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【Economist】Digital labour: The human cumulus

英文杂志  · 公众号  · 英语  · 2017-08-31 06:00

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每一次产业升级过后都会带来新的就业机会,人工智能在导致部分人失业的同时也会创造很多新的就业岗位。可以预见的是,未来大部分知识型工作会逐渐被机器所取代,但人类作为管理者和控制者的角色仍然十分重要,人类和机器合作将会成为一种主要的工作模式。

Artificial intelligence will give rise to new forms of work



WHEN the first printed books with illustrations started to appear in the 1470s in the German city of Augsburg, wood engravers rose up in protest. Worried about their jobs, they literally stopped the presses. In fact, their skills turned out to be in higher demand than before: somebody had to illustrate the growing number of books.


Fears about the impact of technology on jobs have resurfaced periodically ever since. The latest bout of anxiety concerns the arrival of artificial intelligence (AI). Once again, however, technology is creating demand for work. To take one example, more and more people are supplying digital services online via what is sometimes dubbed the “human cloud”. Counter-intuitively, many are doing so in response to AI.


According to the World Bank, more than 5m people already offer to work remotely on online marketplaces such as Freelancer.com and UpWork. Jobs range from designing websites to writing legal briefs, and typically bring in at least a few dollars an hour. In 2016 such firms earned about $6bn in revenue, according to Staffing Industry Analysts, a market researcher. Those who prefer work in smaller bites can use “micro-work” sites such as Mechanical Turk, a service operated by Amazon. About 500,000 “Turkers” perform tasks such as transcribing bits of audio, often earning no more than a few cents for each “human-intelligence task”.


Many big tech companies employ, mostly through outsourcing firms, thousands of people who police the firms’ own services and control quality. Google is said to have an army of 10,000 “raters” who, among other things, look at YouTube videos or test new services. Microsoft operates something called a Universal Human Relevance System, which handles millions of micro-tasks each month, such as checking the results of its search algorithms.


These numbers are likely to rise. One reason is increasing demand for “content moderation”. A new law in Germany will require social media to remove any content that is illegal in the country, such as Holocaust denial, within 24 hours or face hefty fines. Facebook has announced that it will increase the number of its moderators globally, from 4,500 to 7,500.


AI will eliminate some forms of this digital labour—software, for instance, has got better at transcribing audio. Yet AI will also create demand for other types of digital work. The technology may use a lot of computing power and fancy mathematics, but it also relies on data distilled by humans. For autonomous cars to recognise road signs and pedestrians, algorithms must be trained by feeding them lots of video showing both. That footage needs to be manually “tagged”, meaning that road signs and pedestrians have to be marked as such. This labelling already keeps thousands busy. Once an algorithm is put to work, humans must check whether it does a good job and give feedback to improve it.







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