Don't fear superintelligent AI | Grady Booch

270,465 views ・ 2017-03-13

TED


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Translator: Alicia Fontela Morán Reviewer: Xosé María Moreno
00:12
When I was a kid, I was the quintessential nerd.
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Cando era un neno, era o típico friqui.
00:17
I think some of you were, too.
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Creo que algúns de vostedes tamén.
00:19
(Laughter)
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(risos)
00:20
And you, sir, who laughed the loudest, you probably still are.
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E vostede, señor, o que ri máis alto, pode que aínda o sexa.
00:23
(Laughter)
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(risos)
00:26
I grew up in a small town in the dusty plains of north Texas,
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Medrei nunha cidade pequena nas poirentas chairas do norte de Texas,
00:29
the son of a sheriff who was the son of a pastor.
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son fillo dun sheriff que era fillo dun pastor.
00:32
Getting into trouble was not an option.
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así que mellor non meterme en problemas.
00:35
And so I started reading calculus books for fun.
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Por tanto comecei a ler libros de cálculo por divertimento.
00:39
(Laughter)
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(risos)
00:40
You did, too.
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Vostede tamén.
00:42
That led me to building a laser and a computer and model rockets,
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Iso levoume a construir un láser, un computador, cohetes,
00:46
and that led me to making rocket fuel in my bedroom.
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e a facer combustible para foguetes no meu cuarto.
00:49
Now, in scientific terms,
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Agora, en termos científicos,
00:53
we call this a very bad idea.
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a iso chámamoslle: unha moi mala idea.
00:56
(Laughter)
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00:57
Around that same time,
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(risos)
Ao mesmo tempo, estreábase
01:00
Stanley Kubrick's "2001: A Space Odyssey" came to the theaters,
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2001, unha odisea no espazo de Stanley Kubrick,
01:03
and my life was forever changed.
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e a miña vida cambiaba para sempre.
01:06
I loved everything about that movie,
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Encantoume todo desa película,
01:08
especially the HAL 9000.
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sobre todo HAL 9000.
01:10
Now, HAL was a sentient computer
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HAL era un computador consciente
01:12
designed to guide the Discovery spacecraft
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deseñado para guiar o Discovery
01:15
from the Earth to Jupiter.
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da Terra a Xúpiter.
01:17
HAL was also a flawed character,
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HAL era ademais un personaxe con defectos,
01:19
for in the end he chose to value the mission over human life.
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xa que ao final lle deu máis importancia á misión ca á vida humana.
01:24
Now, HAL was a fictional character,
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Agora, HAL pertence á ficción
01:26
but nonetheless he speaks to our fears,
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pero aínda así fala dos nosos medos
01:29
our fears of being subjugated
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a sermos dominados
01:31
by some unfeeling, artificial intelligence
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por unha intelixencia artificial (IA) sen sentimentos
01:34
who is indifferent to our humanity.
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que é indiferente á nosa humanidade.
01:37
I believe that such fears are unfounded.
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Creo que eses medos non teñen fundamento.
01:40
Indeed, we stand at a remarkable time
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De feito, estamos nunha importante época
01:43
in human history,
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para a historia humana
01:44
where, driven by refusal to accept the limits of our bodies and our minds,
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na que, por negarnos a aceptar os límites dos nosos corpos e mentes,
01:49
we are building machines
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estamos construíndo máquinas
01:51
of exquisite, beautiful complexity and grace
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de exquisita beleza, complexidade e graza
01:54
that will extend the human experience
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que ampliarán a experiencia humana
01:57
in ways beyond our imagining.
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de formas que nin imaxinamos.
01:59
After a career that led me from the Air Force Academy
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Despois de pasar da Academia da Forza Aérea
02:02
to Space Command to now,
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ao Mando Espacial da Forza Aérea,
02:04
I became a systems engineer,
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pasei a enxeñeiro de sistemas
02:05
and recently I was drawn into an engineering problem
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e hai pouco metéronme nun problema de enxeñaría
02:08
associated with NASA's mission to Mars.
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relacionado coa misión da NASA a Marte.
02:11
Now, in space flights to the Moon,
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Agora, nos voos espaciais á Lúa,
02:13
we can rely upon mission control in Houston
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dependemos do control de Houston para vixiar
02:16
to watch over all aspects of a flight.
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todos os aspectos do voo.
02:18
However, Mars is 200 times further away,
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Porén Marte está 200 veces máis lonxe
02:22
and as a result it takes on average 13 minutes
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e por tanto un sinal tarda arredor de 13 minutos
02:25
for a signal to travel from the Earth to Mars.
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en viaxar dende a Terra ata alí.
02:28
If there's trouble, there's not enough time.
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Se hai algún problema, é demasiado tempo.
02:32
And so a reasonable engineering solution
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Unha solución razoable
02:35
calls for us to put mission control
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pasa por incluír o control da misión
02:37
inside the walls of the Orion spacecraft.
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dentro das paredes da nave espacial Orión.
02:40
Another fascinating idea in the mission profile
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Outra idea fascinante do perfil da misión
02:43
places humanoid robots on the surface of Mars
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sitúa a robots humanoides na superficie de Marte
02:46
before the humans themselves arrive,
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antes ca os propios humanos,
02:48
first to build facilities
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primeiro para construír infraestruturas
02:50
and later to serve as collaborative members of the science team.
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e despois para serviren como colaboradores do equipo científico.
02:55
Now, as I looked at this from an engineering perspective,
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Desde a perspectiva da enxeñaría,
02:57
it became very clear to me that what I needed to architect
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quedoume moi claro que o que necesitaba deseñar
03:01
was a smart, collaborative,
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era unha intelixencia artificial
03:03
socially intelligent artificial intelligence.
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esperta, colaborativa e socialmente intelixente.
03:05
In other words, I needed to build something very much like a HAL
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É dicir, precisaba construír algo moi parecido a HAL
03:10
but without the homicidal tendencies.
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pero sen as súas tendencias homicidas.
03:12
(Laughter)
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(risos)
03:14
Let's pause for a moment.
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Deteñámonos un momento.
03:16
Is it really possible to build an artificial intelligence like that?
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É posible construírmos unha intelixencia artificial coma esa?
03:20
Actually, it is.
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Pois, si.
03:21
In many ways,
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Por moitas razóns,
03:23
this is a hard engineering problem
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este é un difícil problema de enxeñaría
03:25
with elements of AI,
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cos elementos da lA,
03:26
not some wet hair ball of an AI problem that needs to be engineered.
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non só unhas pedriñas no camiño que deben ser tratadas pola enxeñaría.
03:31
To paraphrase Alan Turing,
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Parafraseando a Alan Turing,
03:34
I'm not interested in building a sentient machine.
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Non quero construír unha máquina con sentimentos.
03:36
I'm not building a HAL.
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Non constrúo un HAL.
03:38
All I'm after is a simple brain,
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Só busco un cerebro simple,
03:40
something that offers the illusion of intelligence.
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algo que ofrece a ilusión da intelixencia.
03:44
The art and the science of computing have come a long way
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A arte e a ciencia informática percorreron un longo camiño
03:47
since HAL was onscreen,
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dende que vimos a HAL,
03:49
and I'd imagine if his inventor Dr. Chandra were here today,
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e creo que se o Dr. Chandra, o seu inventor, estivese aquí hoxe,
03:52
he'd have a whole lot of questions for us.
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tería moitas preguntas que facernos.
03:55
Is it really possible for us
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Énos posible coller un sistema
03:57
to take a system of millions upon millions of devices,
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de millóns e millóns de dispositivos,
04:01
to read in their data streams,
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medir os seus datos,
04:02
to predict their failures and act in advance?
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predicir os seus fallos e anticiparnos?
04:05
Yes.
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É.
04:06
Can we build systems that converse with humans in natural language?
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Podemos crear sistemas que falen nunha linguaxe natural?
04:09
Yes.
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Podemos.
04:10
Can we build systems that recognize objects, identify emotions,
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Podemos crear sistemas que recoñezan obxectos,
04:13
emote themselves, play games and even read lips?
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identifiquen e expresen emocións, xoguen, lean os beizos?
04:17
Yes.
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Podemos.
04:18
Can we build a system that sets goals,
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Podemos crear un sistema que fixe metas,
04:20
that carries out plans against those goals and learns along the way?
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cree plans para acadalas e de paso aprenda?
04:24
Yes.
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Podemos.
04:25
Can we build systems that have a theory of mind?
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Podemos construír sistemas que teñan unha teoría da mente?
04:28
This we are learning to do.
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Isto é o que estamos a aprender a facer.
04:30
Can we build systems that have an ethical and moral foundation?
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Podemos construír un sistema que teña principios éticos e morais?
04:34
This we must learn how to do.
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Isto é o que debemos aprender.
04:37
So let's accept for a moment
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Aceptemos por un momento
04:38
that it's possible to build such an artificial intelligence
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que podemos construír esta intelixencia artificial
04:41
for this kind of mission and others.
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para este e outro tipo de misións.
04:43
The next question you must ask yourself is,
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A seguinte pregunta que se deben facer é:
04:46
should we fear it?
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deberiamos de lle ter medo?
04:47
Now, every new technology
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Todas as novas tecnoloxías
04:49
brings with it some measure of trepidation.
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traen consigo certo grao de inquietude.
04:52
When we first saw cars,
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A primeira vez que a xente viu un coche,
04:54
people lamented that we would see the destruction of the family.
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queixábase de que ía destruír as familias.
04:58
When we first saw telephones come in,
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Cando vimos por primeira vez os teléfonos,
05:01
people were worried it would destroy all civil conversation.
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preocupábanos que acabasen coas conversas civilizadas.
05:04
At a point in time we saw the written word become pervasive,
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Nalgún momento cremos que a escritura se volvería ubicua,
05:07
people thought we would lose our ability to memorize.
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que se perdería a capacidade de memorizar.
05:10
These things are all true to a degree,
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Todo isto é verdade ata certo punto,
05:12
but it's also the case that these technologies
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pero tamén o é que estas tecnoloxías
05:15
brought to us things that extended the human experience
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nos brindaron avances que ampliaron a experiencia humana
05:18
in some profound ways.
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de formas moi profundas.
05:21
So let's take this a little further.
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Así que sigamos un pouco máis.
05:24
I do not fear the creation of an AI like this,
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Non me dá medo a creación dunha IA coma esta,
05:29
because it will eventually embody some of our values.
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xa que, co tempo, encarnará algúns dos nosos valores.
05:33
Consider this: building a cognitive system is fundamentally different
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Tendo isto en conta: construír un sistema cognitivo é distinto
05:37
than building a traditional software-intensive system of the past.
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a crear un anticuado sistema baseado en software intensivo.
05:40
We don't program them. We teach them.
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Non os programamos, aprendémoslles.
05:42
In order to teach a system how to recognize flowers,
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Para lles aprendermos a como recoñeceren as flores,
05:45
I show it thousands of flowers of the kinds I like.
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amosaríalles moitas flores das miñas variedades preferidas.
05:48
In order to teach a system how to play a game --
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Para aprenderlles como xogar a un xogo...
05:50
Well, I would. You would, too.
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Eu faríao, e vós tamén.
05:54
I like flowers. Come on.
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De verdade que me gustan as flores.
05:57
To teach a system how to play a game like Go,
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Para ensinarlle a un sistema a xogar a un xogo coma Go
06:00
I'd have it play thousands of games of Go,
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faríao xogar milleiros de partidas.
06:02
but in the process I also teach it
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E no proceso aprenderíalle
06:03
how to discern a good game from a bad game.
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a distinguir unha boa partida dunha mala.
06:06
If I want to create an artificially intelligent legal assistant,
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Se quixese crear unha IA coa función de asistente legal
06:10
I will teach it some corpus of law
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aprenderíalle un corpus legal
06:11
but at the same time I am fusing with it
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ao mesmo tempo que lle introduciría
06:14
the sense of mercy and justice that is part of that law.
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o sentido da misericordia e xustiza que é parte da lei.
06:18
In scientific terms, this is what we call ground truth,
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En termos científicos chámaselles verdades fundamentais
06:21
and here's the important point:
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e o máis importante:
06:23
in producing these machines,
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ao producirmos estas máquinas
06:24
we are therefore teaching them a sense of our values.
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estámoslles inculcando os nosos valores.
06:28
To that end, I trust an artificial intelligence
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Chegados a este punto, confío nunha IA
06:31
the same, if not more, as a human who is well-trained.
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tanto, se non máis, ca nun humano ben adestrado.
06:35
But, you may ask,
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Preguntarédesvos
06:37
what about rogue agents,
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que pasa cos axentes corruptos,
06:39
some well-funded nongovernment organization?
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con algunhas ONG ben financiadas?
06:43
I do not fear an artificial intelligence in the hand of a lone wolf.
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Unha IA en mans dun lobo solitario non me pon medo.
06:46
Clearly, we cannot protect ourselves against all random acts of violence,
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Non nos podemos autoprotexer de todo acto aleatorio de violencia
06:51
but the reality is such a system
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pero a realidade é que tal sistema
06:53
requires substantial training and subtle training
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precisa dun adestramento substancial e sutil
06:56
far beyond the resources of an individual.
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moi por riba das capacidades dun único individuo.
06:59
And furthermore,
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E ademais é máis complicado
07:00
it's far more than just injecting an internet virus to the world,
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ca inxectarmos un virus informático en todo o mundo.
07:03
where you push a button, all of a sudden it's in a million places
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Premendo un botón o virus chega a milleiros de lugares
07:06
and laptops start blowing up all over the place.
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e os portátiles empezan a estoupar.
07:09
Now, these kinds of substances are much larger,
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Agora, este tipo de contidos son moito máis grandes
07:12
and we'll certainly see them coming.
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e vémolos vir.
07:14
Do I fear that such an artificial intelligence
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Teño medo a que unha IA deste tipo
07:17
might threaten all of humanity?
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poida ameazar a toda a humanidade?
07:20
If you look at movies such as "The Matrix," "Metropolis,"
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Se ves películas como Matrix, Metrópolis,
07:24
"The Terminator," shows such as "Westworld,"
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Terminator, series como Westworld
07:27
they all speak of this kind of fear.
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todas tratan este tipo de medos.
07:29
Indeed, in the book "Superintelligence" by the philosopher Nick Bostrom,
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De feito, no libro Superintelixencia do filósofo Nick Bostrom
07:34
he picks up on this theme
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este trata o mesmo tema
07:35
and observes that a superintelligence might not only be dangerous,
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e opina que unha superintelixencia non só podería ser perigosa
07:39
it could represent an existential threat to all of humanity.
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podería representar unha ameaza para toda a humanidade.
07:43
Dr. Bostrom's basic argument
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O argumento do Dr. Bostrom
07:45
is that such systems will eventually
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é que estes sistemas van chegar a ter nun momento
07:48
have such an insatiable thirst for information
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tal insaciable fame de información
07:51
that they will perhaps learn how to learn
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que pode que aprendan a como aprender
07:54
and eventually discover that they may have goals
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e poden chegar a descubrir que teñen obxectivos
07:57
that are contrary to human needs.
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contrarios ás necesidades humanas.
07:59
Dr. Bostrom has a number of followers.
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O Dr. Bostrom ten seguidores.
08:01
He is supported by people such as Elon Musk and Stephen Hawking.
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É apoiado por xente como Elon Musk ou Stephen Hawking.
08:06
With all due respect
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Con todo o meu respecto
08:09
to these brilliant minds,
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por estas mentes prodixiosas,
08:12
I believe that they are fundamentally wrong.
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creo que se equivocan.
08:14
Now, there are a lot of pieces of Dr. Bostrom's argument to unpack,
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Hai moitas partes da argumentación do Dr. Bostrom que analizar
08:17
and I don't have time to unpack them all,
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e agora non teño tempo
08:19
but very briefly, consider this:
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pero de forma moi breve, direi isto:
08:22
super knowing is very different than super doing.
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a supersabedoría é moi diferente da superrealización.
08:26
HAL was a threat to the Discovery crew
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HAL era unha ameaza
08:28
only insofar as HAL commanded all aspects of the Discovery.
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para a tripulación do Discovery só se tomaba o control de toda a nave.
08:32
So it would have to be with a superintelligence.
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O mesmo pasaría cunha superintelixencia.
08:35
It would have to have dominion over all of our world.
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Tería que ter o dominio de todo o mundo.
08:37
This is the stuff of Skynet from the movie "The Terminator"
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Isto é o que pasa coa Skynet de Terminator
08:40
in which we had a superintelligence
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onde temos unha superintelixencia
08:42
that commanded human will,
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que dirixe a vontade humana
08:43
that directed every device that was in every corner of the world.
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e cada dispositivo situado en calquera recuncho do mundo.
08:47
Practically speaking,
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Falando dende a práctica
08:49
it ain't gonna happen.
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isto non vai pasar.
08:51
We are not building AIs that control the weather,
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Non estamos deseñando IA que controlen o clima,
08:54
that direct the tides,
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que dirixan as mareas,
08:55
that command us capricious, chaotic humans.
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nin a nós, os caprichosos e caóticos humanos.
08:58
And furthermore, if such an artificial intelligence existed,
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Ademais, de existir unha intelixencia artificial así
09:02
it would have to compete with human economies,
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tería que competir coas economías humanas
09:05
and thereby compete for resources with us.
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e competir con nós polos recursos.
09:09
And in the end --
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E á fin e ao cabo
09:10
don't tell Siri this --
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(non llo digan a Siri)
09:12
we can always unplug them.
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podemos desconectalos.
09:13
(Laughter)
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(risos)
09:17
We are on an incredible journey
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Estamos nunha incrible viaxe de coevolución
09:19
of coevolution with our machines.
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xunto coas nosas máquinas.
09:22
The humans we are today
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Os humanos que somos agora
09:24
are not the humans we will be then.
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non somos os que seremos daquela.
09:27
To worry now about the rise of a superintelligence
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Preocuparse agora polo auxe dunha superintelixencia
09:30
is in many ways a dangerous distraction
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é unha distracción perigosa
09:33
because the rise of computing itself
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xa que o auxe da informática en si
09:35
brings to us a number of human and societal issues
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xa dá lugar a algúns asuntos humanos e sociais
09:38
to which we must now attend.
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aos que temos que atender.
09:41
How shall I best organize society
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Como se pode organizar a sociedade
09:44
when the need for human labor diminishes?
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cando diminúe a necesidade de capital humano?
09:46
How can I bring understanding and education throughout the globe
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Como podo achegarlle compresión e educación a todo o mundo
09:50
and still respect our differences?
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respectando as nosas diferenzas?
09:52
How might I extend and enhance human life through cognitive healthcare?
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Como podo mellorar a vida das persoas a través da medicina cognitiva?
09:56
How might I use computing
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Como podo utilizar a informática
09:59
to help take us to the stars?
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para que cheguemos ás estrelas?
10:01
And that's the exciting thing.
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E iso é o excitante.
10:04
The opportunities to use computing
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As oportunidades de usar a informática
10:06
to advance the human experience
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para que progrese a experiencia humana
10:08
are within our reach,
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están ao noso alcance
10:09
here and now,
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aquí e agora
10:11
and we are just beginning.
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e isto é só o comezo.
10:14
Thank you very much.
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Moitas grazas.
10:15
(Applause)
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(Aplausos)
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