions of devices,
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uzeti sustav od milijuna
i milijuna uređaja,
i milijuna uređaja,
04:01
to read in their data streams,
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čitati njihove tokove podataka,
04:02
to predict their failures
and act in advance?
and act in advance?
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predviđati njihove kvarove
te djelovati unaprijed?
te djelovati unaprijed?
04:05
Yes.
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Da.
04:06
Can we build systems that converse
with humans in natural language?
with humans in natural language?
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Možemo li graditi sustave koji
razgovaraju s ljudima prirodnim jezikom?
razgovaraju s ljudima prirodnim jezikom?
04:09
Yes.
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Da.
04:10
Can we build systems
that recognize objects, identify emotions,
that recognize objects, identify emotions,
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Možemo li graditi sustave
koji prepoznaju objekte, identificiraju osjećaje,
koji prepoznaju objekte, identificiraju osjećaje,
04:13
emote themselves,
play games and even read lips?
play games and even read lips?
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sami izražavaju emocije,
igraju igre i čak čitaju s usana?
igraju igre i čak čitaju s usana?
04:17
Yes.
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Da.
04:18
Can we build a system that sets goals,
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Možemo li sagraditi sustav
koji postavlja ciljeve,
koji postavlja ciljeve,
04:20
that carries out plans against those goals
and learns along the way?
and learns along the way?
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potom izvršava planove
prema tim ciljevima te usput uči?
prema tim ciljevima te usput uči?
04:24
Yes.
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Da.
04:25
Can we build systems
that have a theory of mind?
that have a theory of mind?
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Možemo li sagraditi sustave
koji imaju teoriju uma?
koji imaju teoriju uma?
04:28
This we are learning to do.
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To upravo učimo.
04:30
Can we build systems that have
an ethical and moral foundation?
an ethical and moral foundation?
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Možemo li sagraditi sustave
koji imaju etičke i moralne temelje?
koji imaju etičke i moralne temelje?
04:34
This we must learn how to do.
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Ovo moramo naučiti kako.
04:37
So let's accept for a moment
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Pa prihvatimo na trenutak
04:38
that it's possible to build
such an artificial intelligence
such an artificial intelligence
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kako je moguće sagraditi
takvu umjetnu inteligenciju
takvu umjetnu inteligenciju
04:41
for this kind of mission and others.
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za ovu vrstu misije i slično.
04:43
The next question
you must ask yourself is,
you must ask yourself is,
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Slijedeće pitanje
koje biste se trebali pitati je,
koje biste se trebali pitati je,
04:46
should we fear it?
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bismo li je se trebali bojati?
04:47
Now, every new technology
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Sad, svaka nova tehnologija
04:49
brings with it
some measure of trepidation.
some measure of trepidation.
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sa sobom donosi
neku mjeru strepnje.
neku mjeru strepnje.
04:52
When we first saw cars,
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Kad smo prvo vidjeli aute,
04:54
people lamented that we would see
the destruction of the family.
the destruction of the family.
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ljudi su se žalili kako ćemo vidjeti
uništenje obitelji.
uništenje obitelji.
04:58
When we first saw telephones come in,
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Kad smo prvo vidjeli telefone kako dolaze,
05:01
people were worried it would destroy
all civil conversation.
all civil conversation.
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ljudi su brinuli kako će uništiti
sav uljudan razgovor.
sav uljudan razgovor.
05:04
At a point in time we saw
the written word become pervasive,
the written word become pervasive,
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U točci vremena kad smo vidjeli
kako pisana riječ sve više prožima,
kako pisana riječ sve više prožima,
05:08
people thought we would lose
our ability to memorize.
our ability to memorize.
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ljudi su mislili kako ćemo izgubiti
našu sposobnost pamćenja.
našu sposobnost pamćenja.
05:10
These things are all true to a degree,
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Sve su te stvari točne do nekog stupnja,
05:12
but it's also the case
that these technologies
that these technologies
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ali je također slučaj
kako su nam te tehnologije
kako su nam te tehnologije
05:15
brought to us things
that extended the human experience
that extended the human experience
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dovele stvari koje su
proširile ljudsko iskustvo
proširile ljudsko iskustvo
05:18
in some profound ways.
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na neke duboke načine.
05:21
So let's take this a little further.
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Pa hajdemo s ovim još malo dalje.
05:25
I do not fear the creation
of an AI like this,
of an AI like this,
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Ne bojim se
stvaranje UI poput ove,
stvaranje UI poput ove,
05:29
because it will eventually
embody some of our values.
embody some of our values.
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jer će s vremenom
utjeloviti neke od naših vrijednosti.
utjeloviti neke od naših vrijednosti.
05:33
Consider this: building a cognitive system
is fundamentally different
is fundamentally different
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Uzmite u obzir ovo: izgradnja
spoznajnog sustava je iz temelja različita
spoznajnog sustava je iz temelja različita
05:37
than building a traditional
software-intensive system of the past.
software-intensive system of the past.
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od izgradnje tradicionalnog softverski
intenzivnog sustava u prošlosti.
intenzivnog sustava u prošlosti.
05:40
We don't program them. We teach them.
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Ne programiramo ih. Učimo ih.
05:43
In order to teach a system
how to recognize flowers,
how to recognize flowers,
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Kako bismo sustav naučili
prepoznavati cvijeće,
prepoznavati cvijeće,
05:45
I show it thousands of flowers
of the kinds I like.
of the kinds I like.
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pokazujem mu tisuće vrsta cvjetova
koje mi se sviđaju.
koje mi se sviđaju.
05:48
In order to teach a system
how to play a game --
how to play a game --
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Kako bismo sustav naučili
igrati igru --
igrati igru --
05:51
Well, I would. You would, too.
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Dobro, ja bih. I vi bi.
05:54
I like flowers. Come on.
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Sviđa mi se cvijeće. Hajde.
05:57
To teach a system
how to play a game like Go,
how to play a game like Go,
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Naučiti sustav kako
igrati igru kakva je Go,
igrati igru kakva je Go,
06:00
I'd have it play thousands of games of Go,
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pustit ću ga neka odigra
tisuće partija Go-a,
tisuće partija Go-a,
06:02
but in the process I also teach it
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ali ću ga u postupku
također naučiti i
također naučiti i
06:04
how to discern
a good game from a bad game.
a good game from a bad game.
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kako razaznati
dobru partiju od loše partije.
dobru partiju od loše partije.
06:06
If I want to create an artificially
intelligent legal assistant,
intelligent legal assistant,
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Ako želim stvoriti umjetno
inteligentnog pravnog savjetnika,
inteligentnog pravnog savjetnika,
06:10
I will teach it some corpus of law
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naučit ću ga neki korpus zakona
06:12
but at the same time I am fusing with it
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ali ću u isto vrijeme spojiti s njim
06:14
the sense of mercy and justice
that is part of that law.
that is part of that law.
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osjećaj milosti i pravde
koji je dio tog zakona.
koji je dio tog zakona.
06:18
In scientific terms,
this is what we call ground truth,
this is what we call ground truth,
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Znanstvenim rječnikom, to je
ono što zovemo neposredna informacija,
ono što zovemo neposredna informacija,
06:21
and here's the important point:
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a evo važnog momenta:
06:23
in producing these machines,
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u stvaranju svih tih strojeva,
06:25
we are therefore teaching them
a sense of our values.
a sense of our values.
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mi ih dakle učimo
smislu naših vrijednosti.
smislu naših vrijednosti.
06:28
To that end, I trust
an artificial intelligence
an artificial intelligence
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Stoga, vjerujem
umjetnoj inteligenciji
umjetnoj inteligenciji
06:31
the same, if not more,
as a human who is well-trained.
as a human who is well-trained.
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isto, ako ne i više,
koliko i čovjeku koji je dobro obučen.
koliko i čovjeku koji je dobro obučen.
06:36
But, you may ask,
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Ali, možete pitati,
06:37
what about rogue agents,
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što sa nevaljalim igračima,
06:39
some well-funded
nongovernment organization?
nongovernment organization?
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nekom dobro financiranom
nevladinom organizacijom?
nevladinom organizacijom?
06:43
I do not fear an artificial intelligence
in the hand of a lone wolf.
in the hand of a lone wolf.
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Ne bojim se umjetne inteligencije
u rukama vuka samotnjaka.
u rukama vuka samotnjaka.
06:47
Clearly, we cannot protect ourselves
against all random acts of violence,
against all random acts of violence,
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Jasno, ne možemo se zaštititi
od svih nasumičnih činova nasilja,
od svih nasumičnih činova nasilja,
06:51
but the reality is such a system
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ali stvarnost je da takav sustav
06:53
requires substantial training
and subtle training
and subtle training
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traži znatnu obuku
i finu obuku
i finu obuku
06:57
far beyond the resources of an individual.
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daleko onkraj resursa pojedinca.
06:59
And furthermore,
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I nadalje,
07:00
it's far more than just injecting
an internet virus to the world,
an internet virus to the world,
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to je daleko više nego
samo ubaciti internetski virus u svijet,
samo ubaciti internetski virus u svijet,
07:03
where you push a button,
all of a sudden it's in a million places
all of a sudden it's in a million places
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gdje pritisnete tipku,
odjednom je na milijun mjesta
odjednom je na milijun mjesta
07:06
and laptops start blowing up
all over the place.
all over the place.
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i laptopi posvuda
krenu eksplodirati.
krenu eksplodirati.
07:09
Now, these kinds of substances
are much larger,
are much larger,
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Sad, ove su vrste stvari
puno veće,
puno veće,
07:12
and we'll certainly see them coming.
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i sigurno ćemo ih vidjeti kako dolaze.
07:14
Do I fear that such
an artificial intelligence
an artificial intelligence
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Bojim li se kako bi takva
umjetna inteligencija
umjetna inteligencija
07:17
might threaten all of humanity?
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mogla zaprijetiti cijelom čovječanstvu?
07:20
If you look at movies
such as "The Matrix," "Metropolis,"
such as "The Matrix," "Metropolis,"
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Ako pogledate filmove
kao što su "Matrix" ili "Metropolis,"
kao što su "Matrix" ili "Metropolis,"
07:24
"The Terminator,"
shows such as "Westworld,"
shows such as "Westworld,"
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"Terminator,"
serije kao što je "Westworld,"
serije kao što je "Westworld,"
07:27
they all speak of this kind of fear.
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svi oni pričaju o ovom tipu straha.
07:30
Indeed, in the book "Superintelligence"
by the philosopher Nick Bostrom,
by the philosopher Nick Bostrom,
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Zbilja, u knjizi "Superinteligencija"
filozofa Nicka Bostroma,
filozofa Nicka Bostroma,
07:34
he picks up on this theme
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on polazi od ove teme
07:35
and observes that a superintelligence
might not only be dangerous,
might not only be dangerous,
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te uočava kako superinteligencija
može biti ne samo opasna,
može biti ne samo opasna,
07:39
it could represent an existential threat
to all of humanity.
to all of humanity.
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mogla bi predstavljati egzistencijalnu
opasnost svom čovječanstvu.
opasnost svom čovječanstvu.
07:43
Dr. Bostrom's basic argument
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Dr. Bostromov temeljni argument
07:46
is that such systems will eventually
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je kako će takvi sustavi s vremenom
07:48
have such an insatiable
thirst for information
thirst for information
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imati tako neutaživu žeđ
za informacijom
za informacijom
07:52
that they will perhaps learn how to learn
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da će možda naučiti kako učiti
07:55
and eventually discover
that they may have goals
that they may have goals
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te s vremenom otkriti
kako mogu imati ciljeve
kako mogu imati ciljeve
07:57
that are contrary to human needs.
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koji su suprotni ljudskim potrebama.
08:00
Dr. Bostrom has a number of followers.
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Dr. Bostrom ima neki broj sljedbenika.
08:01
He is supported by people
such as Elon Musk and Stephen Hawking.
such as Elon Musk and Stephen Hawking.
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Podržavaju ga ljudi
poput Elona Muska i Stephena Hawkinga.
poput Elona Muska i Stephena Hawkinga.
08:06
With all due respect
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Sa svim dužnim poštovanjem
08:10
to these brilliant minds,
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prema tim briljantnim umovima,
08:12
I believe that they
are fundamentally wrong.
are fundamentally wrong.
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vjerujem kako su oni
iz temelja u krivu.
iz temelja u krivu.
08:14
Now, there are a lot of pieces
of Dr. Bostrom's argument to unpack,
of Dr. Bostrom's argument to unpack,
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Sad, ima puno dijelova
dr. Bostromovog argumenta za maknuti,
dr. Bostromovog argumenta za maknuti,
08:17
and I don't have time to unpack them all,
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a nemam vremena kako bih ih maknuo sve,
08:19
but very briefly, consider this:
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ali vrlo kratko, razmislite o ovome:
08:22
super knowing is very different
than super doing.
than super doing.
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super znanje je vrlo različito
od super djelovanja.
od super djelovanja.
08:26
HAL was a threat to the Discovery crew
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HAL je bio prijetnja posadi Discoveryja
08:28
only insofar as HAL commanded
all aspects of the Discovery.
all aspects of the Discovery.
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samo stoga što je HAL
upravljao svime u Discoveryju.
upravljao svime u Discoveryju.
08:32
So it would have to be
with a superintelligence.
with a superintelligence.
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Tako bi trebalo biti
i sa superinteligencijom.
i sa superinteligencijom.
08:35
It would have to have dominion
over all of our world.
over all of our world.
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Morala bi imati vlast
nad cijelim našim svijetom.
nad cijelim našim svijetom.
08:37
This is the stuff of Skynet
from the movie "The Terminator"
from the movie "The Terminator"
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Tako je sastavljen Skynet
iz filma "Terminator"
iz filma "Terminator"
08:40
in which we had a superintelligence
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u kojem smo imali superinteligenciju
08:42
that commanded human will,
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koja je upravljala ljudskom voljom,
08:43
that directed every device
that was in every corner of the world.
that was in every corner of the world.
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koja je vodila svaki uređaj
koji je bio u svakom kutku svijeta.
koji je bio u svakom kutku svijeta.
08:47
Practically speaking,
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Praktično govoreći,
08:49
it ain't gonna happen.
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to se neće dogoditi.
08:51
We are not building AIs
that control the weather,
that control the weather,
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Ne gradimo UI-e
koji kontroliraju vrijeme,
koji kontroliraju vrijeme,
08:54
that direct the tides,
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koji upravljaju plimom,
08:55
that command us
capricious, chaotic humans.
capricious, chaotic humans.
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koji upravljaju nama
jogunastima, kaotičnim ljudima.
jogunastima, kaotičnim ljudima.
08:59
And furthermore, if such
an artificial intelligence existed,
an artificial intelligence existed,
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I nadalje, ako bi takva
umjetna superinteligencija postojala,
umjetna superinteligencija postojala,
09:03
it would have to compete
with human economies,
with human economies,
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morala bi se nadmetati
sa ljudskim ekonomijama,
sa ljudskim ekonomijama,
09:06
and thereby compete for resources with us.
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i time se nadmetati za resurse sa nama.
09:09
And in the end --
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I na kraju --
09:10
don't tell Siri this --
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nemojte reći Siri ovo --
09:12
we can always unplug them.
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uvijek ih možemo ištekati.
09:13
(Laughter)
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(Smijeh)
09:17
We are on an incredible journey
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Mi smo na nevjerojatnom putovanju
09:19
of coevolution with our machines.
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koevolucije sa našim strojevima.
09:22
The humans we are today
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Ljudi koji smo danas
09:24
are not the humans we will be then.
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nisu ljudi koji ćemo biti tada.
09:27
To worry now about the rise
of a superintelligence
of a superintelligence
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Brinuti sada o usponu
superinteligencije
superinteligencije
09:30
is in many ways a dangerous distraction
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je na puno načina
opasno odvraćanje pažnje
opasno odvraćanje pažnje
09:33
because the rise of computing itself
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stoga što nam već uspon računarstva sam
09:36
brings to us a number
of human and societal issues
of human and societal issues
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donosi brojna
ljudska i društvena pitanja
ljudska i društvena pitanja
09:39
to which we must now attend.
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kojima se moramo pozabaviti sada.
09:41
How shall I best organize society
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Kako ću najbolje organizirati društvo
09:44
when the need for human labor diminishes?
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kad se potreba za radom smanji?
09:46
How can I bring understanding
and education throughout the globe
and education throughout the globe
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Kako mogu donijeti razumijevanje
i obrazovanje širom svijeta
i obrazovanje širom svijeta
09:50
and still respect our differences?
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a i dalje uvažavati razlike?
09:52
How might I extend and enhance human life
through cognitive healthcare?
through cognitive healthcare?
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Kako mogu produljiti i poboljšati ljudski
život kroz kognitivnu zdravstvenu skrb?
život kroz kognitivnu zdravstvenu skrb?
09:56
How might I use computing
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Kako mogu koristiti računarstvo
09:59
to help take us to the stars?
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za pomoć kako bi došli do zvijezda?
10:01
And that's the exciting thing.
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A to je uzbudljiva stvar.
10:04
The opportunities to use computing
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Prilike za korištenje računarstva
10:06
to advance the human experience
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kako bi unaprijedili ljudsko iskustvo
10:08
are within our reach,
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su nam unutar dosega,
10:09
here and now,
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sada i ovdje,
10:11
and we are just beginning.
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a tek smo na početku.
10:14
Thank you very much.
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Hvala vam puno.
10:15
(Applause)
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(Pljesak)
ABOUT THE SPEAKER
Grady Booch - Scientist, philosopherIBM's Grady Booch is shaping the future of cognitive computing by building intelligent systems that can reason and learn.
Why you should listen
When he was 13, Grady Booch saw 2001: A Space Odyssey in the theaters for the first time. Ever since, he's been trying to build Hal (albeit one without the homicidal tendencies). A scientist, storyteller and philosopher, Booch is Chief Scientist for Software Engineering as well as Chief Scientist for Watson/M at IBM Research, where he leads IBM's research and development for embodied cognition. Having originated the term and the practice of object-oriented design, he is best known for his work in advancing the fields of software engineering and software architecture.
A co-author of the Unified Modeling Language (UML), a founding member of the Agile Allianc, and a founding member of the Hillside Group, Booch has published six books and several hundred technical articles, including an ongoing column for IEEE Software. He's also a trustee for the Computer History Museum, an IBM Fellow, an ACM Fellow and IEEE Fellow. He has been awarded the Lovelace Medal and has given the Turing Lecture for the BCS, and was recently named an IEEE Computer Pioneer.
Booch is currently deeply involved in the development of cognitive systems and is also developing a major trans-media documentary for public broadcast on the intersection of computing and the human experience.
Grady Booch | Speaker | TED.com