On August 7, 2023, a man in Philadelphia, Pennsylvania was wrongfully arrested after facial recognition software misidentified him as a suspect in a robbery. The man, who has not been named, was arrested at his home by police who had been alerted by the software. He was held in jail for several hours before being released after the police realized that they had made a mistake.

This is not the first time that facial recognition software has led to a wrongful arrest.

In 2020, a man named Errol Brown was arrested in New York City after he was mistakenly identified by facial recognition software as a suspect in a robbery. Brown was held in jail for two days before he was released after his lawyer was able to prove that he was not the person in the video.

In 2019, a man named Brandon Jones was arrested in Chicago after he was mistakenly identified by facial recognition software as a suspect in a shooting. Jones was held in jail for three days before he was released after his lawyer was able to prove that he was not the person in the video.

In a study by the National Institute of Standards and Technology (NIST), facial recognition software was shown to be wrong up to 35% of the time. This means that for every 100 people who are stopped by police based on a facial recognition match, 35 of them will be innocent.