TED@IBM
Grady Booch: Don't fear superintelligent AI
Grejdi Buč (Grady Booch): Ne plašite se superinteligentne veštačke inteligencije
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Nova tehnologija stvara nove nespokoje, kaže naučnik i filozof Grejdi Buč, ali ne bi trebalo da strepimo od svemoćne, bezosećajne veštačke inteligencije. Buč ublažava naše najgore strahove (uzrokovane naučnom fantastikom) o superinteligentnim kompjuterima tako što nam objašnjava kako ćemo ih podučavati, a ne programirati, da dele naše vrednosti. Umesto da se plašimo malo verovatne egzistencijalne pretnje, tera nas da razmislimo kako će veštačka inteligencija da unapredi 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 dete,
bio sam štreber do koske.
bio sam štreber do koske.
00:17
I think some of you were, too.
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Mislim da su i neki od vas to bili.
00:19
(Laughter)
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(Smeh)
A vi, gospodine, koji se najglasnije
smejete, verovatno ste to i dalje.
smejete, verovatno ste to i dalje.
00:20
And you, sir, who laughed the loudest,
you probably still are.
you probably still are.
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00:24
(Laughter)
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(Smeh)
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 gradiću
u prašnjavim ravnicama severnog Teksasa
u prašnjavim ravnicama severnog 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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kao sin šerifa koji je sin pastora.
00:33
Getting into trouble was not an option.
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Upadanje u nevolju nije dolazilo u obzir.
00:36
And so I started reading
calculus books for fun.
calculus books for fun.
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Te sam iz zabave počeo da čitam
knjige o proračunu.
knjige o proračunu.
00:39
(Laughter)
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(Smeh)
00:40
You did, too.
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I vi ste.
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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Zbog toga sam sagradio laser,
kompjuter i modele raketa,
kompjuter i modele 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 je navelo da napravim
raketno gorivo u spavaćoj sobi.
raketno gorivo u spavaćoj sobi.
00:49
Now, in scientific terms,
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Sad, u naučnom smislu,
00:53
we call this a very bad idea.
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ovo nazivamo veoma lošom idejom.
00:56
(Laughter)
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(Smeh)
00:58
Around that same time,
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Otprilike u to vreme,
01:00
Stanley Kubrick's "2001: A Space Odyssey"
came to the theaters,
came to the theaters,
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u bioskope je stigla "Odiseja u svemiru:
2001" Stenlija Kjubrika,
2001" Stenlija Kjubrika,
01:03
and my life was forever changed.
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i moj život je izmenjen zauvek.
01:06
I loved everything about that movie,
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Sve mi se sviđalo kod tog filma,
01:08
especially the HAL 9000.
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naročito HAL 9000.
01:10
Now, HAL was a sentient computer
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Sad, HAL je bio svesni kompjuter
01:13
designed to guide the Discovery spacecraft
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osmišljen da vodi kosmički brod Diskaveri
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 takođe bio faličan 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 odabrao
vrednost misije umesto ljudskog života.
vrednost misije umesto ljudskog života.
01:24
Now, HAL was a fictional character,
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Sad, HAL je bio fiktivan lik,
01:26
but nonetheless he speaks to our fears,
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ali bez obzira na to,
obraća se našim strahovima,
obraća se našim strahovima,
01:29
our fears of being subjugated
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našim strahovima da ćemo pasti pod uticaj
01:31
by some unfeeling, artificial intelligence
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nekakve bezosećajne,
veštačke inteligencije
veštačke inteligencije
01:34
who is indifferent to our humanity.
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koja je ravnodušna prema našoj ljudskosti.
01:37
I believe that such fears are unfounded.
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Verujem da su takvi strahovi neosnovani.
01:40
Indeed, we stand at a remarkable time
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Uistinu se nalazimo u izvanrednom vremenu
01:43
in human history,
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u ljudskoj istoriji,
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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u kom, pokrenuti odbijanjem da prihvatimo
granice naših tela i naših umova,
granice naših tela i naših umova,
01:49
we are building machines
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gradimo mašine
01:51
of exquisite, beautiful
complexity and grace
complexity and grace
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izuzetne, prelepe složenosti i stila
01:55
that will extend the human experience
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koje će da prošire ljudsko iskustvo
01:57
in ways beyond our imagining.
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na nezamislive načine.
Nakon karijere koja seže
od akademije ratnog vazduhoplovstva
od akademije ratnog vazduhoplovstva
01:59
After a career that led me
from the Air Force Academy
from the Air Force Academy
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02:02
to Space Command to now,
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preko svemirskog zapovednika do sada,
02:04
I became a systems engineer,
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postao sam inženjer za sisteme,
02:06
and recently I was drawn
into an engineering problem
into an engineering problem
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a nedavno me je privukao
inženjerski problem
inženjerski problem
02:08
associated with NASA's mission to Mars.
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u vezi sa NASA-inom misijom na Marsu.
02:11
Now, in space flights to the Moon,
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Sad, tokom svemirskih letova na Mesec
02:13
we can rely upon
mission control in Houston
mission control in Houston
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možemo da se oslonimo
na kontrolu misije u Hjustonu
na kontrolu misije u Hjustonu
02:17
to watch over all aspects of a flight.
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da će da prati sve aspekte leta.
02:19
However, Mars is 200 times further away,
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Međutim, Mars je 200 puta dalje,
02:22
and as a result it takes
on average 13 minutes
on average 13 minutes
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i zbog toga je potrebno
u proseku 13 minuta
u proseku 13 minuta
02:25
for a signal to travel
from the Earth to Mars.
from the Earth to Mars.
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za signal da putuje 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 imamo problem, nema dovoljno vremena.
02:32
And so a reasonable engineering solution
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Pa razumno inženjeresko rešenje
02:35
calls for us to put mission control
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iziskuje od nas da smestimo
kontrolu misije
kontrolu misije
02:37
inside the walls of the Orion spacecraft.
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unutar zidova kosmičkog broda Orion.
02:41
Another fascinating idea
in the mission profile
in the mission profile
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Još jedna fantastična 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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smešta humanoidne robote
na površinu Marsa
na površinu Marsa
02:46
before the humans themselves arrive,
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pre nego što ljudi lično stignu,
02:48
first to build facilities
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prvo da bi gradili objekte
02:50
and later to serve as collaborative
members of the science team.
members of the science team.
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i kasnije da služe kao saradnici
u naučnoj ekipi.
u naučnoj ekipi.
02:55
Now, as I looked at this
from an engineering perspective,
from an engineering perspective,
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Sad, dok sam ovo posmatrao
sa inženjerske tačke gledišta,
sa inženjerske tačke gledišta,
02:58
it became very clear to me
that what I needed to architect
that what I needed to architect
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bilo mi je veoma jasno
da je potrebno da projektujem
da je potrebno da projektujem
03:01
was a smart, collaborative,
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pametnu, sarađivačku,
03:03
socially intelligent
artificial intelligence.
artificial intelligence.
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društveno inteligentnu
veštačku inteligenciju.
veštačku inteligenciju.
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 rečima, trebalo je da sagradim
nešto prilično slično HAL-u,
nešto prilično slično HAL-u,
03:10
but without the homicidal tendencies.
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ali bez ubilačkih tendencija.
03:12
(Laughter)
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(Smeh)
03:14
Let's pause for a moment.
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Zastanimo na trenutak.
03:16
Is it really possible to build
an artificial intelligence like that?
an artificial intelligence like that?
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Da li je zaista moguće sagraditi
takvu veštačku inteligenciju?
takvu veštačku inteligenciju?
03:20
Actually, it is.
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Zapravo jeste.
03:22
In many ways,
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Na razne načine,
03:23
this is a hard engineering problem
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ovo je težak inženjerski problem
03:25
with elements of AI,
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sa elementima VI,
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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a ne nekakav neprijatan problem VI
koji je potrebno projektovati.
koji je potrebno projektovati.
03:31
To paraphrase Alan Turing,
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Da parafraziram Alana Tjuringa:
03:34
I'm not interested
in building a sentient machine.
in building a sentient machine.
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ne zanima me izgradnja svesne mašine.
03:36
I'm not building a HAL.
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Ne pravim HAL-a.
03:38
All I'm after is a simple brain,
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Ja tragam za prostim mozgom,
03:40
something that offers
the illusion of intelligence.
the illusion of intelligence.
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nečim što pruža iluziju inteligencije.
03:45
The art and the science of computing
have come a long way
have come a long way
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Umetnost nauke i računarstva
su prešle dug put
su prešle dug put
03:48
since HAL was onscreen,
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od vremena prikazivanja HAL-a,
03:49
and I'd imagine if his inventor
Dr. Chandra were here today,
Dr. Chandra were here today,
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i pretpostavljam da je njegov tvorac
dr Čandra ovde danas,
dr Čandra ovde danas,
03:52
he'd have a whole lot of questions for us.
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imao bi gomilu pitanja za nas.
03:55
Is it really possible for us
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Da li je zaista moguće da mi
03:57
to take a system of millions
upon millions of devices,
upon millions of devices,
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uzmemo sistem od miliona
i miliona uređaja,
i miliona uređaja,
04:01
to read in their data streams,
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koji učitava dotok podataka,
i da predvidimo njihove kvarove
i delamo unapred?
i delamo unapred?
04:02
to predict their failures
and act in advance?
and act in advance?
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04:05
Yes.
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Da.
Možemo li sagraditi sisteme koji
pričaju s ljudima na prirodnom jeziku?
pričaju s ljudima na prirodnom jeziku?
04:06
Can we build systems that converse
with humans in natural language?
with humans in natural language?
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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 sagraditi sisteme
koji prepoznaju predmete, osećanja,
koji prepoznaju predmete, osećanja,
04:13
emote themselves,
play games and even read lips?
play games and even read lips?
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ispoljavaju emocije,
igraju igrice, čak i čitaju sa usana?
igraju igrice, čak i čitaju sa usana?
Da.
04:17
Yes.
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Možemo li sagraditi sistem
koji postavlja ciljeve,
koji postavlja ciljeve,
04:18
Can we build a system that sets goals,
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04:20
that carries out plans against those goals
and learns along the way?
and learns along the way?
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koji pravi planove za te ciljeve
i usput uči?
i 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 sisteme
koji sadrže teoriju uma?
koji sadrže teoriju uma?
04:28
This we are learning to do.
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Ovo učimo da radimo.
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 sisteme
koji imaju etičke i moralne osnove?
koji imaju etičke i moralne osnove?
04:34
This we must learn how to do.
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Ovo moramo da naučimo da radimo.
04:37
So let's accept for a moment
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Zato, prihvatimo za trenutak
04:38
that it's possible to build
such an artificial intelligence
such an artificial intelligence
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da je moguće sagraditi
takvu veštačku inteligenciju
takvu veštačku inteligenciju
04:41
for this kind of mission and others.
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za ovakvu i slične misije.
04:43
The next question
you must ask yourself is,
you must ask yourself is,
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Sledeće pitanje
koje morate postaviti sebi je:
koje morate postaviti sebi je:
04:46
should we fear it?
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da li treba da je se plašimo?
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 nosi izvesnu dozu strepnje.
Kada smo prvi put videli automobile,
04:52
When we first saw cars,
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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 da ćemo biti svedoci
uništenja porodice.
uništenja porodice.
04:58
When we first saw telephones come in,
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Kada smo prvi put videli telefon,
05:01
people were worried it would destroy
all civil conversation.
all civil conversation.
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ljudi su bili zabrinuti
da će da uništi učtiv razgovor.
da će da uništi učtiv 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 jednom trenutku smo videli
kako pisana reč počinje da preovlađuje,
kako pisana reč počinje da preovlađuje,
ljudi su smatrali da ćemo izgubiti
sposobnost pamćenja.
sposobnost pamćenja.
05:08
people thought we would lose
our ability to memorize.
our ability to memorize.
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05:10
These things are all true to a degree,
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Sve ovo je donekle tačno,
05:12
but it's also the case
that these technologies
that these technologies
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ali je takođe tačno
da nam je ova tehnologija
da nam je ova tehnologija
05:15
brought to us things
that extended the human experience
that extended the human experience
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donela stvari koje su proširile
ljudsko iskustvo
ljudsko iskustvo
05:18
in some profound ways.
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na izvesne suštinske načine.
05:21
So let's take this a little further.
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Stoga, pođimo malo dalje s ovim.
05:25
I do not fear the creation
of an AI like this,
of an AI like this,
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Ne strahujem od stvaranja VI na ovaj način
05:29
because it will eventually
embody some of our values.
embody some of our values.
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jer će vremenom
otelotvoriti neke od naših vrednosti.
otelotvoriti neke od naših vrednosti.
05:33
Consider this: building a cognitive system
is fundamentally different
is fundamentally different
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Razmotrite sledeće: izgradnja kognitivnog
sistema je temeljno različita
sistema je temeljno 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
softverskog sistema iz prošlosti.
softverskog sistema iz prošlosti.
05:40
We don't program them. We teach them.
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Ne programiramo ih. Podučavamo ih.
05:43
In order to teach a system
how to recognize flowers,
how to recognize flowers,
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Kako bih naučio sistem
da raspoznaje cveće,
da raspoznaje cveće,
05:45
I show it thousands of flowers
of the kinds I like.
of the kinds I like.
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pokazujem mu na hiljade cvetova
koji se meni sviđaju.
koji se meni sviđaju.
05:48
In order to teach a system
how to play a game --
how to play a game --
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Kako bih naučio sistem da igra igru -
05:51
Well, I would. You would, too.
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Pa, bih. I vi biste.
05:54
I like flowers. Come on.
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Volim cveće. Pa šta.
05:57
To teach a system
how to play a game like Go,
how to play a game like Go,
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Kako bih naučio sistem
da igra igru poput goa,
da igra igru poput goa,
06:00
I'd have it play thousands of games of Go,
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morao bih da odigram
na hiljade partija goa,
na hiljade partija goa,
06:02
but in the process I also teach it
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ali bih ga usput naučio
06:04
how to discern
a good game from a bad game.
a good game from a bad game.
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kako da razlikuje dobru od loše partije.
06:06
If I want to create an artificially
intelligent legal assistant,
intelligent legal assistant,
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Ako bih želeo da stvorim pravnog
asistenta sa veštačkom inteligencijom,
asistenta sa veštačkom inteligencijom,
podučio bih ga zakonskim pravilncima,
06:10
I will teach it some corpus of law
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06:12
but at the same time I am fusing with it
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ali bih mu istovremeno s tim mešao
06:14
the sense of mercy and justice
that is part of that law.
that is part of that law.
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osećanja milosti i pravde
koja su delovi tog zakona.
koja su delovi 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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U naučnom smislu, ovo je nešto
što nazivamo temeljnom istinom,
što nazivamo temeljnom istinom,
06:21
and here's the important point:
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a ovo je važna tačka:
06:23
in producing these machines,
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stvarajući ove mašine,
06:25
we are therefore teaching them
a sense of our values.
a sense of our values.
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sledi da ih učimo svesti
o našim vrednostima.
o našim vrednostima.
06:28
To that end, I trust
an artificial intelligence
an artificial intelligence
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U tom smislu, verujem
veštačkoj inteligenciji
veštačkoj 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,
kao i dobro obučenim ljudima.
kao i dobro obučenim ljudima.
06:36
But, you may ask,
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Međutim, možda se pitate,
06:37
what about rogue agents,
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šta je sa odmetnicima,
06:39
some well-funded
nongovernment organization?
nongovernment organization?
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nekim dobro finansiranim
nevladinim organizacijama?
nevladinim organizacijama?
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 plašim se veštačke inteligencije
u rukama vukova samotnjaka.
u rukama vukova samotnjaka.
06:47
Clearly, we cannot protect ourselves
against all random acts of violence,
against all random acts of violence,
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Očito se ne možemo 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 u stvarnosti sličan sistem
06:53
requires substantial training
and subtle training
and subtle training
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zahteva značajanu i prefinjenu obuku
06:57
far beyond the resources of an individual.
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koja prevazilazi resurse pojedinaca.
06:59
And furthermore,
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A zatim,
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 od pukog ubrizgavanja
internet virusa u svet,
internet virusa u svet,
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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gde pritisnete dugme
i iznenada se nalazi na milion mesta
i iznenada se nalazi na milion mesta
07:06
and laptops start blowing up
all over the place.
all over the place.
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i laptopovi počinju svuda da eksplodiraju.
07:09
Now, these kinds of substances
are much larger,
are much larger,
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Sad, ovakve materije su daleko veće,
07:12
and we'll certainly see them coming.
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i sigurno ćemo ih doživeti.
07:14
Do I fear that such
an artificial intelligence
an artificial intelligence
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Da li me je strah da će takva
veštačka inteligencija
veštačka inteligencija
07:17
might threaten all of humanity?
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možda ugroziti čitavo čovečanstvo?
07:20
If you look at movies
such as "The Matrix," "Metropolis,"
such as "The Matrix," "Metropolis,"
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Ako pogledate filmove,
poput "Matriksa", "Metropolisa",
poput "Matriksa", "Metropolisa",
07:24
"The Terminator,"
shows such as "Westworld,"
shows such as "Westworld,"
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"Terminatora",
serije poput "Zapadnog sveta",
serije poput "Zapadnog sveta",
07:27
they all speak of this kind of fear.
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svi se oni bave tim strahom.
07:30
Indeed, in the book "Superintelligence"
by the philosopher Nick Bostrom,
by the philosopher Nick Bostrom,
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Zaista, u knjizi "Superinteligencija"
filozofa Nika Bostroma,
filozofa Nika Bostroma,
07:34
he picks up on this theme
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on se bavi ovom tematikom
07:35
and observes that a superintelligence
might not only be dangerous,
might not only be dangerous,
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i razmatra da bi superinteligencija
mogla ne samo da bude opasna,
mogla ne samo da bude opasna,
07:39
it could represent an existential threat
to all of humanity.
to all of humanity.
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već bi mogla predstavljati egzistencijalnu
pretnju čitavom čovečanstvu.
pretnju čitavom čovečanstvu.
07:43
Dr. Bostrom's basic argument
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Osnovni argument dr Bostroma
07:46
is that such systems will eventually
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je da bi slični sistemi vremenom
07:48
have such an insatiable
thirst for information
thirst for information
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imali takavu nezasitu žudnju
za informacijama
za informacijama
07:52
that they will perhaps learn how to learn
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da bi možda naučili kako da uče
07:55
and eventually discover
that they may have goals
that they may have goals
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i vremenom bi otkrili
da možda imaju ciljeve
da možda imaju 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 brojne pratioce.
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
Ilona Maska i Stivena Hokinga.
Ilona Maska i Stivena Hokinga.
08:06
With all due respect
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Uz dužno poštovanje
08:10
to these brilliant minds,
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tim briljantnim umovima,
08:12
I believe that they
are fundamentally wrong.
are fundamentally wrong.
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verujem da suštinski greše.
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, argument dr Bostroma
je suviše složen za razlaganje,
je suviše složen za razlaganje,
i ja nemam vremena
da ga u potpunosti razložim,
da ga u potpunosti razložim,
08:17
and I don't have time to unpack them all,
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08:19
but very briefly, consider this:
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ali veoma kratko, razmotrite sledeće:
08:22
super knowing is very different
than super doing.
than super doing.
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superznanje je veoma različito
od superdelanja.
od superdelanja.
HAL je bio pretnja za posadu Diskaverija,
08:26
HAL was a threat to the Discovery crew
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08:28
only insofar as HAL commanded
all aspects of the Discovery.
all aspects of the Discovery.
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samo zato što je HAL zapovedao
svim aspektima Diskaverija.
svim aspektima Diskaverija.
08:32
So it would have to be
with a superintelligence.
with a superintelligence.
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Dakle, moralo bi da se radi
o superinteligenciji.
o superinteligenciji.
08:35
It would have to have dominion
over all of our world.
over all of our world.
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Morala bi da ima vlast
u čitavom našem svetu.
u čitavom našem svetu.
08:37
This is the stuff of Skynet
from the movie "The Terminator"
from the movie "The Terminator"
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Tako je u slučaju Skajneta
iz filma "Terminator"
iz filma "Terminator"
08:40
in which we had a superintelligence
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u kom smo imali superinteligenciju
koja je zapovedala ljudskom voljom,
08:42
that commanded human will,
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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 upravljala svakim uređajem
u svakom kutku sveta.
u svakom kutku sveta.
08:47
Practically speaking,
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Prosto govoreći,
08:49
it ain't gonna happen.
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to se neće desiti.
08:51
We are not building AIs
that control the weather,
that control the weather,
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Ne pravimo VI
koja kontroliše vremenske prilike,
koja kontroliše vremenske prilike,
08:54
that direct the tides,
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koja upravlja plimama,
08:55
that command us
capricious, chaotic humans.
capricious, chaotic humans.
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koja zapoveda nama,
hirovitim, haotičnim ljudima.
hirovitim, haotičnim ljudima.
08:59
And furthermore, if such
an artificial intelligence existed,
an artificial intelligence existed,
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Potom, kad bi postojala
slična veštačka inteligencija,
slična veštačka inteligencija,
09:03
it would have to compete
with human economies,
with human economies,
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morala bi da se takmiči
sa ljudskim ekonomijama,
sa ljudskim ekonomijama,
09:06
and thereby compete for resources with us.
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a time i sa nama zbog resursa.
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 ovo reći Siri -
09:12
we can always unplug them.
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možemo uvek da ih isključimo.
09:13
(Laughter)
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(Smeh)
09:17
We are on an incredible journey
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Na neverovatnom smo putu
09:19
of coevolution with our machines.
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koevolucije sa našim mašinama.
09:22
The humans we are today
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Ljudi kakvi smo danas,
09:24
are not the humans we will be then.
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nećemo biti ljudi sutrašnjice.
09:27
To worry now about the rise
of a superintelligence
of a superintelligence
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Briga zbog uspona superinteligencije
09:30
is in many ways a dangerous distraction
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je na razne načine
opasno odvraćanje pažnje
opasno odvraćanje pažnje
09:33
because the rise of computing itself
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jer uspon samog računarstva
09:36
brings to us a number
of human and societal issues
of human and societal issues
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nam donosi brojna
ljudska i društvena pitanja
ljudska i društvena pitanja
09:39
to which we must now attend.
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kojima se odmah moramo baviti.
09:41
How shall I best organize society
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Kako da organizujemo društvo
na najbolji način
na najbolji način
09:44
when the need for human labor diminishes?
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kada se smanji potreba
za ljudskom radnom snagom?
za ljudskom radnom snagom?
09:46
How can I bring understanding
and education throughout the globe
and education throughout the globe
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Kako da donesemo razumevanje
i obrazovanje širom sveta,
i obrazovanje širom sveta,
09:50
and still respect our differences?
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a da i dalje poštujemo naše razlike?
09:52
How might I extend and enhance human life
through cognitive healthcare?
through cognitive healthcare?
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Kako bismo mogli da proširimo i unapredimo
ljudski život kroz kognitivno zdravstvo?
ljudski život kroz kognitivno zdravstvo?
09:56
How might I use computing
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Kako da koristimo računare
09:59
to help take us to the stars?
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da nas odvedu do zvezda?
10:01
And that's the exciting thing.
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A to je uzbudljivo.
10:04
The opportunities to use computing
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Šansa da se koriste računari
da bismo unapredili ljudsko iskustvo
10:06
to advance the human experience
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10:08
are within our reach,
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su nam na dohvat ruke,
10:09
here and now,
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ovde i sad,
10:11
and we are just beginning.
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a tek smo počeli.
10:14
Thank you very much.
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Mnogo vam hvala.
10:15
(Applause)
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(Aplauz)
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