Kashmir Hill Confronts the Ugly Side of Facial Recognition Tech in ‘Your Face Belongs to Us’

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KQED

Politics, News, News Commentary

4.6 • 656 Ratings

🗓️ 26 September 2023

⏱️ 56 minutes

🔗️ Recording | iTunes | RSS

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Summary

Everyday people share millions of photos on websites and social media networks. For decades, tech companies have been trying to figure out ways to make the faces in those photos searchable – and monetizable. While that technology has practical uses, it also raises serious privacy questions and has led to problematic cases of mistaken identity. In her book, “Your Face Belongs to Us,” New York Times tech reporter Kashmir Hill investigates the perils of facial recognition software. She chronicles the trajectory of Clearview AI, a company that prioritized speed and profits over ethics, putting millions of unsuspecting people at risk. We’ll talk with Hill about the rise of facial recognition and how to reduce its harms. Guests: Kashmir Hill, tech reporter, New York Times; author, "Your Face Belongs to Us" Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:34.7	From KQED.
0:36.0	From KQED.
0:51.9	Music from KQED. From KQED. From KQED, is by pretty much all accounts, privacy advocates' worst nightmare.
0:57.2	A small team working covertly scraped photos from all over the internet. Then using the open source
1:02.9	knowledge and tools made available by artificial intelligence researchers, they built a Google
1:07.6	for faces, an app that takes in a photo of anyone and spits back a name
1:11.9	and other pictures of that person.
1:14.1	The company and the dilemmas that it raises is the subject of New York Times Tech
1:18.1	Reporter Kashmir Hill's new book, Your Face Belongs to Us.
1:22.3	Who should have access to such software?
1:24.4	Should it even exist at all?
1:25.9	What might it mean for our lives if facial recognition
	...

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