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The ACLU says a Florida man was wrongly arrested after police relied on an inaccurate face-recognition match and left out facts that pointed elsewhere.
In short: The ACLU filed a lawsuit saying Florida police wrongfully arrested a man after treating a face-recognition match as strong evidence.
The American Civil Liberties Union filed suit over the arrest of Robert Dillon, a 52-year-old commercial crabber from Fort Myers, Florida. The lawsuit says Dillon was arrested for allegedly trying to lure a child in Jacksonville Beach, more than 300 miles from where he lives. Dillon says he had never been to that city.
Police relied on a match from FACES, a face-recognition system run by the Pinellas County Sheriff’s Office. Face recognition is software that compares two photos and guesses if they are the same person, like a computer doing a lookalike search. Investigators say FACES returned a “93 percent match,” but the lawsuit argues that score only means the images look similar to the software, not that it is likely they show the same person.
The complaint says several facts that pointed away from Dillon did not reach the judge who signed the arrest warrant. For example, a McDonald’s manager described the suspect as a “regular customer,” and a license plate reader search reportedly did not place Dillon’s vehicles in the area. Dillon was arrested in August 2024, pleaded not guilty in October, and prosecutors dropped the charges weeks later.
This case highlights how a computer suggestion can be treated like a near-certain identification, even when other clues do not fit. For regular people, that can mean losing work, money, and reputation because a system made a bad match, similar to being stopped because someone else looks like you in a blurry photo.
Source: Wired