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Florida man blames wrongful arrest on "error-prone" AI facial recognition

The lawsuit says police used a 93% facial-recognition match and ignored evidence that cleared Robert Dillon, who was arrested months later.

  • On Wednesday, 52-year-old commercial crabber Robert Dillon filed a federal lawsuit against the Jacksonville Beach Police Department, Jacksonville Sheriff's Office, and Pinellas County Sheriff's Office, alleging wrongful arrest and prosecution due to faulty facial recognition software.
  • Police used the Face Analysis Comparison and Examination System in November 2023 to flag Dillon as a '93 percent match' for a child-luring suspect, despite him living more than 300 miles away from the Jacksonville Beach McDonald's.
  • Lead investigator Scott O'Connell allegedly ignored license plate reader evidence that showed none of Dillon's vehicles were near the restaurant, treating the '93 percent match' as near-certain identification without disclosing it represents digital proximity, not probability.
  • Dillon lost income, faced months of prosecution, and suffered lasting reputational damage. Nate Freed Wessler, deputy director of the ACLU's Speech, Privacy, and Technology Project, stressed that "no one should lose their freedom or be scared to leave their house because an algorithm got it wrong."
  • The ACLU reports at least 15 documented wrongful arrests from facial recognition misidentification since 2019, without any federal regulations setting standards on how the technology should be used by law enforcement agencies nationwide.
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Politico broke the news on Wednesday, June 10, 2026.
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