Don't fear superintelligent AI | Grady Booch

268,925 views ・ 2017-03-13

TED


Please double-click on the English subtitles below to play the video.

Translator: Danly Deng Reviewer: Alan Watson
00:12
When I was a kid, I was the quintessential nerd.
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我細個嗰陣係個書蟲
00:17
I think some of you were, too.
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我估你哋一啲人都係
00:19
(Laughter)
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(笑聲)
00:20
And you, sir, who laughed the loudest, you probably still are.
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仲有你呀,阿生 笑得最大聲嗰個,睇嚟宜家都仲係
00:23
(Laughter)
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(笑聲)
00:26
I grew up in a small town in the dusty plains of north Texas,
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我喺德州北部平原一個鎮仔大嘅
00:29
the son of a sheriff who was the son of a pastor.
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我阿爺係牧師,我老豆係警察
00:32
Getting into trouble was not an option.
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所以自細就係乖乖仔
00:35
And so I started reading calculus books for fun.
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睇微積分書當娛樂
00:39
(Laughter)
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(笑聲)
00:40
You did, too.
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你都係咧
00:42
That led me to building a laser and a computer and model rockets,
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於是我自己整 激光啦、電腦啦、火箭模型啦
00:46
and that led me to making rocket fuel in my bedroom.
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最後仲喺房裏邊整埋火箭燃料
00:49
Now, in scientific terms,
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用我哋宜家科學嘅講法
00:53
we call this a very bad idea.
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係搞搞震無幫襯
00:56
(Laughter)
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(笑聲)
00:57
Around that same time,
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就喺嗰陣
Stanley Kubrick 拍嗰部 《2001太空漫遊》上畫
01:00
Stanley Kubrick's "2001: A Space Odyssey" came to the theaters,
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01:03
and my life was forever changed.
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我嘅生活從此改寫
01:06
I loved everything about that movie,
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我係部片嘅忠實擁躉
01:08
especially the HAL 9000.
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特別中意哈爾 9000
01:10
Now, HAL was a sentient computer
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哈爾係一部機械人
01:12
designed to guide the Discovery spacecraft
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專為太空船導航而設計
01:15
from the Earth to Jupiter.
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指引太空船由地球飛往木星
01:17
HAL was also a flawed character,
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但哈爾都有缺點
01:19
for in the end he chose to value the mission over human life.
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佢最後為實現目的而罔顧人類安全
01:24
Now, HAL was a fictional character,
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哈爾雖然係虛構
01:26
but nonetheless he speaks to our fears,
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但佢反映咗我哋嘅恐懼
01:29
our fears of being subjugated
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就係怕無感情嘅人工智能 以後會操控人類
01:31
by some unfeeling, artificial intelligence
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01:34
who is indifferent to our humanity.
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01:37
I believe that such fears are unfounded.
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我認為呢種恐懼唔成立
01:40
Indeed, we stand at a remarkable time
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講真,人類呢一刻嘅歷史 可以話係最輝煌嘅
01:43
in human history,
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01:44
where, driven by refusal to accept the limits of our bodies and our minds,
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我哋冇向身體同大腦限制低頭
01:49
we are building machines
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反而製造出精良、複雜又美觀嘅機器
01:51
of exquisite, beautiful complexity and grace
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01:54
that will extend the human experience
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協助人類逹至超乎想象嘅領域
01:57
in ways beyond our imagining.
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01:59
After a career that led me from the Air Force Academy
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我以前喺空軍學校同太空指揮部做嘢嘅
02:02
to Space Command to now,
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咁而家,我做咗系統工程師
02:04
I became a systems engineer,
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02:05
and recently I was drawn into an engineering problem
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最近我著手於美國太空總署嘅 火星任務嘅一個工程問題
02:08
associated with NASA's mission to Mars.
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02:11
Now, in space flights to the Moon,
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到目前為止,所有上月球嘅太空船
02:13
we can rely upon mission control in Houston
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我哋都可以留喺休斯頓控制中心控制
02:16
to watch over all aspects of a flight.
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02:18
However, Mars is 200 times further away,
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不過,火星比月球遠 200 倍
02:22
and as a result it takes on average 13 minutes
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於是乎由地球傳送到火星嘅訊號
02:25
for a signal to travel from the Earth to Mars.
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平均要花 13 分鐘先可以送到
02:28
If there's trouble, there's not enough time.
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所以如果中途出咗咩問題
我哋都唔夠時間解決
02:32
And so a reasonable engineering solution
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所以解決方法係
02:35
calls for us to put mission control
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我哋要將任務控制台 裝喺太空船獵戶號嘅墻板裏邊
02:37
inside the walls of the Orion spacecraft.
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02:40
Another fascinating idea in the mission profile
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另一個方法係
02:43
places humanoid robots on the surface of Mars
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喺人類登陸之前 喺火星表面放置一個機械人
02:46
before the humans themselves arrive,
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02:48
first to build facilities
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機械人前期負責興建設施
02:50
and later to serve as collaborative members of the science team.
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後期就加入科學團隊擔當協助
02:55
Now, as I looked at this from an engineering perspective,
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而當我企喺工程師嘅角度嚟睇
02:57
it became very clear to me that what I needed to architect
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我好清楚我要打造嘅 係一個高智能、富團隊精神
03:01
was a smart, collaborative,
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03:03
socially intelligent artificial intelligence.
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同善於交際嘅人工智能
03:05
In other words, I needed to build something very much like a HAL
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換句話嚟講,我要整到好似哈爾咁樣
03:10
but without the homicidal tendencies.
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不過係唔會當人類 係冚家鏟要消滅嘅機械人
03:12
(Laughter)
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(笑聲)
03:14
Let's pause for a moment.
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等陣先
03:16
Is it really possible to build an artificial intelligence like that?
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咁係咪真係有可能整個咁嘅機械人先?
03:20
Actually, it is.
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其實,係可以嘅
03:21
In many ways,
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好多時,設計人工智能元素係好難嘅
03:23
this is a hard engineering problem
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03:25
with elements of AI,
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03:26
not some wet hair ball of an AI problem that needs to be engineered.
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咁唔係講緊整機械人頭髮
03:31
To paraphrase Alan Turing,
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學 Alan Turning 話齋
03:34
I'm not interested in building a sentient machine.
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我無興趣整隻有感覺嘅機器
03:36
I'm not building a HAL.
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亦都唔係生產另一個哈爾
03:38
All I'm after is a simple brain,
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我所追求嘅係一個會簡單思考
03:40
something that offers the illusion of intelligence.
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同有少少智慧嘅機械人
03:44
The art and the science of computing have come a long way
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自從哈爾喺電影出現之後
03:47
since HAL was onscreen,
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計算科學已經發展咗好多
03:49
and I'd imagine if his inventor Dr. Chandra were here today,
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我想像得到,如果發明佢嘅 Chandra 博士今日喺度嘅話
03:52
he'd have a whole lot of questions for us.
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佢實有好多問題問我哋
03:55
Is it really possible for us
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我哋有冇可能 從數以億計嘅設備裡面讀取數據
03:57
to take a system of millions upon millions of devices,
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04:01
to read in their data streams,
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同時預測機器犯嘅錯誤 同埋及早更正呢?
04:02
to predict their failures and act in advance?
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04:05
Yes.
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可以
04:06
Can we build systems that converse with humans in natural language?
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我哋可唔可以 整隻機械人出嚟識講人話?
04:09
Yes.
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可以
04:10
Can we build systems that recognize objects, identify emotions,
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我哋可唔可以整隻機械人
識得識別物體、辨別情感 自帶情感、打機,甚至識讀唇語?
04:13
emote themselves, play games and even read lips?
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04:17
Yes.
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可以
04:18
Can we build a system that sets goals,
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我哋可唔可以整隻機械人識訂立目標
04:20
that carries out plans against those goals and learns along the way?
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實現目標兼且喺過程中自學?
04:24
Yes.
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可以
04:25
Can we build systems that have a theory of mind?
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我哋可唔可以整隻 有思維邏輯嘅機械人?
04:28
This we are learning to do.
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我哋宜家嘗試緊
04:30
Can we build systems that have an ethical and moral foundation?
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我哋可唔可以整隻機械人 明白道德觀念同底線?
04:34
This we must learn how to do.
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呢個任務我哋責無旁貸
04:37
So let's accept for a moment
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咁姑且我哋有可能
04:38
that it's possible to build such an artificial intelligence
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為呢個任務或者其他任務 整隻咁樣嘅機械人
04:41
for this kind of mission and others.
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04:43
The next question you must ask yourself is,
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跟住你實會問
咁嘅人工智能會唔會造成威脅?
04:46
should we fear it?
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04:47
Now, every new technology
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時至今日,每項新科技面世 唔多唔少都會帶嚟不安
04:49
brings with it some measure of trepidation.
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04:52
When we first saw cars,
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以前啲人第一次見到汽車時
04:54
people lamented that we would see the destruction of the family.
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就驚車禍會造成家破人亡
04:58
When we first saw telephones come in,
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以前第一次見到電話時
05:01
people were worried it would destroy all civil conversation.
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啲人就驚人同人之間嘅交流會受到破壞
05:04
At a point in time we saw the written word become pervasive,
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曾幾何時啲人見到文字可以傳送
05:07
people thought we would lose our ability to memorize.
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又驚人類嘅記憶力會喪失
05:10
These things are all true to a degree,
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呢啲不安喺一定程度上嚟講無錯
05:12
but it's also the case that these technologies
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但同時呢啲科技
拓闊咗人類嘅體驗
05:15
brought to us things that extended the human experience
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05:18
in some profound ways.
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05:21
So let's take this a little further.
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我哋不如再講遠啲
05:24
I do not fear the creation of an AI like this,
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我唔驚呢啲人工智能面世
05:29
because it will eventually embody some of our values.
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因為佢最終會接受人類嘅一啲價值
05:33
Consider this: building a cognitive system is fundamentally different
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試下咁唸:製造感知機械人
同製造以前傳統嘅軟件密集型機械人
05:37
than building a traditional software-intensive system of the past.
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係有根本性分別
05:40
We don't program them. We teach them.
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我哋而家唔係編程機械人
我哋係教機械人
05:42
In order to teach a system how to recognize flowers,
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為咗教機械人識別花
05:45
I show it thousands of flowers of the kinds I like.
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我攞幾千種我鍾意嘅花畀佢睇
05:48
In order to teach a system how to play a game --
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為咗教曉機械人點打機——
05:50
Well, I would. You would, too.
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我真係教㗎。你都會咁做
05:54
I like flowers. Come on.
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我真係鍾意花呢——
05:57
To teach a system how to play a game like Go,
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為咗教識機械人打「殺出重圍」
06:00
I'd have it play thousands of games of Go,
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我畀佢打幾千局遊戲
06:02
but in the process I also teach it
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不過呢個過程,我又會教佢 辨別好局同劣局
06:03
how to discern a good game from a bad game.
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06:06
If I want to create an artificially intelligent legal assistant,
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如果我想整隻法律助理機械人
06:10
I will teach it some corpus of law
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我除咗會教佢法律
06:11
but at the same time I am fusing with it
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我仲會教佢法律嘅寛容同公義
06:14
the sense of mercy and justice that is part of that law.
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06:18
In scientific terms, this is what we call ground truth,
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套用科學術語 呢啲係我哋所謂嘅參考標準
06:21
and here's the important point:
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而且重要嘅係:
06:23
in producing these machines,
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製造呢啲機械人時
06:24
we are therefore teaching them a sense of our values.
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我哋將自己嘅價值觀灌輸畀佢
06:28
To that end, I trust an artificial intelligence
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最終,我相信人工智能
06:31
the same, if not more, as a human who is well-trained.
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會同一個受過專業訓練嘅人一樣
06:35
But, you may ask,
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不過,你哋可能會問
06:37
what about rogue agents,
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如果呢啲人工智能被非法分子利用呢?
06:39
some well-funded nongovernment organization?
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06:43
I do not fear an artificial intelligence in the hand of a lone wolf.
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雖然我哋唔可能杜絕所有暴力事件發生
06:46
Clearly, we cannot protect ourselves against all random acts of violence,
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但我唔擔心人工智能落入一啲壞人手中
06:51
but the reality is such a system
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因為人工智能需要持續同細微嘅改進
06:53
requires substantial training and subtle training
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06:56
far beyond the resources of an individual.
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單憑個人資源唔使旨意做到
06:59
And furthermore,
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而且,唔好當成植入網絡病毒咁簡單
07:00
it's far more than just injecting an internet virus to the world,
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07:03
where you push a button, all of a sudden it's in a million places
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唔好以為隨時隨地㩒個掣
07:06
and laptops start blowing up all over the place.
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全世界嘅電腦瞬間就會爆炸
07:09
Now, these kinds of substances are much larger,
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人工智能係複雜好多嘅嘢
07:12
and we'll certainly see them coming.
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但我相信遲早有一日人工智能會出現
07:14
Do I fear that such an artificial intelligence
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我驚唔驚人工智能會威脅全人類?
07:17
might threaten all of humanity?
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07:20
If you look at movies such as "The Matrix," "Metropolis,"
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電影《黑客帝國》、《大都會》
07:24
"The Terminator," shows such as "Westworld,"
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《終結者》、電視劇《西部世界》
07:27
they all speak of this kind of fear.
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呢類影視作品都係刻畫呢種恐懼
07:29
Indeed, in the book "Superintelligence" by the philosopher Nick Bostrom,
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無錯,哲學家 Nick Bostrom 喺《超人工智能》一書裏邊都認為
07:34
he picks up on this theme
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07:35
and observes that a superintelligence might not only be dangerous,
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超人工智能唔單止危險
07:39
it could represent an existential threat to all of humanity.
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而且仲危及全人類
07:43
Dr. Bostrom's basic argument
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佢嘅基本論點有︰
07:45
is that such systems will eventually
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咁樣嘅機械人 最終唔會滿足於眼前擁有嘅資訊
07:48
have such an insatiable thirst for information
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07:51
that they will perhaps learn how to learn
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機械人可能會因而自己鑽研學習方法
07:54
and eventually discover that they may have goals
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以至到最後發現 自己有啲目標同人類需要有矛盾
07:57
that are contrary to human needs.
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07:59
Dr. Bostrom has a number of followers.
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有人支持博森博士嘅觀點
08:01
He is supported by people such as Elon Musk and Stephen Hawking.
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包括 Elon Musk 同霍金
08:06
With all due respect
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我想指出其實幾位智者諗錯咗
08:09
to these brilliant minds,
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08:12
I believe that they are fundamentally wrong.
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08:14
Now, there are a lot of pieces of Dr. Bostrom's argument to unpack,
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Nick Bostrom 嘅理論有好多錯誤
08:17
and I don't have time to unpack them all,
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但我無時間講曬所有
08:19
but very briefly, consider this:
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但簡單嚟講,可以咁理解: 超智能唔代表超萬能
08:22
super knowing is very different than super doing.
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08:26
HAL was a threat to the Discovery crew
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哈爾對於成個太空探索團隊嘅威脅
08:28
only insofar as HAL commanded all aspects of the Discovery.
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僅限於佢可以對探索任務落命令
08:32
So it would have to be with a superintelligence.
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所以任務需要一個超智能機器
08:35
It would have to have dominion over all of our world.
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落命令嘅需要有統治世界嘅能力
08:37
This is the stuff of Skynet from the movie "The Terminator"
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電影《未來戰士 2018》 裡面嘅 Skynet
嗰個可以操控人類意志嘅 超人工智能防禦系統
08:40
in which we had a superintelligence
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08:42
that commanded human will,
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控制曬全世界所有嘅機器同裝置
08:43
that directed every device that was in every corner of the world.
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08:47
Practically speaking,
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即係話
08:49
it ain't gonna happen.
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電影情節係唔會發生
08:51
We are not building AIs that control the weather,
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我哋唔係整隻機械人出嚟呼風喚雨
08:54
that direct the tides,
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08:55
that command us capricious, chaotic humans.
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操控喜怒無常、陷於鬥爭嘅人類
08:58
And furthermore, if such an artificial intelligence existed,
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再者,如果咁樣嘅機械人真係存在
09:02
it would have to compete with human economies,
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佢就會同人類嘅經濟鬥過
09:05
and thereby compete for resources with us.
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甚至同人類爭資源
09:09
And in the end --
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最終結果係——
09:10
don't tell Siri this --
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唔好話俾 Siri 聽——
09:12
we can always unplug them.
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我哋可以隨時熄咗佢哋
09:13
(Laughter)
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(笑聲)
09:17
We are on an incredible journey
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我哋同機械人係共同進化
09:19
of coevolution with our machines.
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09:22
The humans we are today
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未來嘅人類同今日嘅我哋 唔可以同日而語
09:24
are not the humans we will be then.
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09:27
To worry now about the rise of a superintelligence
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人類擔心人工智能帶嚟威脅
09:30
is in many ways a dangerous distraction
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只會令人類唔去真正關心 科技崛起帶嚟嘅人文同社會問題
09:33
because the rise of computing itself
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09:35
brings to us a number of human and societal issues
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而呢啲問題正正係 我哋需要著手解決嘅
09:38
to which we must now attend.
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09:41
How shall I best organize society
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問題例如有︰
當我哋唔再需要勞動力嘅時候 我哋要點去調控社會?
09:44
when the need for human labor diminishes?
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09:46
How can I bring understanding and education throughout the globe
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點樣向全世界傳播知識同教育 同時又尊重當地嘅差異?
09:50
and still respect our differences?
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09:52
How might I extend and enhance human life through cognitive healthcare?
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點樣通過認知式保健幫人類延年益壽?
09:56
How might I use computing
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點樣利用電腦幫人類踏足外太空?
09:59
to help take us to the stars?
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10:01
And that's the exciting thing.
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諗下都覺得興奮
10:04
The opportunities to use computing
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利用計算科學去開拓人類經歷嘅機會 就喺手裏邊
10:06
to advance the human experience
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10:08
are within our reach,
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10:09
here and now,
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10:11
and we are just beginning.
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而我哋只係啱啱捉緊到
10:14
Thank you very much.
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多謝大家
10:15
(Applause)
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(掌聲)
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