fjo3 shares a report from Reason: Police arrested a man in Florida for attempted child abduction in a town he had never visited, and the only evidence linking him to the crime was an AI facial recognition hit. Represented by the American Civil Liberties Union (ACLU), he is now suing the officers and agencies who put him through it. [...] According to a police report, facial recognition software concluded with 93 percent confidence that the suspect was Robert Dillon. [...]
The ACLU is now suing the city of Jacksonville Beach, as well as the individual police officers and officials involved in the case. According to the lawsuit (PDF), the responding officer viewed security camera footage of the suspect but didn't take a copy; instead, he took pictures of the screen with his cell phone. "In the photos, the suspect image is low resolution, and the suspect's face is partially shadowed and off-axis," the lawsuit claims. When an investigator queried the facial recognition system, it was with the officer's grainy secondhand cell phone photos. [...]
But as the ACLU notes, facial recognition's accuracy "depends significantly on the quality of the probe image. Lower-quality images contain less interpretable facial data, degrading the system's ability to produce a reliable template." At the very least, it requires a much better source image. Besides, no such investigative tool should form the sole basis for an arrest warrant. "If you came to me with a facial recognition hit and that was your probable cause, I would probably kick you out of my office because that's not how it works," Jacksonville Sheriff T.K. Waters told local news. (Waters is among those being sued in the ACLU lawsuit, because it was an investigator from the Jacksonville Sheriff's Office who ran the grainy photo through facial recognition and advised O'Connell it was a "93% match" to Dillon.)
Read more of this story at Slashdot.
Login
