A Florida crabber was wrongfully arrested after a faulty facial recognition system falsely matched him to a suspect 300 miles away—despite him never having been near the crime scene. The system, run by Pinellas County, gave a 93% match but failed to account for critical evidence like a store manager confirming he was a regular customer. Dillon spent a night in jail, lost his home, and had his truck title held as bond—all because of a flawed algorithm. Charges were dropped months later, but the ACLU says this isn’t an isolated case, with at least 15 other wrongful arrests tied to this tech. The case exposes the dangerous risks of over-relying on facial recognition, even as some officials admit a match alone isn’t enough for probable cause.
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