A bold idea to replace politicians | César Hidalgo

400,532 views ・ 2019-04-03

TED


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譯者: Lilian Chiu 審譯者: Bruce Sung
00:13
Is it just me,
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只有我這樣嗎?
00:15
or are there other people here
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還是這裡的其他人也都一樣,
00:17
that are a little bit disappointed with democracy?
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對民主感到有一點失望?
00:20
(Applause)
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(掌聲)
00:24
So let's look at a few numbers.
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咱們先來看看幾個數字,
00:26
If we look across the world,
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如果從全球來看,
00:29
the median turnout in presidential elections
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總統大選的投票率中位數,
00:33
over the last 30 years
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在過去三十年間,
00:34
has been just 67 percent.
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只有 67%。
00:38
Now, if we go to Europe
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如果我們去看歐洲,
00:40
and we look at people that participated in EU parliamentary elections,
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去看參與歐洲議會大選的人,
00:44
the median turnout in those elections
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那些選舉的投票率中位數
00:46
is just 42 percent.
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只有 42%。
00:50
Now let's go to New York,
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咱們來看看紐約,
00:51
and let's see how many people voted in the last election for mayor.
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看看上一次的市長選舉 有多少人投票。
00:56
We will find that only 24 percent of people showed up to vote.
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我們會發現,只有 24% 的人出席投票。
01:01
What that means is that, if "Friends" was still running,
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這就意味著,如果電視 還在演《六人行》,
01:04
Joey and maybe Phoebe would have shown up to vote.
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只有喬伊,也許加上菲比, 會現身投票。
01:07
(Laughter)
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(笑聲)
01:09
And you cannot blame them because people are tired of politicians.
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你無法怪他們,因為大家 都對政治人物厭倦了。
01:13
And people are tired of other people using the data that they have generated
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大家都厭倦了其他人用 他們產生出來的資料,
01:17
to communicate with their friends and family,
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來和他們的朋友及家人溝通,
把他們變成政治宣傳活動的目標。
01:20
to target political propaganda at them.
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01:22
But the thing about this is that this is not new.
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但,重點是,這現象並不是新的。
01:25
Nowadays, people use likes to target propaganda at you
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現今,大家選擇宣傳活動的 目標時,先看的是「按讚」,
01:28
before they use your zip code or your gender or your age,
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而不是你的郵遞區號、 你的性別,或你的年齡,
01:31
because the idea of targeting people with propaganda for political purposes
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因為,為了政治目的而將人們 變成宣傳活動目標的這個想法,
01:35
is as old as politics.
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其歷史和政治一樣久遠。
01:37
And the reason why that idea is there
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會有這種想法的原因
01:39
is because democracy has a basic vulnerability.
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是因為民主有一項基本的弱點。
01:43
This is the idea of a representative.
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這個弱點就是「代表」的觀念。
01:46
In principle, democracy is the ability of people to exert power.
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原則上,民主是人們 行使權力的能力。
01:50
But in practice, we have to delegate that power to a representative
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但實際上,我們是把權力 委派給一位代表,
01:53
that can exert that power for us.
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讓代表為我們行使權力。
01:56
That representative is a bottleneck,
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那代表就是瓶頸,或是弱點所在。
01:58
or a weak spot.
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01:59
It is the place that you want to target if you want to attack democracy
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如果你想要攻擊民主, 你就會針對那個地方,
02:03
because you can capture democracy by either capturing that representative
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因為若你要俘虜民主, 你可以俘虜代表,
02:07
or capturing the way that people choose it.
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或者俘虜人們選出代表的方式。
02:10
So the big question is:
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所以,關鍵的問題是: 歷史就到此為止了嗎?
02:11
Is this the end of history?
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02:13
Is this the best that we can do
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我們做到最好,就只有這樣嗎?
02:17
or, actually, are there alternatives?
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或者,其實還有其他替代選擇?
02:22
Some people have been thinking about alternatives,
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有些人一直在想有什麼替代選擇,
02:24
and one of the ideas that is out there is the idea of direct democracy.
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他們想出來的其中一個點子 是「直接民主」的概念。
02:28
This is the idea of bypassing politicians completely
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這個概念就是完全繞過政治人物,
02:31
and having people vote directly on issues,
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讓人民針對議題直接投票,
02:33
having people vote directly on bills.
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讓人民直接投票表決法案。
02:36
But this idea is naive
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但這個概念太天真,
02:37
because there's too many things that we would need to choose.
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因為我們有太多選擇要做了。
02:40
If you look at the 114th US Congress,
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以第 114 屆美國國會為例,
02:43
you will have seen that the House of Representatives
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你會發現,美國眾議院
02:46
considered more than 6,000 bills,
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要考量超過六千個法案,
02:49
the Senate considered more than 3,000 bills
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參議院要考量超過三千個法案,
02:51
and they approved more than 300 laws.
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他們核准了超過三百條法律。
02:54
Those would be many decisions
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每個人一個星期內 就要做這麼多的決策,
02:56
that each person would have to make a week
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02:58
on topics that they know little about.
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而且是他們幾乎毫無所知的主題。
03:01
So there's a big cognitive bandwidth problem
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這是一個很大的認知頻寬問題,
03:03
if we're going to try to think about direct democracy as a viable alternative.
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若要把直接民主做為可行的替代選擇 就必須要考量這個問題。
03:08
So some people think about the idea of liquid democracy, or fluid democracy,
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所以,有些人想出一個辦法, 叫做液態民主,或液體民主,
03:12
which is the idea that you endorse your political power to someone,
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也就是你可以把你的 政治權力授予某個人,
03:16
who can endorse it to someone else,
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他又可以再授予別人,
03:18
and, eventually, you create a large follower network
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最終,會創造出一個 大型的追隨著網絡,
03:20
in which, at the end, there's a few people that are making decisions
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在這個網絡中,最終, 只會有幾個人負責決策,
03:24
on behalf of all of their followers and their followers.
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他們代表他們的追隨者, 以及那些追隨者的追隨者。
03:28
But this idea also doesn't solve the problem of the cognitive bandwidth
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但這個想法一樣無法解決 認知頻寬的問題,
03:32
and, to be honest, it's also quite similar to the idea of having a representative.
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老實說,這和採用代表的 想法沒什麼兩樣。
03:36
So what I'm going to do today is I'm going to be a little bit provocative,
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所以,我今天打算 要走比較挑撥的路線,
03:40
and I'm going to ask you, well:
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我要問各位:
03:42
What if, instead of trying to bypass politicians,
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如果,
不要繞過政治人物,
03:49
we tried to automate them?
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而是試著將他們自動化,會如何?
03:57
The idea of automation is not new.
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自動化的想法並不新奇。
04:00
It was started more than 300 years ago,
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至少三百年前就已經有了,
04:02
when French weavers decided to automate the loom.
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那時法國的織布工決定 要將織布機給自動化。
04:06
The winner of that industrial war was Joseph-Marie Jacquard.
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那次工業戰爭的贏家是 約瑟夫 · 馬瑞 · 加卡爾。
04:11
He was a French weaver and merchant
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他是法國織布工和商人,
04:12
that married the loom with the steam engine
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將織布機和蒸汽引擎結合,
04:15
to create autonomous looms.
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創造出了自動織布機。
04:17
And in those autonomous looms, he gained control.
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他靠著那些自動織布機 取得了控制權。
04:20
He could now make fabrics that were more complex and more sophisticated
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他能製造出更複雜、 更精密的布料,
04:24
than the ones they were able to do by hand.
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那是人工無法做出來的。
04:27
But also, by winning that industrial war,
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此外,打贏了那場工業戰爭,
04:29
he laid out what has become the blueprint of automation.
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他也因此為自動化繪製出了藍圖。
04:34
The way that we automate things for the last 300 years
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過去三百年間我們 將事物自動化的方式
04:37
has always been the same:
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都一直沒變過:
04:39
we first identify a need,
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首先,我們找出需求,
04:41
then we create a tool to satisfy that need,
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接著,我們創造出一樣工具 來滿足那個需求,
04:44
like the loom, in this case,
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在這個例子中,工具就是織布機,
04:46
and then we study how people use that tool
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接著,我們研究人們 怎麼使用那工具,
04:49
to automate that user.
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來將使用者自動化。
04:51
That's how we came from the mechanical loom
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我們就是這樣子從機械織布機
04:54
to the autonomous loom,
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走到自動織布機,
04:56
and that took us a thousand years.
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那過程花了我們一千年。
04:58
Now, it's taken us only a hundred years
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後來,我們只花了一百年,
05:00
to use the same script to automate the car.
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就照著同樣的腳本將汽車自動化。
05:05
But the thing is that, this time around,
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但,重點是,這一次,
05:07
automation is kind of for real.
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自動化是玩真的了。
05:09
This is a video that a colleague of mine from Toshiba shared with me
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這支影片是我同事分享 給我的,他在東芝工作,
05:13
that shows the factory that manufactures solid state drives.
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影片展示出的是 製造固態硬碟的工廠。
05:16
The entire factory is a robot.
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整個工廠都是機器人。
05:18
There are no humans in that factory.
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工廠中沒有人類。
05:21
And the robots are soon to leave the factories
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機器人很快就會踏出工廠,
05:23
and become part of our world,
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成為我們世界的一部分,
05:25
become part of our workforce.
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成為我們勞動力的一部分。
05:27
So what I do in my day job
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我的正職
05:28
is actually create tools that integrate data for entire countries
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其實是在創造工具, 來將整個國家的資料整合,
05:32
so that we can ultimately have the foundations that we need
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這麼一來,最終我們就能夠有 我們所需要的基礎,
05:36
for a future in which we need to also manage those machines.
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讓我們在未來 也可以管理那些機器。
05:41
But today, I'm not here to talk to you about these tools
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但,今天,我來這裡要談的不是
這些整合全國資料的工具。
05:44
that integrate data for countries.
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05:46
But I'm here to talk to you about another idea
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我來跟各位談的是另一個想法,
05:49
that might help us think about how to use artificial intelligence in democracy.
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這個想法可能可以協助我們思考 如何將人工智慧用在民主上。
05:53
Because the tools that I build are designed for executive decisions.
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因為我所建造的工具 是用來做重大決策的。
05:58
These are decisions that can be cast in some sort of term of objectivity --
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這些決策是可以 客觀做出的決策——
06:02
public investment decisions.
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公共投資決策。
06:04
But there are decisions that are legislative,
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但,有些決策和立法相關,
06:07
and these decisions that are legislative require communication among people
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這些立法相關決策會需要大家
針對不同的觀點進行溝通,
06:11
that have different points of view,
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06:13
require participation, require debate,
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需要參與,需要辯論,
06:15
require deliberation.
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需要商議。
06:18
And for a long time, we have thought that, well,
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長期以來,我們都以為,
06:21
what we need to improve democracy is actually more communication.
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若要改善民主, 我們需要的是更多的溝通。
06:24
So all of the technologies that we have advanced in the context of democracy,
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所以,我們為了民主 所發展出的所有技術,
06:28
whether they are newspapers or whether it is social media,
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不論是報紙,不論是社交媒體,
都試著提供我們更多的溝通。
06:31
have tried to provide us with more communication.
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06:34
But we've been down that rabbit hole,
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但我們已經身陷困惑中了,
06:35
and we know that's not what's going to solve the problem.
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我們知道這並不能解決問題。
06:38
Because it's not a communication problem,
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因為這並不是一個溝通的問題, 而是認知頻寬的問題。
06:40
it's a cognitive bandwidth problem.
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06:42
So if the problem is one of cognitive bandwidth,
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如果這個問題是認知頻寬的問題,
06:44
well, adding more communication to people
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讓大家有更多的溝通
06:47
is not going to be what's going to solve it.
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並不會是解決方案。
06:50
What we are going to need instead is to have other technologies
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反而,我們需要的是其他的技術,
06:53
that help us deal with some of the communication
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來協助我們處理一些
讓我們超負荷的溝通。
06:56
that we are overloaded with.
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06:58
Think of, like, a little avatar,
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把它想像成是虛擬角色或軟體代理,
07:00
a software agent,
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07:01
a digital Jiminy Cricket --
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數位化的吉明尼蟋蟀—— (註:《木偶奇遇記》裡的角色)
07:03
(Laughter)
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(笑聲)
07:05
that basically is able to answer things on your behalf.
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基本上,它能夠代表你來做回應。
07:09
And if we had that technology,
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如果我們有那種技術,
07:11
we would be able to offload some of the communication
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我們就能夠卸下一些溝通負擔,
07:14
and help, maybe, make better decisions or decisions at a larger scale.
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也許就能協助我們做更好的決策 或更大規模的決策。
07:18
And the thing is that the idea of software agents is also not new.
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其實軟體代理的想法也不是新的。
07:22
We already use them all the time.
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我們已經常常在使用了。
07:25
We use software agents
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我們用軟體代理
07:26
to choose the way that we're going to drive to a certain location,
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來選擇開車前往 某個地點時要走的路線,
07:31
the music that we're going to listen to
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選擇我們要聽的音樂,
07:33
or to get suggestions for the next books that we should read.
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或取得建議,推薦我們 下一次要閱讀什麼書。
07:37
So there is an obvious idea in the 21st century
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所以,在二十一世紀, 有一個很明顯的想法,
07:40
that was as obvious as the idea
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和加卡爾那時候 將蒸汽引擎與織布機
07:43
of putting together a steam engine with a loom at the time of Jacquard.
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結合在一起的想法同樣明顯。
07:49
And that idea is combining direct democracy with software agents.
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那個想法就是將直接民主 與軟體代理結合起來。
07:54
Imagine, for a second, a world
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花點時間想像一下這樣的世界:
07:56
in which, instead of having a representative that represents you
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在這個世界,並不是 由一個代表人來代表你
08:00
and millions of other people,
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以及其他數百萬人,
08:01
you can have a representative that represents only you,
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你可以有單獨屬於你自己的代表,
08:05
with your nuanced political views --
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這個代表保有你細微的政治觀點——
08:07
that weird combination of libertarian and liberal
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古典自由派和自由派的奇特組合,
08:11
and maybe a little bit conservative on some issues
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也許在某些議題上有一點點保守, 在其他議題又很激進。
08:13
and maybe very progressive on others.
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08:15
Politicians nowadays are packages, and they're full of compromises.
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現今的政治人物都是套裝的, 且他們充滿了妥協。
08:18
But you might have someone that can represent only you,
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但你可以有一個只代表你的人,
08:22
if you are willing to give up the idea
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只要你願意接受代表人 不一定要是人類。
08:24
that that representative is a human.
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08:27
If that representative is a software agent,
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如果那個代表人 是個軟體代理程式,
08:29
we could have a senate that has as many senators as we have citizens.
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我們的參議院中的參議員數目 就可以跟公民數目一樣多。
08:33
And those senators are going to be able to read every bill
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那些參議員還能夠 讀過所有的法案,
08:36
and they're going to be able to vote on each one of them.
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且他們能夠針對 每一個法案來投票。
08:39
So there's an obvious idea that maybe we want to consider.
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我們也許可以考慮 這個明顯的想法。
08:42
But I understand that in this day and age,
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但我了解,在現今這個時代,
08:45
this idea might be quite scary.
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這個想法可能會很嚇人。
08:48
In fact, thinking of a robot coming from the future
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事實上,想想看, 一個來自未來的機器人,
08:51
to help us run our governments
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來協助我們的政府運作,
08:53
sounds terrifying.
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聽起來很嚇人。
08:56
But we've been there before.
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但以前就發生過了。
08:57
(Laughter)
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(笑聲)
08:59
And actually he was quite a nice guy.
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其實他人挺好的。
09:03
So what would the Jacquard loom version of this idea look like?
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所以,
這想法的加卡爾織布機版本 會是什麼模樣?
09:10
It would be a very simple system.
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它會是個很簡單的系統。
09:12
Imagine a system that you log in and you create your avatar,
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想像一個你可以登入 創造你的虛擬角色的系統,
09:15
and then you're going to start training your avatar.
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接著你就要開始 訓練你的虛擬角色。
你可以將你的閱讀習慣提供給它,
09:18
So you can provide your avatar with your reading habits,
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09:20
or connect it to your social media,
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或是將它與你的社交媒體連結,
09:22
or you can connect it to other data,
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或將它和其他資料連結,
09:25
for example by taking psychological tests.
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比如,去做心理測驗。
09:27
And the nice thing about this is that there's no deception.
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這麼做的好處是, 不會有欺騙的狀況發生。
09:30
You are not providing data to communicate with your friends and family
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你並不是提供資料 來和你的朋友及家人溝通,
09:33
that then gets used in a political system.
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這些資料接著就會 被一個政治系統拿來使用。
09:36
You are providing data to a system that is designed to be used
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你是把資料提供給一個設計來
為你做政治決策的系統。
09:40
to make political decisions on your behalf.
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09:43
Then you take that data and you choose a training algorithm,
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接著,你提供資料 並選擇一個訓練演算法,
09:47
because it's an open marketplace
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因為它是一個開放的市場, 不同的人可以上傳不同的演算法,
09:48
in which different people can submit different algorithms
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09:51
to predict how you're going to vote, based on the data you have provided.
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根據你提供的資料 來預測你會如何投票。
09:56
And the system is open, so nobody controls the algorithms;
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這個系統是開放的, 沒有人能控制演算法;
09:59
there are algorithms that become more popular
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有些演算法會變得比較熱門, 其他的比較冷門。
10:01
and others that become less popular.
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最終,你能稽核這個系統。
10:03
Eventually, you can audit the system.
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你可以看到你的 虛擬角色怎麼運作。
10:05
You can see how your avatar is working.
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如果你喜歡,就讓它自己運作。
10:07
If you like it, you can leave it on autopilot.
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如果你想要有多一點控制權,
10:09
If you want to be a little more controlling,
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你也可以選擇讓它 在每次做決策之前先詢問過你,
10:11
you can actually choose that they ask you
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10:13
every time they're going to make a decision,
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或是取這兩者之間的 任何部分控制。
10:15
or you can be anywhere in between.
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我們之所以很少去 使用民主的原因之一,
10:17
One of the reasons why we use democracy so little
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10:19
may be because democracy has a very bad user interface.
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可能是因為民主的 使用者介面實在太爛了。
10:23
And if we improve the user interface of democracy,
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如果我們改善民主的使用者介面,
10:25
we might be able to use it more.
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也許我們會更常使用它。
10:28
Of course, there's a lot of questions that you might have.
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當然,你們可能有很多疑問。
10:32
Well, how do you train these avatars?
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你要如何訓練這些虛擬角色?
10:34
How do you keep the data secure?
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你要如何確保資料安全性?
10:36
How do you keep the systems distributed and auditable?
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你要如何讓系統一直是 分散式且可稽核的?
10:39
How about my grandmother, who's 80 years old
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我八十歲的祖母不知道
10:41
and doesn't know how to use the internet?
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如何用網路,怎麼辦?
10:44
Trust me, I've heard them all.
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相信我,這些問題我都聽過。
10:46
So when you think about an idea like this, you have to beware of pessimists
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當你在思考這類的想法時 得要意識到有悲觀主義者,
10:51
because they are known to have a problem for every solution.
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因為他們著名的特色就是 對每個解決方案都會有疑異。
10:55
(Laughter)
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(笑聲)
10:57
So I want to invite you to think about the bigger ideas.
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我想要邀請各位 去思考更大的想法。
11:00
The questions I just showed you are little ideas
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我剛剛向各位展示的 問題都是小想法。
11:03
because they are questions about how this would not work.
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因為它們是關於這個系統 如何無法成功的問題。
11:07
The big ideas are ideas of:
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大想法指的是這些想法:
11:09
What else can you do with this
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如果這個系統碰巧可行, 你還能拿它做什麼?
11:11
if this would happen to work?
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11:13
And one of those ideas is, well, who writes the laws?
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其中一個想法是,誰來訂法律?
11:17
In the beginning, we could have the avatars that we already have,
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一開始,我們會有那些 我們已經擁有的虛擬角色,
11:22
voting on laws that are written by the senators or politicians
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針對參議員或政治人物 所訂的法律來投票,
11:25
that we already have.
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都是既有的法律。
11:27
But if this were to work,
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但如果這個系統成功了,
11:29
you could write an algorithm
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你可以寫一個演算法
11:32
that could try to write a law
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來試著制訂出能得到
11:34
that would get a certain percentage of approval,
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一定百分比的人同意的法律,
11:36
and you could reverse the process.
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你還可以把這個流程反轉。
11:38
Now, you might think that this idea is ludicrous and we should not do it,
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你可能覺得這個想法很荒唐, 我們不該採納,
11:42
but you cannot deny that it's an idea that is only possible
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但無法否認,這個想法只有在
直接民主和軟體代理是種 可參與形式的世界裡
11:45
in a world in which direct democracy and software agents
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11:48
are a viable form of participation.
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才有可能實現。
11:52
So how do we start the revolution?
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所以,我們要如何發動這場革命?
11:56
We don't start this revolution with picket fences or protests
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我們發動這場革命的方式
不是用示威或抗議,
11:59
or by demanding our current politicians to be changed into robots.
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也不要求用機器人 取代目前的政治人物。
12:03
That's not going to work.
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那是行不通的。
12:05
This is much more simple,
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這更簡單許多,
12:06
much slower
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更慢許多,更謙卑許多。
12:08
and much more humble.
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12:09
We start this revolution by creating simple systems like this in grad schools,
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我們發動這場革命的方式 是創造像這樣的簡單系統,
在研究所、圖書館、非營利機構裡。
12:13
in libraries, in nonprofits.
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12:16
And we try to figure out all of those little questions
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我們試著設法解決 所有的小疑問、小問題,
12:18
and those little problems
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12:20
that we're going to have to figure out to make this idea something viable,
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我們得要解決它們, 才能讓這個想法變成可行,
12:23
to make this idea something that we can trust.
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才能讓這個想法變成 我們能信任的想法。
12:26
And as we create those systems that have a hundred people, a thousand people,
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當我們在創造那些系統, 讓一百人、一千人、
12:29
a hundred thousand people voting in ways that are not politically binding,
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十萬人以沒有政治 牽連的方式投票時,
12:33
we're going to develop trust in this idea,
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我們將會發展出 對這個想法的信任,
12:35
the world is going to change,
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世界將會改變,
12:37
and those that are as little as my daughter is right now
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現在和我女兒一樣小的那些人,
12:40
are going to grow up.
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將來會長大。
12:42
And by the time my daughter is my age,
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當我女兒到我這個年紀時,
12:44
maybe this idea, that I know today is very crazy,
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也許,這個現今聽起來 很瘋狂的想法,
12:49
might not be crazy to her and to her friends.
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在她和她朋友看來可能並不瘋狂。
12:53
And at that point,
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到那個時候,
12:55
we will be at the end of our history,
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我們的歷史就走到了終點,
12:58
but they will be at the beginning of theirs.
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但那會是他們的歷史的開端。
13:01
Thank you.
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謝謝。
13:02
(Applause)
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(掌聲)
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