A man suing Florida police alleges that cops relied on a faulty facial recognition match and concealed exculpatory evidence when they arrested him on a charge of attempting to lure a child in August 2024. The plaintiff, Robert Dillon, was arrested after a facial recognition system flagged him as a 93 percent match to a suspect filmed by a McDonald's surveillance camera.
"This case is about what happens when police let an error-prone artificial intelligence system stand in for an investigation," said the lawsuit filed today. "A facial recognition algorithm flagged Robert Dillon as the man who tried to lure or entice a child under twelve years old at a Jacksonville Beach McDonald’s. It was wrong. Mr. Dillon, a fifty-two-year-old resident of Fort Myers, had never set foot in Jacksonville Beach. But rather than test the machine’s answer against the evidence that would have cleared him, the officers built a case to confirm it. Mr. Dillon was arrested and prosecuted for one of the most stigmatizing crimes a person can face."
Dillon lives more than 300 miles from Jacksonville Beach, and a police search of a license plate reader database found no evidence he was in the area when the alleged crime was committed, the lawsuit said. Dillon was flagged as the suspect based on a low-quality image, specifically a photo taken of a McDonald's computer screen that was displaying video surveillance footage, the lawsuit said.
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