In Machines We Trust: The AI of the beholder - podcast episode cover

In Machines We Trust: The AI of the beholder

Mar 15, 202322 minSeason 4Ep. 32
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Episode description

Computers are ranking the way people look—and the results are influencing the things we do, the posts we see, and the way we think. Ideas about what constitutes “beauty” are complex, subjective, and by no means limited to physical appearances. Elusive though it is, everyone wants more of it. That means big business and increasingly, people harnessing algorithms to create their ideal selves in the digital and, sometimes, physical worlds. In this episode, we explore the popularity of beauty filters, and sit down with someone who’s convinced his software will show you just how to nip and tuck your way to a better life. Reporting links: https://www.technologyreview.com/2023/03/13/1069649/hyper-realistic-beauty-filters-bold-glamour/ https://www.technologyreview.com/2022/08/19/1057133/fight-for-instagram-face/ We meet: Shafee Hassan, Qoves Studio founder  Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of Business Credits: This episode was reported by Tate Ryan-Mosley, and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green. We’re edited by Michael Reilly and Bobbie Johnson.
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In Machines We Trust: The AI of the beholder | MIT Technology Review Narrated podcast - Listen or read transcript on Metacast