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Amazon Wellness Guide Calls Workers Industrial Athletes : Report

From deepfakes to TikTok filters: How do you label AI content?

From the Existential Issue: Post-truth and the press

From the Existential Issue: Post-truth and the press The concept of a “post truth” society has been with us since at least 1992, when Steve Tesich, a screenwriter, defined it in a seminal piece for The Nation. America’s shame after Watergate, Tesich wrote, compounded by the speed with which Richard Nixon had been pardoned, made Americans disinclined to face unpleasant truths about our country. The media-savvy Ronald Reagan was able to exploit that shame, betting correctly that neither the press nor the public would have the stomach to look too closely at the sordid role he is believed to have played in the Iran-Contra affair. (“Too soon,” as we would say now.) Tesich observed that the cost of a post-truth society ready to believe comforting lies in the place of painful realities was a diminished and vulnerable citizenry. “All the dictators up to now have had to work hard at suppressing the truth,” he wrote. “We, by our actions, are saying that this is no longer nec

The hidden work created by artificial intelligence programs

close share links Artificial intelligence is often framed in terms of headline-grabbing technology and dazzling promise. But some of the workers who enable these programs  the people who do things like code data, flag pictures, or work to integrate the programs into the workplace  are often overlooked or undervalued. “This is a common pattern in the social studies of technology,” said Madeleine Clare Elish, SM ’10, a senior research scientist at Google. “A focus on new technology, the latest innovation, comes at the expense of the humans who are working to actually allow that innovation to function in the real world.

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