Florida law enforcement faces lawsuits after AI facial recognition leads to wrongful arrests

Florida lawsuit alleges wrongful arrest after police AI facial recognition error

Robert Dillon was arrested at home in Florida despite living 300 miles away, and charges were later dropped A Florida man is suing several law enforcement agencies for his arrest and prosecution for allegedly luring a child after he was wrongly identified using faulty AI facial recognition software. According to the Jacksonville Beach police department, an algorithm returned a 93% probability that Robert Dillon was the man caught on security cameras at a McDonald's in the town attempting to persuade the unaccompanied girl, aged younger than 12, to leave with him. Dillon, however, lives in Fort Myers, more than 300 miles and a five-hour drive away, and told detectives he had never been to Jacksonville Beach in his life. The case was dismissed and charges dropped last year over the August 2024 incident. Now the 52-year-old has filed a lawsuit against the police department, the Jacksonville sheriff's office, and Bob Gualtieri, the sheriff of Pinellas county, whose agency maintains and operates the Faces (Face Analysis Comparison and Examination) system and leases it to other law enforcement. "[The] investigation resulted in the wrongful arrest and prosecution of an innocent man," the American Civil Liberties Union (ACLU) said in a lawsuit filed on Dillon's behalf on Tuesday in district court in Fort Myers. "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." The lawsuit further alleges that Dillon's case is at least the 15th nationally to have involved a person being charged or arrested after a false identification. A Guardian investigation last month found that oversight of AI facial recognition systems was woefully inadequate, in the UK and elsewhere, and that advances in the technology were far outpacing authorities' ability to regulate it. "Rather than test the machine's answer against the evidence that would have cleared him, the officers built a case to confirm it," Dillon's lawsuit said. It identified Scott O'Connell, JBPD's lead investigator on the case, as having deliberately omitted "multiple categories of readily verifiable exculpatory evidence" from the arrest affidavit. The court document said license plate readers showed none of Dillon's vehicles were ever near the restaurant. It also alleged O'Connell withheld from the arrest warrant's issuing magistrate that the photograph run through the Faces software of the suspect was a low-definition, poor quality screen grab of security footage taken on an officer's cellphone, not a digital upload from the recording itself. Additionally, the lawsuit states, O'Connell did not challenge the assertion of a McDonald's employee - who picked out Dillon from a photo line-up of six similar faces - that the suspect was a "regular customer" at her restaurant who had visited multiple times in previous weeks. O'Connell was aware Dillon lived hundreds of miles away, the lawsuit said, and knew that would have been impossible. "These Florida 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," Nate Freed Wessler, deputy director of the ACLU's speech, privacy, and technology project, said in a statement. "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." In a separate but similar case reported earlier this month, Jalil Richardson, of Charlotte, North Carolina, said he was extradited to Jacksonville and spent almost three months in jail after automated facial recognition placed him at the scene of a car theft. Timecards showed he was at work 400 miles away when the theft occurred. Dillon, meanwhile, said he remained traumatized by 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," he said. "Florida police must implement safeguards and ensure this never happens to anyone else, because until they do, nobody is safe." The Guardian has contacted the Jacksonville Beach police department for comment.

Innocent Man Freed After Spending Over 50 Days in Jail Due to Horribly Inaccurate AI Facial Recognition Tech

Can't-miss innovations from the bleeding edge of science and tech Jalil Richardson of North Carolina is free after spending over 50 days in jail after being wrongfully arrested for a crime he did not commit. According to Action News Jax, Richardson was initially accused of stealing a vehicle in Jacksonville, Florida, after police fed surveillance video from a private business into their AI-integrated facial recognition system. The system then identified Richardson with what it said was an 85 percent facial recognition match, the Florida attorney's office told Jax. Paired with two "eyewitness" accounts, it was enough to establish probable cause against Richardson, even though he'd been clocked into his job hundreds of miles away when the crime took place. After being arrested and made to spend nearly two months in custody, Richardson and his lawyers were finally able to establish his alibi in court, forcing prosecutors to drop the case -- an infuriating miscarriage of justice, and quite possibly a sign of things to come as cops across the country embrace flawed facial recognition systems as a shortcut to investigating crimes. "There was no proper investigation done to even reach out to me or to see if I was even in Florida," Richardson told Jax. "And I sat in there for over 50 days in the most worst jail ever." Wrongful arrests based on AI facial recognition software are becoming something of a pattern with the Jacksonville Sheriff's Office. Their first victim was Robert Dillon, a "93 percent match" who was wrongfully accused of attempting to lure and kidnap a 12-year-old child. Like Richardson, Dillon was a world away at the time -- a five hour drive on the other side of the state. According to privacy litigation director for the Electronic Frontier Foundation Adam Schwartz, it's the 14th known case of a wrongful arrest due to facial recognition software. "The technology is simply too dangerous for law enforcement to be using at all," Schwartz told Jax. "More than a dozen innocent people have been arrested by police because of errors with face recognition. These errors, majority, are people of color. The largest group of them is Black people." Though the Jacksonville Sheriff's Office rejects "any assumption that the technology discriminates against any specific skin tones," evidence to the contrary is increasingly difficult to deny. Though the Sheriff's office refuses to take any responsibility, their wrongful arrest has all but destroyed Richardson's previous life. On top of losing his job -- no working class person can miss two months and hope to stay on the payroll -- Richardson told Jax he lost his home, as well as custody of two of his kids. "I'm not sure how I'm gonna bounce back from this one, you know," he told reporters. "It's a lot. I'm just taking it one day at a time." More on facial recognition: AI Mistake Throws Innocent Grandmother in Jail for Nearly Six Months