Man Sues Florida Police Following Arrest Based on Faulty Facial Recognition
A lawsuit has been filed against Florida police by Robert Dillon, who claims his arrest in August 2024 for attempting to lure a child was based on a faulty facial recognition match. The suit alleges police relied on an "error-prone artificial intelligence system" and concealed evidence that would have cleared him. Dillon was flagged as a 93 percent match to a suspect from a low-quality McDonald's surveillance image, despite living over 300 miles from the alleged crime scene.
Robert Dillon has filed a lawsuit against Florida police, alleging that his arrest in August 2024 for attempting to lure a child was a result of a faulty facial recognition match. The lawsuit claims that law enforcement relied on an "error-prone artificial intelligence system" and concealed exculpatory evidence during the investigation.
Dillon was arrested after a facial recognition system identified him as a 93 percent match to an individual captured in a McDonald's surveillance video. The lawsuit argues that the police "let an error-prone artificial intelligence system stand in for an investigation."
According to the lawsuit, Dillon, a 52-year-old resident of Fort Myers, was not in Jacksonville Beach, where the alleged crime occurred, at the time. He lives more than 300 miles away from the location. The suit further states that a police search of a license plate reader database found no evidence of his presence in the area.
The identification was reportedly based on a low-quality image, specifically a photograph taken of a McDonald's computer screen displaying the surveillance footage.
(Source: Ars Technica)
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