評論
打印
Finance and Economics
財經(jīng)
Free Exchange: The digital proletariat
自由交流：數(shù)字無產(chǎn)者
Economists propose a radical solution to the problems posed by artificial intelligence.
針對因人工智能而造成的各種問題, 經(jīng)濟(jì)學(xué)家提出一項激進(jìn)的建議。
You have multiple jobs, whether you know it or not.
不管知道與否，人們身兼多項工作。
Most begin first thing in the morning, when you pick up your phone and begin generating the data that make up Silicon Valley's most important resource.
大多數(shù)人是在早晨拿起手機并開始生產(chǎn)構(gòu)成硅谷最重要資源的數(shù)據(jù)時開始第一項工作的。
That, at least, is how we ought to think about the role of data-creation in the economy, according to a fascinating new economics paper.
據(jù)一篇引人入勝的新經(jīng)濟(jì)學(xué)論文，這至少是我們應(yīng)當(dāng)怎么去思考數(shù)據(jù)創(chuàng)造在經(jīng)濟(jì)中的角色的方式。
We are all digital labourers, helping make possible the fortunes generated by firms like Google and Facebook, the authors argue.
作者指出，我們?nèi)菙?shù)據(jù)勞動力，致使由谷歌和臉書等公司所創(chuàng)造的財富成為可能。
If the economy is to function properly in the future—and if a crisis of technological unemployment is to be avoided—we must take account of this, and change the relationship between big internet companies and their users.
如果經(jīng)濟(jì)要想在未來正常地運轉(zhuǎn)——如果一場技術(shù)性失業(yè)要想得以避免——我們必須對此有所重視，并改變大型互聯(lián)網(wǎng)公司與其用戶之間的這種關(guān)系。
Artificial intelligence (AI) is getting better all the time, and stands poised to transform a host of industries, say the authors (Imanol Arrieta Ibarra and Diego Jimenez Hernandez, of Stanford University, Leonard Goff, of Columbia University, and Jaron Lanier and Glen Weyl, of Microsoft).
這篇論文的作者們（斯坦福大學(xué)的 Imanol Arrieta Ibarra 和 Diego Jimenez Hernandez，哥倫比亞大學(xué)的 Leonard Goff 和 微軟公司的 Jaron Lanier and Glen Weyl）寫道，人工智能(AI)一直都在完善之中并將徹底改變一些行業(yè)。
But, in order to learn to drive a car or recognise a face, the algorithms that make clever machines tick must usually be trained on massive amounts of data.
但是，為了學(xué)習(xí)開車或是識別人臉，讓聰明機器運行的算法必須通常接受海量數(shù)據(jù)的培訓(xùn)。
Internet firms gather these data from users every time they click on a Google search result, say, or issue a command to Alexa.
互聯(lián)網(wǎng)公司從用戶對谷歌搜索結(jié)果的每一次點擊或是向Alexa發(fā)出的每一個指令中那里收集這些數(shù)據(jù)。
譯文來源考研英語時事閱讀
