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In May 2019, an agent at the Department of Homeland Security received a trove of unsettling images. Found by Yahoo in a Syrian user’s account, the photos seemed to document the sexual abuse of a young girl. One showed a man with his head reclined on a pillow, gazing directly at the camera. The man appeared to be white, with brown hair and a goatee, but it was hard to really make him out; the photo was grainy, the angle a bit oblique. The agent sent the man’s face to child-crime investigators around the country in the hope that someone might recognize him.
When an investigator in New York saw the request, she ran the face through an unusual new facial recognition app she had just started using, called Clearview AI. The team behind it had scraped the public web — social media, employment sites, YouTube, Venmo — to create a database with three billion images of people, along with links to the web pages from which the photos had come. This dwarfed the databases of other such products for law enforcement, which drew only on official photography like mug shots, driver’s licenses, and passport pictures; with Clearview, it was effortless to go from a face to a Facebook account.
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