Name: 【TED】蘇珊‧艾特林格: 我們應該拿這些大數據怎麼辦？ (Susan Etlinger: What do we do with all this big data?)
Uploaded: 2014-11-12T23:58:10.000Z
Duration: 12 min 28 s

The moon landing, the internet, the ability to sequence the human genome

登陸月球、網際網路、人體基因排序

but it also taps into a lot of humans’ fear

and about thirty years ago, the cultural critic Neil Postman wrote a book call the amusing ourselves to death

大約30年前 著名的文化評論家尼爾˙波茲曼寫了本書《娛樂至死》

And here’s what he said comparing the dystopian visions of George Orwell and Aldous Huxley

他比較喬治˙奧威爾和奧爾德斯˙赫胥黎的反烏托邦思想:

He said ‘Orwell fear that we will become a captive culture; Huxley fear that we would become a trivial culture.’

「奧威爾認為我們會被禁錮、束縛；赫胥黎則擔心人類文化會漸趨瑣碎」

Orwell fear the truth would be conceal from us and Huxley fear we would be drown in the sea of irrelevance.

「奧威爾擔心事實被掩蓋；赫胥黎則煩惱人類會迷失在無關緊要的數據資料裡」

In a nut shell, it’s a choice between big brother watching you and you watching big brother.

簡而言之 就是在「老大哥監督你」和「你監督老大哥」之間選擇(註: 此處暗指英格蘭社會主義的監視活動與極權統治vs看"Big Brother"這個實境節目)

But it doesn’t have to be this way, we are not passive consumer of data and technology.

其實不必如此 我們不是資訊和科技的被動接收者

We shape the role it place in our life and the way we made meaning from it.

我們能定義科技在生活中的角色

But to do that, we have to pay as much attention to how we think as how we code

這時留心思考模式以及撰寫程式語言的過程 就變得同等重要

We have to ask question and hard question to move pass counting things to understanding them

發掘更深入的問題 才能超越單純數算 盡一步了解資訊本身

We’re constantly bombarded with stories about how much data there is in the world

我們不斷聽到:「現在資訊爆炸到非常誇張的程度」

But when it comes to big data, and the challenge is interpreting it

面對大量數據還有資訊 最困難的是解讀

There’s also the speed of which it moves

And here are just the few examples, Images

And what unites these despair it types of data

其意義也都取決於不同情境與狀況

Now, there’s a group of data scientists at the university of Illinos at Chicago

一群芝加哥伊利諾州大學的數據科學家

And they are called the Health Media collaboratory.

組成了「衛生媒體合作實驗室」

And they have been working with the center for disease control

To better understand, how people talk about quitting smoking

And what they can do collectively to help them quit.

還有如何攜手讓癮君子成功戒菸

The interesting thing is if you wanna understand how people talk about smoking

了解大家怎麼談論「smoking」(註: 本意為抽菸) 其實很有趣

First you have to understand what they mean, when they say smoking

你首先得知道他口中的「smoking」所指為何

And on Tweeter, they are four main categories.

第三種指的是煙燻肋排(smoking ribs)

第四種則是嗆辣美眉(smoking hot women)

So…then you have to think about what have the people talk about electronic cigarets?

確定之後 下一步是找出大家對電子香菸的看法

And there are so many different ways that people do this

And people are messy and were complex and we use metaphors and slang and jargon

而人類混亂、難懂 我們還使用比喻、俚語和黑話

And we do this twenty-four seven and many many languages.

用這些東西進行溝通 許多語言都是這樣

And then as soon as we figure it out, we change it up.

單字意思確立後 馬上又有衍伸意義

So…did this ads that cdcs put on these television ads that feature a woman with a hole in her throat

疾管局在電視節目中放送的廣告: 吸菸的女人喉嚨破了個洞

And that were very graphic and very disturbing

Did they actually have an impact on whether people quit?

And helpfully, the collaboratory respect the limits of their data

雖然衛生媒體合作實驗室了解手上數據有其限制

But they were able to conclude that those advertisements and you may have seen them

他們仍能結論: 那些你或許也看過的戒菸文宣

They have the affect of jotting people into a thought process.

That may have an impact on future behavior.

And…what I admire, and appreciate about this project design from the fact, including the fact

我很欣賞這個計畫 他們選擇了「抽菸」這個現實作為出發點

It’s a fantastic example of courage and the face of the sea of relevance.

它還展現了面對瑣碎資訊所需的勇氣 堪稱絕佳典範

And so…it’s not just big data that causes challenge and interpretation.

不只有龐大的資料數據會帶來挑戰和解讀困難

Because let’s face it. We human-beings have a very rich stream of taking any among of data

That formal president Ronald Reagan was very criticize for making a statement the facts are stupid things

前總統雷根因為說出「事實是蠢笨的東西」而廣受批評

And it was a slip of the tongue. Let’s be fair.

He actually meant to quote John Adams’ defense British soldiers in the Boston Massacre trial

他本來要引述波士頓大屠殺案審判中 約翰˙亞當斯為英國士兵辯護的名言

But I actually think there’s a bit of accidental wisdom in what he said.

When I tell you a personal story about why this matters a lot to me

這句話對我意義重大 因為我的親身經歷印證了同個道理

My son Isaac when he was two, he is diagnose with autism.

我兒子以撒兩歲時 被診斷為自閉症

And he was happy, hilarious, loving and affectionate little guy.

他是個充滿愛、喜悅、情感豐富的快樂小傢伙

but the metrics on his developmental evaluations, which looked at things like the number of words — at that point, none

發展評估是用「會說幾個字」作為標準 當時的他一個字都講不出來

Communicate with gestures and minimum eye contact put his developmental level at that of a nine months old baby.

僅能以手勢溝通、稀少的眼神接觸 讓他的發展程度被評為9個月大的嬰兒

And the diagnosis fact is actually correct but it didn’t tell the whole story.

以數據來看 診斷沒錯 但並非故事全貌

And about a year and a half later, he was almost four.

I found him in front of the computer one day.

And I did what any you know…upset parents will do

just immediate started hitting the back bottom to see what else he has been searching for

馬上衝過去按「上一頁」 看他還搜尋了什麼

And they were in order men, school, bus and computer (cpyutr)

結果依序是男人(men)、學校(school)、公車(bus)和電腦(computer誤拼為cpyutr)

Because we didn’t know that he could spell much less read

我問他: 「以撒 你怎麼辦到的?」

And he looked at me very seriously and said ‘type in the box’

他認真的看著我 說: 「在搜尋欄打字」

And this is what happens when assessment and analytics over value one matrix in this case verbal communication

這就是單一指標和分析產生的盲點 只看口語表達

And undervalue others’ such as creating problem solving.

而低估了其他才能 諸如創造力和問題解決

And so he found a work around to find out what he needed to know.

And when you think about it, it makes a lot of sense.

Because forming a question is really complex process.

But he can get himself a lot of way there. By putting a word in the search box.

但只要在搜尋欄裡輸入文字 他就能進步神速

And so this little moment had a really profound impact on me.

那個瞬間對我和家人 影響都非常深遠

In our family. Because it helps us change our reference for what’s going on for him.

因為這改變了我們對於他狀況的看法

And worry of a little bit less and appreciate his resource more.

我們學會了不過分擔憂他的情況 且多欣賞他另外的天賦

And they’re vulnerable to misuse willful or otherwise.

字幕列表影片播放

【TED】蘇珊‧艾特林格: 我們應該拿這些大數據怎麼辦？ (Susan Etlinger: What do we do with all this big data?)

people

fear

impact

critical