Dave Gershgorn

OneZero’s General Intelligence is a roundup of the most important artificial intelligence and facial recognition news of the week.
Modern artificial intelligence relies on algorithms processing millions of examples or images or text. A picture of a bird in an A.I. dataset would be manually tagged “bird” so that the algorithm associated aspects of that image with the category “bird.”
The process of tagging this data, by hand, scaled to the millions, is time-consuming and mind-numbingly monotonous.
Much of this work is done outside the United States and other Western countries and exploits workers from around the world, according to a new paper from Princeton, Cornell, University of Montreal, and the National Institute of Statistical Sciences.
Data-labeling companies like Sama (formerly Samasource), Mighty AI, and Scale AI use labor from sub-Saharan Africa and Southeast Asia, paying employees as little as $8 per day. Meanwhile, these companies earn tens of millions of dollars in revenue per year.
Take Amazon Mechanical Turk, an online gig working platform where anyone in the world can log on and perform simple tasks for a few cents each. Until 2019, Mechanical Turk required a U.S. bank account to get paid, meaning that anyone working for the platform without access to U.S. banking wouldn’t even be paid in legal currency. Instead they were compensated in Amazon gift cards.











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