Wrongful Arrest Linked to AI Facial Recognition Error
Robert Dillon was arrested at his home in Florida despite residing 300 miles away, with charges later dismissed.
A man is suing multiple law enforcement agencies following his arrest and prosecution for allegedly attempting to lure a child, after being misidentified by flawed AI facial recognition software.
The Jacksonville Beach police department stated that an algorithm indicated a 93% probability that Robert Dillon was the individual captured on security cameras at a McDonald’s in the town, attempting to persuade an unaccompanied girl under 12 years old to leave with him.
Dillon, however, lives in Fort Myers, over 300 miles and a five-hour drive from Jacksonville Beach, and informed detectives he had never visited the city.
The case was dismissed last year, relating to the August 2024 incident.
Lawsuit Filed Against Law Enforcement Agencies
Now 52 years old, Dillon has filed a lawsuit against the Jacksonville Beach police department, the Jacksonville sheriff’s office, and Bob Gualtieri, the sheriff of Pinellas County. Gualtieri’s agency operates the Faces (Face Analysis Comparison and Examination) system, which is leased to other law enforcement bodies.
The American Civil Liberties Union (ACLU) filed the lawsuit on Dillon’s behalf in district court in Fort Myers on Tuesday, stating:
“[The] investigation resulted in the wrongful arrest and prosecution of an innocent man.”
The ACLU further detailed the impact on Dillon:
“Mr Dillon was arrested at his home in front of his wife. He was accused of attempting to lure a child, a charge carrying devastating social stigma and permanent reputational destruction. He was subjected to months of criminal prosecution, and publicly branded with a mugshot that remains accessible online, long after the charges were dropped.
“He no longer feels comfortable being friendly to children. No law enforcement agency has ever apologized or acknowledged the error.”
Broader Concerns Over AI Facial Recognition
The lawsuit alleges that Dillon’s case is at least the 15th nationwide involving wrongful charges or arrests due to faulty AI facial recognition.
A recent report from last month highlighted inadequate oversight of AI facial recognition systems in the UK and elsewhere, noting that technological advances are outpacing regulatory capabilities.
The lawsuit criticizes law enforcement’s handling of Dillon’s case:
“Rather than test the machine’s answer against the evidence that would have cleared him, the officers built a case to confirm it.”
It identifies Scott O’Connell, the lead investigator from the Jacksonville Beach Police Department (JBPD), as having deliberately omitted multiple categories of verifiable exculpatory evidence from the arrest affidavit.
The court documents indicate that license plate readers confirmed none of Dillon’s vehicles were near the McDonald’s at the time. Additionally, O’Connell allegedly withheld from the magistrate issuing the arrest warrant that the photograph used in the Faces software was a low-resolution, poor-quality screen grab taken from an officer’s cellphone, rather than a direct digital upload from the original recording.
The lawsuit also states that O’Connell did not challenge a McDonald’s employee’s claim, who identified Dillon from a photo lineup of six similar faces and asserted that the suspect was a “regular customer” who had visited multiple times in recent weeks.
Despite knowing Dillon lived hundreds of miles away, the lawsuit claims O’Connell ignored this fact, which would have made the alleged crime impossible.
Calls for Accountability and Reform
Nate Freed Wessler, deputy director of the ACLU’s speech, privacy, and technology project, commented:
“These police departments owe it to Mr Dillon to make amends and to take serious steps to make sure this doesn’t happen to anyone else.”
“Police across the country are on notice: Unreliable face recognition technology is hurting people, and we will keep fighting to hold them accountable for these abuses.”
Similar Cases Highlight Systemic Issues
In a related case, Jalil Richardson from Charlotte, North Carolina, reported being extradited to Jacksonville and jailed for nearly three months after automated facial recognition placed him at a car theft scene. Timecards showed he was at work 400 miles away during the incident.
Dillon described the lasting trauma from his experience:
“Over a year later, I’m still picking up the pieces of my life, all because the police relied on this dangerous technology instead of doing their jobs and actually investigating.”
“Florida police must implement safeguards and ensure this never happens to anyone else, because until they do, nobody is safe.”
has reached out to the Jacksonville Beach police department for comment.
