Insightful human portraits made from data | R. Luke DuBois

116,239 views ・ 2016-05-19

TED


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譯者: Helen Chang 審譯者: 易帆 余
00:12
So I'm an artist,
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我是個藝術家,
00:14
but a little bit of a peculiar one.
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比較特別的那種,
00:16
I don't paint.
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我不畫畫,
00:18
I can't draw.
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我不會畫畫。
00:20
My shop teacher in high school wrote that I was a menace
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工藝老師在我成績單上
寫說我是一個搗蛋鬼。
00:24
on my report card.
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00:25
You probably don't really want to see my photographs.
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我的攝影作品也不太能見人。
00:29
But there is one thing I know how to do:
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但有一件事我很會:
00:31
I know how to program a computer.
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我懂怎麼寫電腦程式,
00:33
I can code.
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我會寫。
00:34
And people will tell me that 100 years ago,
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大家說一百年前
沒有我這種職業,
00:38
folks like me didn't exist,
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00:39
that it was impossible,
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以前覺得不可能、
00:41
that art made with data is a new thing,
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用數據創作藝術很新潮,
00:44
it's a product of our age,
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是這個年代才有的產物,
00:46
it's something that's really important
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因為它真的很「新」,
00:48
to think of as something that's very "now."
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所以它也格外重要。
00:50
And that's true.
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這是真的。
00:52
But there is an art form that's been around for a very long time
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但其實很久以前 就已經有一種藝術形式
00:56
that's really about using information,
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也是利用資訊,
00:58
abstract information,
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利用抽象的資訊,
01:00
to make emotionally resonant pieces.
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創造出蕩氣迴腸的作品,
01:03
And it's called music.
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那就是音樂。
01:05
We've been making music for tens of thousands of years, right?
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我們創作音樂已有上千年了,是吧?
01:09
And if you think about what music is --
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想想音樂是什麼...
01:11
notes and chords and keys and harmonies and melodies --
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音符、和弦、音調、 和聲、旋律...
01:14
these things are algorithms.
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這些東西都是演算法、
01:15
These things are systems
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都是系統,
01:17
that are designed to unfold over time,
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隨著時間流轉展開,
01:20
to make us feel.
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音樂讓我們有所感受。
01:22
I came to the arts through music.
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音樂使我接觸到藝術,
01:23
I was trained as a composer,
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我接受作曲的訓練,
01:25
and about 15 years ago, I started making pieces
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約 15 年前我開始作曲,
01:28
that were designed to look at the intersection
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精心雕琢聲音和影像的交集,
01:31
between sound and image,
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01:33
to use an image to unveil a musical structure
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用影像呈現音樂的結構、
01:35
or to use a sound to show you something interesting
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或是用聲音來表現有趣的事物、
01:38
about something that's usually pictorial.
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一些平常用圖像表示的事物。
01:40
So what you're seeing on the screen is literally being drawn
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所以現在各位在螢幕上看到的
01:44
by the musical structure of the musicians onstage,
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確實是由舞台上音樂家樂曲 的音樂結構所擘畫出來的,
01:47
and there's no accident that it looks like a plant,
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它們不出意外的看起來像是植物,
01:49
because the underlying algorithmic biology of the plant
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因為其背後的植物生物演算法 會啟發這樣的音樂結構。
01:53
is what informed the musical structure in the first place.
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01:56
So once you know how to do this, once you know how to code with media,
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因此一旦你知道這樣的手法, 一旦你會利用媒介寫程式碼,
01:59
you can do some pretty cool stuff.
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你就可以做出一些很酷的東西。
02:02
This is a project I did for the Sundance Film Festival.
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這是我為《日舞影展》做的案子,
02:05
Really simple idea: you take every Academy Award Best Picture,
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概念很簡單:你把奧斯卡 年度最佳影片收集起來,
然後加速成一分鐘的版本,
02:11
you speed it up to one minute each
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02:13
and string them all together.
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再把它們全接起來。
02:15
And so in 75 minutes, I can show you the history of Hollywood cinema.
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所以在這 75 分鐘裡,大家可以 看到好萊塢電影的歷史脈絡,
而它所要呈現的就是,
02:19
And what it really shows you is the history of editing
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好萊塢電影的剪接史。
02:22
in Hollywood cinema.
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02:23
So on the left, we've got Casablanca; on the right, we've got Chicago.
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所以左邊我們有卡薩布蘭加, 右邊則是芝加哥,
02:27
And you can see that Casablanca is a little easier to read.
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比起來這個速度下的 卡薩布蘭加還看得懂
02:30
That's because the average length of a cinematic shot in the 1940s
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因為 1940 年代的電影拍攝, 一個場景的平均長度是 26 秒,
02:34
was 26 seconds,
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02:35
and now it's around six seconds.
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而如今約為 6 秒。
02:38
This is a project that was inspired
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這個專案的啟發自
02:40
by some work that was funded by the US Federal Government
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2000 年代早期由美國 聯邦政府資助的研究
02:43
in the early 2000s,
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02:44
to look at video footage and find a specific actor in any video.
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能夠在任何影片內 搜尋到特定演員。
02:51
And so I repurposed this code to train a system on one person
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我改寫了它的程式碼, 訓練出一套系統,
去識別一個在我們文化裡 永遠不需要被這樣監視的人物
02:56
in our culture who would never need to be surveilled in that manner,
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也就是小甜甜布蘭妮。
03:00
which is Britney Spears.
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03:01
I downloaded 2,000 paparazzi photos of Britney Spears
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我下載了 2000 張她被 狗仔隊拍到的照片,
03:05
and trained my computer to find her face
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並訓練我的電腦 去找出她的臉,
03:07
and her face alone.
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只呈現出她的臉。
透過程式我可以播放任何她的片段, 並且自動讓她的眼睛置於畫面中央,
03:09
I can run any footage of her through it and will center her eyes in the frame,
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03:13
and this sort of is a little double commentary
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表達我們對監視的雙重標準的省思,
03:15
about surveillance in our society.
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03:17
We are very fraught with anxiety about being watched,
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我們很擔心害怕被受到監視,
03:20
but then we obsess over celebrity.
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但同時我們卻又很愛 監視名人的一言一行。
03:24
What you're seeing on the screen here is a collaboration I did
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螢幕上看到的是我和藝術家 連.艾默利思合作的作品。
03:27
with an artist named Lián Amaris.
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螢幕上看到的是我和藝術家 連.艾默利思合作的作品。
03:30
What she did is very simple to explain and describe,
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她的作品說起來很簡單,
做起來卻很難。
03:34
but very hard to do.
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03:35
She took 72 minutes of activity,
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她所要呈現的,就是把 72 分鐘 「晚上出城赴約的準備活動」
03:39
getting ready for a night out on the town,
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03:41
and stretched it over three days
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拉長到三天的時間,
03:43
and performed it on a traffic island in slow motion in New York City.
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她需要在紐約街頭的一個安全島 用慢動作來呈現這一幕
03:47
I was there, too, with a film crew.
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我也在現場,帶著攝影團隊 錄下了整個過程,
03:50
We filmed the whole thing,
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03:51
and then we reversed the process, speeding it up to 72 minutes again,
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然後把它倒放 再加速到 72 分鐘
03:54
so it looks like she's moving normally
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所以她看起來像是以正常的速度移動
03:56
and the whole world is flying by.
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但整個世界卻是在飛速的運轉著。
03:59
At a certain point, I figured out
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突然間我瞭解到
04:01
that what I was doing was making portraits.
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我做的事情是肖像。
04:05
When you think about portraiture, you tend to think about stuff like this.
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提到肖像,各位通常想到的 是螢幕上這種東西。
左邊的人名叫吉伯特.史都華。
04:09
The guy on the left is named Gilbert Stuart.
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04:11
He's sort of the first real portraitist of the United States.
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他可能是美國第一位肖像畫家。
04:14
And on the right is his portrait of George Washington from 1796.
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右邊是他在 1796 年畫的 喬治華盛頓(美國國父)。
04:17
This is the so-called Lansdowne portrait.
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這被稱為「蘭斯道絨」的畫像。
04:19
And if you look at this painting, there's a lot of symbolism, right?
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仔細看看這幅畫中 有很多的象徵,是吧?
04:22
We've got a rainbow out the window. We've got a sword.
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有一道窗外彩虹、 有一把劍、
04:25
We've got a quill on the desk.
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有一支鵝毛筆在桌上,
04:27
All of these things are meant to evoke
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一切的一切都意有所指。
04:29
George Washington as the father of the nation.
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喬治華盛頓, 是這個國家的國父,
04:31
This is my portrait of George Washington.
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這是我的版本。
04:35
And this is an eye chart,
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它像是一個視力測量表,
04:38
only instead of letters, they're words.
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只是我把字母換成了單字,
04:41
And what the words are is the 66 words
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這 66 個單詞是
04:44
in George Washington's State of the Union addresses
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喬治.華盛頓在國情咨文演說中
04:46
that he uses more than any other president.
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比其他總統用得還多的單字。
04:50
So "gentlemen" has its own symbolism and its own rhetoric.
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像是「諸君」這個詞 有其獨特的象徵和修辭意義。
04:54
And it's really kind of significant that that's the word he used the most.
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這個字也很能代表他, 因為他很常使用。
04:58
This is the eye chart for George W. Bush,
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這是小布希總統的視力測量表,
我做出這件作品的時候, 他是當時的總統,
05:01
who was president when I made this piece.
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05:04
And how you get there,
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你可以了解 從「諸君」到「恐攻」
05:05
from "gentlemen" to "terror" in 43 easy steps,
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只歷經了 43 個簡單的步驟, (43屆選舉)
05:08
tells us a lot about American history,
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這道盡了美國的歷史,
05:10
and gives you a different insight
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以一種不同的觀點來呈現、 欣賞一系列的畫作。
05:12
than you would have looking at a series of paintings.
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05:15
These pieces provide a history lesson of the United States
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這一系列的作品, 透過美國領導人的政治語言,
05:19
through the political rhetoric of its leaders.
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為我們上了一堂美國歷史課,
05:21
Ronald Reagan spent a lot of time talking about deficits.
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雷根總統最常提到的是「赤字」。
05:25
Bill Clinton spent a lot of time
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柯林頓總統花很多時間強調
05:26
talking about the century in which he would no longer be president,
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這個世紀已經不再是 他當總統的世紀,
05:30
but maybe his wife would be.
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但他的夫人可能會是。
05:33
Lyndon Johnson was the first President
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強森總統是第一位
05:35
to give his State of the Union addresses on prime-time television;
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在電視黃金時段上 發表國情咨文的總統,
05:39
he began every paragraph with the word "tonight."
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他的每段話都是以「今晚」開頭。
05:41
And Richard Nixon, or more accurately, his speechwriter,
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尼克森總統,說得更精準一點, 他的演講稿撰稿人
05:44
a guy named William Safire,
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名叫威廉.沙法爾,
05:45
spent a lot of time thinking about language
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花很多時間字斟句酌,
05:47
and making sure that his boss portrayed a rhetoric of honesty.
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以確保他老闆的演講「字句真誠」。
05:51
This project is shown as a series of monolithic sculptures.
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這個專案則是呈現 一系列的巨型雕塑——
05:54
It's an outdoor series of light boxes.
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戶外大型燈箱,
05:56
And it's important to note that they're to scale,
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必須特別強調的是 他們是等比例縮小的
05:59
so if you stand 20 feet back and you can read between those two black lines,
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所以如果你離 20 呎遠 還看得到兩條黑線間的字
06:02
you have 20/20 vision.
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你視力 2.0 啊!
06:04
(Laughter)
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(觀眾笑)
06:05
This is a portrait. And there's a lot of these.
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這就是人像描繪, 還有很多像這樣的作品,
06:07
There's a lot of ways to do this with data.
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有很多呈現這些資料的方式,
06:10
I started looking for a way
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我開始尋找一種方法,
06:12
to think about how I can do a more democratic form of portraiture,
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用一種更能讓大眾 接受的形式來呈現
06:17
something that's more about my country and how it works.
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更多有關於我的國家 和它的運轉方式。
06:21
Every 10 years, we make a census in the United States.
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美國每十年會做一次全國普查,
06:25
We literally count people,
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真的一個個去調查,
06:27
find out who lives where, what kind of jobs we've got,
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調查誰住哪裡、你做什麼工作、
06:30
the language we speak at home.
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我們在家說什麼語言?
06:31
And this is important stuff -- really important stuff.
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這些東西很重要,真的非常重要,
06:34
But it doesn't really tell us who we are.
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但這卻無法說明我們是怎樣的人,
06:36
It doesn't tell us about our dreams and our aspirations.
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它無法說明我們的夢想、 啟發我們的思想是什麼。
06:39
And so in 2010, I decided to make my own census.
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因此 2010 年, 我決定來做我自己的人口普查。
06:42
And I started looking for a corpus of data
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我開始尋找那些
由一般美國大眾寫的 有大量描述的語料庫。
06:46
that had a lot of descriptions written by ordinary Americans.
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06:49
And it turns out
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結果我發現,
06:50
that there is such a corpus of data
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的確有這樣的語料庫存在,
06:52
that's just sitting there for the taking.
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就在那燈火闌珊處,
06:54
It's called online dating.
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那就是線上約會網站。
06:56
So in 2010, I joined 21 different online dating services,
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所以 2010 年,我加入了 21 個不同的約會服務,
07:01
as a gay man, a straight man, a gay woman and a straight woman,
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同性戀的、異性戀的、 男的、女的、
07:04
in every zip code in America
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包括美國各地區碼都有,
07:06
and downloaded about 19 million people's dating profiles --
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我下載了 1900 萬人次的 約會檔案,
07:09
about 20 percent of the adult population of the United States.
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也就是大約 20% 美國成人人口。
07:13
I have obsessive-compulsive disorder.
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我有強迫症,
你們很快就會發現我不是開玩笑的, 再忍耐一下...
07:15
This is going to become really freaking obvious. Just go with me.
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07:18
(Laughter)
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(觀眾笑)
07:19
So what I did was I sorted all this stuff by zip code.
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我把這些資料依區碼排序,
07:23
And I looked at word analysis.
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然後做字詞分析,
07:25
These are some dating profiles from 2010
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2010 年的約會檔案
07:28
with the word "lonely" highlighted.
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我們把「寂寞」這個詞畫重點,
07:30
If you look at these things topographically,
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然後與地圖整合,
07:33
if you imagine dark colors to light colors are more use of the word,
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顏色由深到淺代表 這個字的使用量,
07:36
you can see that Appalachia is a pretty lonely place.
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大家會發現阿帕拉契山區 是十分「寂寞」的地區。
07:41
You can also see that Nebraska ain't that funny.
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還可以看到... 內布拉斯加州沒什麼幽默感,
07:48
This is the kinky map, so what this is showing you
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這是一張”怪癖“地圖, 我想告訴大家的是
07:54
is that the women in Alaska need to get together
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阿拉斯加的女生需要和 南新墨西哥州的男生
07:57
with the men in southern New Mexico,
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07:58
and have a good time.
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一起好好地出去玩一玩。
08:00
And I have this at a pretty granular level,
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而且我的資料相當仔細,
08:03
so I can tell you that the men in the eastern half of Long Island
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我可以告訴你長島東半邊的男人 比西半邊的人更熱衷於被「打屁股」。
08:06
are way more interested in being spanked
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08:08
than men in the western half of Long Island.
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08:11
This will be your one takeaway from this whole conference.
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這是你們今天在會場上最大的收穫,
08:14
You're going to remember that fact for, like, 30 years.
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你會記得這個事實,記 30 年!
08:17
(Laughter)
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(笑聲)
08:20
When you bring this down to a cartographic level,
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如果我們依地區展開,
08:23
you can make maps and do the same trick I was doing with the eye charts.
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還可以玩一點類似視力測量表的把戲。
08:26
You can replace the name of every city in the United States
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我們把美國地圖上的城市名字 置換成他們用得最多的字彙,
08:29
with the word people use more in that city than anywhere else.
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你和西雅圖那邊的人約會過, 就會同意這多有道理。
08:32
If you've ever dated anyone from Seattle, this makes perfect sense.
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08:35
You've got "pretty." You've got "heartbreak."
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他們有「正妹」、「心碎」、
08:38
You've got "gig." You've got "cigarette."
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「表演」、「香煙」,
08:40
They play in a band and they smoke.
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他們玩樂團、抽煙,
08:43
And right above that you can see "email."
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上面還可以看到「電子郵件」。
08:45
That's Redmond, Washington,
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那是華盛頓州的雷德蒙,
08:46
which is the headquarters of the Microsoft Corporation.
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也就是微軟總部的所在地。
08:49
Some of these you can guess -- so, Los Angeles is "acting"
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有些大家都猜得到—— 洛杉磯是「演戲」,
08:52
and San Francisco is "gay."
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舊金山是「同志」。
08:54
Some are a little bit more heartbreaking.
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有些就比較令人心碎,
08:56
In Baton Rouge, they talk about being curvy;
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在巴頓魯日,他們大談「胖妞」、
08:58
downstream in New Orleans, they still talk about the flood.
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但在下游的紐奧良說得是「水災」,
09:01
Folks in the American capital will say they're interesting.
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美國大城市的人們 說他們喜歡什麼,
09:03
People in Baltimore, Maryland, will say they're afraid.
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但馬里蘭州巴爾地摩的人, 則是說他們害怕什麼。
09:06
This is New Jersey.
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這是紐澤西州。
09:08
I grew up somewhere between "annoying" and "cynical."
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我是在「討人厭」和 「憤世嫉俗」之間長大的,
09:10
(Laughter) (Applause)
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(觀眾鼓掌笑)
09:15
And New York City's number one word is "now,"
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紐約市的第一名則是「現在」,
09:17
as in, "Now I'm working as a waiter, but actually I'm an actor."
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譬如說「我現在在當服務生, 但其實我是一名演員。」
09:21
(Laughter)
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(笑聲)
09:22
Or, "Now I'm a professor of engineering at NYU, but actually I'm an artist."
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或「我現在在紐約大學當工程學教授, 但我其實是一個藝術家。」
09:26
If you go upstate, you see "dinosaur."
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往北邊看,可以看到「恐龍」,
09:28
That's Syracuse.
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那是西拉鳩思。
09:29
The best place to eat in Syracuse, New York,
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紐約州的西拉鳩思最好吃的餐廳,
09:31
is a Hell's Angels barbecue joint called Dinosaur Barbecue.
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最棒的地獄天使燒烤, 店名就是「恐龍燒烤」,
09:34
That's where you would take somebody on a date.
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必然的約會聖地。
09:36
I live somewhere between "unconditional" and "midsummer," in Midtown Manhattan.
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我現在住在曼哈頓中城, 介於「無條件」和「仲夏」之間,
09:40
And this is gentrified North Brooklyn,
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這是都更後的北布魯克林,
09:42
so you've got "DJ" and "glamorous" and "hipsters" and "urbane."
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會有「DJ」、「五光十色」、 「嬉皮」和「都會」等字。
09:46
So that's maybe a more democratic portrait.
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我想這應該是更普世自發的肖像畫,
09:48
And the idea was, what if we made red-state and blue-state maps
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方法就是,把周五晚上我們想做什麼的基礎 套用在紅藍兩黨的城市地圖上。
09:51
based on what we want to do on a Friday night?
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09:53
This is a self-portrait.
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這是我的自畫像,
09:55
This is based on my email,
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根據我的電子郵件,
09:57
about 500,000 emails sent over 20 years.
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20 年來約有 50 萬封,
10:00
You can think of this as a quantified selfie.
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你可以把它想像成一張 「量化」的自拍照。
10:03
So what I'm doing is running a physics equation
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我把我的個人資料代入物理公式,
10:06
based on my personal data.
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10:07
You have to imagine everybody I've ever corresponded with.
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想像一下,所有我聯絡過的人,
10:10
It started out in the middle and it exploded with a big bang.
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從中間開始,向外爆炸延伸,
10:13
And everybody has gravity to one another,
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而每個人之間互相都有引力,
10:15
gravity based on how much they've been emailing,
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引力大小取決於他們之間 發送電子郵件的頻率
10:18
who they've been emailing with.
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10:19
And it also does sentimental analysis,
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這也有做語意分析,
10:21
so if I say "I love you," you're heavier to me.
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所以如果我說「我愛你」 那麼你對我的引力就越大。
10:23
And you attract to my email addresses in the middle,
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你就會被我中央的 電子郵件所吸引
10:26
which act like mainline stars.
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就像是一線明星一樣。
10:28
And all the names are handwritten.
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而且所有的姓名都是用手寫的。
10:30
Sometimes you do this data and this work with real-time data
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有時候你會用即時性的數據,
10:34
to illuminate a specific problem in a specific city.
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來突顯某個城市的問題。
10:38
This is a Walther PPK 9mm semiautomatic handgun
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這是瓦爾特 PPK 9 釐米半自動手槍,
10:40
that was used in a shooting in the French Quarter of New Orleans
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那是一把兩年前因情人節的停車糾紛 在紐奧良法國區發生的槍擊案手槍。
10:43
about two years ago on Valentine's Day in an argument over parking.
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10:47
Those are my cigarettes.
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這是我的香菸。
10:48
This is the house where the shooting took place.
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這是槍擊案地點的房子。
10:50
This project involved a little bit of engineering.
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這個專案用到一點工程學,
我用一個電腦驅動裝置 帶動腳踏車鏈條來驅動攝影軸,
10:53
I've got a bike chain rigged up as a cam shaft,
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10:55
with a computer driving it.
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10:56
That computer and the mechanism are buried in a box.
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整個電腦和機械被包在一個盒子裡,
10:59
The gun's on top welded to a steel plate.
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手槍被焊在一片鋼板上,
11:01
There's a wire going through to the trigger,
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再用繩索穿過扳機,
11:04
and the computer in the box is online.
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盒子裡的電腦連線到
11:06
It's listening to the 911 feed of the New Orleans Police Department,
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紐奧良警察局的 911 報案電話,
11:09
so that anytime there's a shooting reported in New Orleans,
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所以紐奧良只要有槍擊案上報,
11:12
(Gunshot sound)
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(槍響)
11:13
the gun fires.
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就開槍一次。
11:15
Now, there's a blank, so there's no bullet.
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那是空包彈,不是真的子彈,
11:18
There's big light, big noise
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有強光、很大聲,
11:20
and most importantly, there's a casing.
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更重要的是,又有槍擊案發生了。
11:22
There's about five shootings a day in New Orleans,
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紐奧良每天約有 5 件槍擊案,
11:24
so over the four months this piece was installed,
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所以這件作品展示的四個月間,
11:27
the case filled up with bullets.
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這盒子被子彈填滿了。
11:29
You guys know what this is -- you call this "data visualization."
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你們都知道這是什麼: 你們稱之為「數據視覺化」。
11:34
When you do it right, it's illuminating.
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你做得好,它發光發熱,
11:36
When you do it wrong, it's anesthetizing.
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做得不好,只會使人麻木,
11:39
It reduces people to numbers.
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它把人命簡化成數字。
11:41
So watch out.
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所以要當心這點。
11:44
One last piece for you.
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最後一件作品,
11:46
I spent the last summer as the artist in residence
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去年夏天 我以一名藝術家的身份
11:49
for Times Square.
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駐紮在時代廣場
11:50
And Times Square in New York is literally the crossroads of the world.
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紐約的時代廣場 確實是世界的十字路口,
11:54
One of the things people don't notice about it
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但大家沒有注意到的是,
11:56
is it's the most Instagrammed place on Earth.
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它是全球上傳 Instagram 最多的地方。
11:59
About every five seconds, someone commits a selfie
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幾乎是每 5 秒鐘就有人 在時代廣場自拍上傳,
12:02
in Times Square.
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12:04
That's 17,000 a day, and I have them all.
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也就是每天有 17000 次, 我把它們全抓下來了。
12:07
(Laughter)
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(觀眾笑)
12:08
These are some of them with their eyes centered.
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這些是把他們雙眼置中的照片。
12:11
Every civilization,
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每個文明,
12:12
will use the maximum level of technology available to make art.
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都會用最高階的科技來創造藝術,
12:15
And it's the responsibility of the artist to ask questions
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所以藝術家有責任要提出質問,
12:17
about what that technology means
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思考科技的意義,
12:19
and how it reflects our culture.
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科技如何反應我們的文化。
12:21
So I leave you with this: we're more than numbers.
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最後我想告訴各位的是: 我們不只是一些數字,
12:24
We're people, and we have dreams and ideas.
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我們是「人」, 人有夢想、有理念,
12:26
And reducing us to statistics is something that's done
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把「人」簡化成統計數字
12:29
at our peril.
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是將我們自己至於險境。
12:30
Thank you very much.
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12:31
(Applause)
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非常謝謝大家。
(掌聲)
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