Don't fear superintelligent AI | Grady Booch

270,465 views ・ 2017-03-13

TED


Dvaput kliknite na engleske titlove ispod za reprodukciju videozapisa.

Prevoditelj: Stjepan Mateljan Recezent: Tilen Pigac - EFZG
00:12
When I was a kid, I was the quintessential nerd.
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Kad sam bio klinac, 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.
00:19
(Laughter)
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(Smijeh)
00:20
And you, sir, who laughed the loudest, you probably still are.
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A vi, gospodine, koji ste se najglasnije nasmijali,vjerojatno to i dalje jeste.
00:23
(Laughter)
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(Smijeh)
00:26
I grew up in a small town in the dusty plains of north Texas,
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Odrastao sam u malenom gradu na prašnjavim ravnicama sjevernog Teksasa,
00:29
the son of a sheriff who was the son of a pastor.
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sin šerifa koji je bio sin pastora.
00:32
Getting into trouble was not an option.
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Upadanje u nevolje nije bila mogućnost.
00:35
And so I started reading calculus books for fun.
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I tako sam počeo čitati 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,
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To me dovelo do izgradnje lasera i računala i modelarskih raketa,
00:46
and that led me to making rocket fuel in my bedroom.
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a to me dovelo do izrade 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)
00:57
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,
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Kubrick-ova "2001: Odiseja u Svemiru" 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
01:12
designed to guide the Discovery spacecraft
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osmišljeno da vodi svemirsku letjelicu Discovery
01:15
from the Earth to Jupiter.
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od Zemlje do Jupitera.
01:17
HAL was also a flawed character,
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HAL je također bio manjkav lik,
01:19
for in the end he chose to value the mission over human life.
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jer je na kraju birao vrednovati 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
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.
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,
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gdje, potaknuti odbijanjem prihvaćanja 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
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fine, prekrasne složenosti i ljepote
01:54
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
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Nakon karijere koja me vodila 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,
02:05
and recently I was drawn into an engineering problem
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i nedavno sam uvučen 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
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možemo se osloniti na kontrolu misije u Houstonu
02:16
to watch over all aspects of a flight.
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kako će paziti na sve aspekte leta.
02:18
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
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te kao rezultat treba prosječno 13 minuta
02:25
for a signal to travel from the Earth to Mars.
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signalu da otputuje od Zemlje do Marsa.
02:28
If there's trouble, there's not enough time.
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Ako ima nevolje, 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.
02:40
Another fascinating idea in the mission profile
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Druga očaravajuća ideja u profilu misije
02:43
places humanoid robots on the surface of Mars
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stavlja humanoidne robote 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.
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a kasnije kako bi služili kao pomoćni članovi znanstvenog tima.
02:55
Now, as I looked at this from an engineering perspective,
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Sad, kad sam gledao na ovo iz inženjerskog kuta,
02:57
it became very clear to me that what I needed to architect
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postalo mi je vrlo jasno 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.
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društveno inteligentna umjetna inteligencija.
03:05
In other words, I needed to build something very much like a HAL
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Drugim riječima, trebao sam složiti 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?
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Je li stvarno moguće sagraditi umjetnu inteligenciju poput ove?
03:20
Actually, it is.
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Zapravo, jest.
03:21
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.
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ne neki UI problem mokre lopte kose 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.
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Ne zanima me 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,
03:40
something that offers the illusion of intelligence.
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nešto što nudi privid inteligencije.
03:44
The art and the science of computing have come a long way
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Umjetnost i znanost računarstva je prošla dalek put
03:47
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,
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i mogu zamisliti kad bi njegov izumitelj 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,
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uzeti sustav od milijuna 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?
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predviđati njihove kvarove te djelovati unaprijed?
04:05
Yes.
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Da.
04:06
Can we build systems that converse with humans in natural language?
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Možemo li graditi sustave koji razgovaraju s ljudima prirodnim jezikom?
04:09
Yes.
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Da.
04:10
Can we build systems that recognize objects, identify emotions,
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Možemo li graditi sustave koji prepoznaju objekte, identificiraju osjećaje,
04:13
emote themselves, play games and even read lips?
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sami izražavaju emocije, 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,
04:20
that carries out plans against those goals and learns along the way?
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potom izvršava planove 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?
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Možemo li sagraditi sustave 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?
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Možemo li sagraditi sustave 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
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kako je moguće sagraditi 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,
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Slijedeće pitanje 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.
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sa sobom donosi 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.
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ljudi su se žalili kako ćemo vidjeti 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.
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ljudi su brinuli kako će uništiti sav uljudan razgovor.
05:04
At a point in time we saw the written word become pervasive,
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U točci vremena kad smo vidjeli kako pisana riječ sve više prožima,
05:07
people thought we would lose our ability to memorize.
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ljudi su mislili kako ćemo izgubiti 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
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ali je također slučaj kako su nam te tehnologije
05:15
brought to us things that extended the human experience
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dovele stvari koje su 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.
05:24
I do not fear the creation of an AI like this,
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Ne bojim se stvaranje UI poput ove,
05:29
because it will eventually embody some of our values.
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jer će s vremenom utjeloviti neke od naših vrijednosti.
05:33
Consider this: building a cognitive system is fundamentally different
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Uzmite u obzir ovo: izgradnja spoznajnog sustava je iz temelja različita
05:37
than building a traditional software-intensive system of the past.
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od izgradnje tradicionalnog softverski intenzivnog sustava u prošlosti.
05:40
We don't program them. We teach them.
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Ne programiramo ih. Učimo ih.
05:42
In order to teach a system how to recognize flowers,
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Kako bismo sustav naučili prepoznavati cvijeće,
05:45
I show it thousands of flowers of the kinds I like.
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pokazujem mu tisuće vrsta cvjetova koje mi se sviđaju.
05:48
In order to teach a system how to play a game --
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Kako bismo sustav naučili igrati igru --
05:50
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,
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Naučiti sustav kako 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,
06:02
but in the process I also teach it
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ali ću ga u postupku također naučiti i
06:03
how to discern a good game from a bad game.
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kako razaznati dobru partiju od loše partije.
06:06
If I want to create an artificially intelligent legal assistant,
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Ako želim stvoriti umjetno inteligentnog pravnog savjetnika,
06:10
I will teach it some corpus of law
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naučit ću ga neki korpus zakona
06:11
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.
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osjećaj milosti i pravde koji je dio tog zakona.
06:18
In scientific terms, this is what we call ground truth,
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Znanstvenim rječnikom, to je 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,
06:24
we are therefore teaching them a sense of our values.
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mi ih dakle učimo smislu naših vrijednosti.
06:28
To that end, I trust an artificial intelligence
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Stoga, vjerujem umjetnoj inteligenciji
06:31
the same, if not more, as a human who is well-trained.
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isto, ako ne i više, koliko i čovjeku koji je dobro obučen.
06:35
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?
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nekom dobro financiranom nevladinom organizacijom?
06:43
I do not fear an artificial intelligence in the hand of a lone wolf.
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Ne bojim se umjetne inteligencije u rukama vuka samotnjaka.
06:46
Clearly, we cannot protect ourselves against all random acts of violence,
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Jasno, ne možemo se zaštititi 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
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traži znatnu obuku i finu obuku
06:56
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,
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to je daleko više nego samo ubaciti internetski virus u svijet,
07:03
where you push a button, all of a sudden it's in a million places
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gdje pritisnete tipku, odjednom je na milijun mjesta
07:06
and laptops start blowing up all over the place.
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i laptopi posvuda krenu eksplodirati.
07:09
Now, these kinds of substances are much larger,
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Sad, ove su vrste stvari 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
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Bojim li se kako bi takva 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,"
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Ako pogledate filmove kao što su "Matrix" ili "Metropolis,"
07:24
"The Terminator," shows such as "Westworld,"
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"Terminator," 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.
07:29
Indeed, in the book "Superintelligence" by the philosopher Nick Bostrom,
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Zbilja, u knjizi "Superinteligencija" 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,
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te uočava kako superinteligencija može biti ne samo opasna,
07:39
it could represent an existential threat to all of humanity.
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mogla bi predstavljati egzistencijalnu opasnost svom čovječanstvu.
07:43
Dr. Bostrom's basic argument
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Dr. Bostromov temeljni argument
07:45
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
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imati tako neutaživu žeđ za informacijom
07:51
that they will perhaps learn how to learn
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da će možda naučiti kako učiti
07:54
and eventually discover that they may have goals
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te s vremenom otkriti kako mogu imati ciljeve
07:57
that are contrary to human needs.
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koji su suprotni ljudskim potrebama.
07:59
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.
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Podržavaju ga ljudi poput Elona Muska i Stephena Hawkinga.
08:06
With all due respect
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Sa svim dužnim poštovanjem
08:09
to these brilliant minds,
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prema tim briljantnim umovima,
08:12
I believe that they are fundamentally wrong.
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vjerujem kako su oni iz temelja u krivu.
08:14
Now, there are a lot of pieces of Dr. Bostrom's argument to unpack,
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Sad, ima puno dijelova 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.
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super znanje je vrlo različito 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.
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samo stoga što je HAL upravljao svime u Discoveryju.
08:32
So it would have to be with a superintelligence.
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Tako bi trebalo biti i sa superinteligencijom.
08:35
It would have to have dominion over all of our world.
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Morala bi imati vlast nad cijelim našim svijetom.
08:37
This is the stuff of Skynet from the movie "The Terminator"
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Tako je sastavljen Skynet 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.
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koja je vodila svaki uređaj 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,
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Ne gradimo UI-e koji kontroliraju vrijeme,
08:54
that direct the tides,
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koji upravljaju plimom,
08:55
that command us capricious, chaotic humans.
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koji upravljaju nama jogunastima, kaotičnim ljudima.
08:58
And furthermore, if such an artificial intelligence existed,
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I nadalje, ako bi takva umjetna superinteligencija postojala,
09:02
it would have to compete with human economies,
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morala bi se nadmetati sa ljudskim ekonomijama,
09:05
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
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Brinuti sada o usponu superinteligencije
09:30
is in many ways a dangerous distraction
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je na puno načina opasno odvraćanje pažnje
09:33
because the rise of computing itself
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stoga što nam već uspon računarstva sam
09:35
brings to us a number of human and societal issues
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donosi brojna ljudska i društvena pitanja
09:38
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
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Kako mogu donijeti razumijevanje 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?
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Kako mogu produljiti i poboljšati ljudski 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)
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