A Georgia man says authorities wrongly arrested him based on a match generated by facial recognition technology.
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    ATLANTA (AP) — Randal Quran Reid was driving to his mother’s home the day after Thanksgiving last year when police pulled him over and arrested him on the side of a busy Georgia interstate.

    Quran, 29, is among at least five Black plaintiffs who have filed lawsuits against law enforcement in recent years, saying they were misidentified by facial recognition technology and then wrongly arrested.

    The technology allows law enforcement agencies to feed images from video surveillance into software that can search government databases or social media for a possible match.

    Supporters say it has been vital in catching drug dealers, solving killings and missing persons cases and identifying and rescuing human trafficking victims.

    “The use of this technology by law enforcement, even if standards and protocols are in place, has grave civil liberty and privacy concerns,” said Sam Starks, a senior attorney with The Cochran Firm in Atlanta, which is representing Quran.

    Bartholomew, using surveillance video, relied solely on a match generated by facial recognition technology to seek an arrest warrant for Reid after a stolen credit card was used to buy two purses for more than $8,000 from a consignment store outside New Orleans in June 2022, the lawsuit said.

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