ACLU Sues Florida Police Over 93% Face Match That Led to Wrongful Arrest
Updated
Updated · WIRED · Jun 10
ACLU Sues Florida Police Over 93% Face Match That Led to Wrongful Arrest
3 articles · Updated · WIRED · Jun 10
Summary
Robert Dillon, a 52-year-old Fort Myers crabber, says Florida police arrested him in 2024 after a face-recognition system produced a 93% match from cellphone photos tied to a child-luring case.
The ACLU alleges officers ignored evidence undermining that match: Dillon lived more than 300 miles away, had never been to Jacksonville Beach, and license-plate reader searches found neither of his vehicles near the scene.
Charges were dropped within weeks of Dillon’s October 2024 not-guilty plea, but the suit says he spent a night in jail, pledged his truck title for bond, lost income during stone crab season and had his mugshot online for nearly a year.
The lawsuit seeks compensatory and punitive damages and demands policy changes from Jacksonville Beach police, the Jacksonville Sheriff and the Pinellas County Sheriff, which has run the FACES database since 2001.
ACLU says Dillon’s case is one of at least 15 known U.S. wrongful arrests linked to face recognition, and follows another Jacksonville-area arrest this year tied to an 85% match.
He was innocent and police had proof. Why did they trust a flawed facial recognition match over the facts?
After this wrongful arrest upended a man's life, the officer involved was promoted. What does this reveal about accountability?
Nine Wrongful Arrests and Counting: The Urgent Need for Reform in Police Facial Recognition Technology
Overview
In August 2024, Robert Dillon was wrongfully arrested in Orlando after police relied almost entirely on a 93% facial recognition match from the Florida Automated Criminal Enforcement System (FACES), without thorough investigation or corroborating evidence. His alibi was initially dismissed, leading to three months of detention until travel records and digital footprints proved he was out of Florida at the time. Dillon’s release in November 2024 highlighted the devastating personal and financial impacts of such errors. This case became central to a major ACLU lawsuit, exposing the dangers of unchecked facial recognition technology and the urgent need for stronger safeguards and oversight.