JACKSONVILLE, Fla. — New details are emerging in the case of a North Carolina man who spent more than 50 days in jail after authorities identified him as a suspect in a Jacksonville crime he did not commit. The case began with a report of a stolen vehicle and surveillance video captured at a Publix on Baymeadows Road. Jalil Richardson said investigators never properly verified whether he was even in Florida before identifying him as a suspect. “There was no proper investigation done, um, to even reach out to me or to see if I was even in Florida,” Richardson said. >>> STREAM ACTION NEWS JAX LIVE <<< The State Attorney’s Office said an 85% facial recognition match and two eyewitness identifications were enough to establish probable cause against Richardson. However, prosecutors later dropped the case after evidence showed he was hundreds of miles away in North Carolina at the time of the crime. “And I sat in there for over 50 days in the most worst jail ever,” Richardson said. The State Attorney’s Office told Action News Jax it has identified two cases in which AI facial recognition technology used by the Jacksonville Sheriff’s Office helped develop the wrong suspects. One was Richardson’s case. The other involved Robert Dillon, whose case was also dropped for similar reasons. “The technology is simply too dangerous for law enforcement to be using at all,” said Adam Schwartz, privacy litigation director for the Electronic Frontier Foundation. Schwartz, who has practiced law for 30 years, pointed to a list compiled by the American Civil Liberties Union documenting wrongful arrests nationwide linked to facial recognition errors. [DOWNLOAD: Free Action News Jax app for alerts as news breaks] “More than a dozen innocent people have been arrested by police because of errors with face recognition,” Schwartz
Man wrongfully jailed; prosecutors cite <b>facial recognition</b> match before dropping case
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