Facial Recognition AI and Wrongful Arrest

The Case
In 2021, an individual named Robert Julian-Borchak Williams brought a claim for wrongful arrest and imprisonment, due to the misuse of facial recognition technology by the Detroit Police Department. The case highlights the significant flaws and potential dangers of relying on facial recognition systems, especially when used as the primary evidence for arrest.
Williams, a 43-year-old Black man, was arrested on January 9, 2020, in front of his family for a crime he did not commit. He was accused of shoplifting watches from a store in Detroit based on a grainy surveillance video.The Detroit Police Department used facial recognition technology to analyse the video, which incorrectly identified Williams as the suspect.The arrest was made without proper investigation into Williams’s whereabouts during the alleged crime; the only evidence against him was the facial recognition match and a subsequent photo lineup, where a security contractor, who wasn’t present during the theft, identified Williams based on the same grainy video.
Key Issues
The case underscores the dangers of relying solely on facial recognition technology, especially when it’s known to have significant flaws.The facial ID systems are regularly trained on an imbalance of data from white individuals, generating well-known unreliability in identifying non-white (and non-male) individuals. Where these systems are used for the purpose of law enforcement, the bias has a knock on effect, raising racial and gender biases in wrongful arrests.