Is your face truly your own, or is it a commodity to be sold, a weapon to be used against you? A company called Clearview AI has scraped the internet to gather (without consent) 30 billion images to support a tool that lets users identify people by picture alone. Though it’s primarily used by law enforcement, should we have to worry that the eavesdropper at the next restaurant table, or the creep who’s bothering you in the bar, or the protestor outside the abortion clinic can surreptitiously snap a pic of you, upload it, and use it to identify you, where you live and work, your social media accounts, and more?
New York Times reporter Kashmir Hill has been writing about the intersection of privacy and technology for well over a decade; her book about Clearview AI’s rise and practices was published last fall. She speaks with EFF’s Cindy Cohn and Jason Kelley about how face recognition technology’s rapid evolution may have outpaced ethics and regulations, and where we might go from here.
In this episode, you’ll learn about:
Kashmir Hill is a New York Times tech reporter who writes about the unexpected and sometimes ominous ways technology is changing our lives, particularly when it comes to our privacy. Her book, “Your Face Belongs To Us” (2023), details how Clearview AI gave facial recognition to law enforcement, billionaires, and businesses, threatening to end privacy as we know it. She joined The Times in 2019 after having worked at Gizmodo Media Group, Fusion, Forbes Magazine and Above the Law. Her writing has appeared in The New Yorker and The Washington Post. She has degrees from Duke University and New York University, where she studied journalism.
This podcast is licensed Creative Commons Attribution 4.0 International, and includes music licensed Creative Commons Attribution 3.0 Unported by their creators. This episode features: