Richard Dillon Sues Jacksonville Beach Police Over 93% AI Match That Led to Wrongful Arrest
Updated
Updated · CBS New York · Jun 10
Richard Dillon Sues Jacksonville Beach Police Over 93% AI Match That Led to Wrongful Arrest
3 articles · Updated · CBS New York · Jun 10
Summary
Eight months after warning police they had the wrong man, Richard Dillon was arrested at his Florida home, jailed overnight and forced to post bond before charges were dropped about two months later.
A new ACLU lawsuit says Jacksonville Beach police relied on FACESNXT facial recognition after running cellphone photos of surveillance footage through the system, which returned Dillon as a 93% facial-feature match.
The complaint argues officers ignored obvious problems: Dillon said he was more than 300 miles away, had distinctive facial scars unlike the suspect's, and police allegedly used shadowed, off-axis images and no victim photo identification.
The case adds to more than a dozen publicly known false arrests tied to facial recognition, as privacy advocates push courts to set clearer limits on police use of databases covering 117 million Americans.
A 93% AI match put an innocent man behind bars. Was this a technology failure or a human one?
As police increasingly rely on AI to identify suspects, are your constitutional rights becoming obsolete?
Faces of Injustice: How Faulty AI Facial Recognition Led to Wrongful Arrests and Legal Battles in America
Overview
The Robert Dillon case highlights the serious risks of using faulty AI facial recognition in policing. In August 2024, Dillon was wrongfully arrested in Fort Myers, Florida, after the 'Faces' system mistakenly linked him to a crime in Jacksonville Beach. Police ignored evidence that could have cleared him, leading to significant legal struggles before his case was dismissed. Even after being cleared, Dillon suffered lasting trauma, damage to his reputation, and financial loss. In response, he filed a civil lawsuit with the ACLU’s support, seeking accountability for the harm caused by the flawed technology and investigative failures.