Skip to content
TrackPodcasts
technologyMar 15, 202322:24pending

In Machines We Trust: The AI of the beholder

Get every episode summarized

Each time MIT Technology Review Narrated publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

About this episode

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.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

In Machines We Trust: The AI of the beholder

MIT Technology Review Narrated

0:00
22:24

More episodes

More from MIT Technology Review Narrated

View all episodes →