First Documented Wrongful Arrest by Facial Recognition (Robert Williams)
Detroit police arrested Robert Williams in front of his family on the strength of a faulty facial-recognition match — believed to be the first publicly-documented wrongful arrest caused by AI face matching in the United States.
In January 2020, Detroit police arrested Robert Williams at his home in front of his wife and two daughters based on a facial recognition match to a security-camera image of a watch-store shoplifter. Williams was held for nearly 30 hours before officers admitted the system had matched the wrong person. The Detroit Police Department later acknowledged the system, supplied by DataWorks Plus, was not reliable enough to serve as the sole basis for an arrest. Williams sued the city and settled in 2024 for $300,000 plus binding agreement to revise Detroit's facial-recognition policy. Multiple subsequent wrongful arrests in Detroit (Michael Oliver 2019, Porcha Woodruff 2023) and elsewhere followed the same pattern.
Systems & Vendors Implicated
Sources
What EvalGuard would have caught
Every entry in this catalogue traces back to a guardrail class — chatbot self-harm detection, facial recognition validation thresholds, deepfake watermark verification, algorithmic bias auditing, or compliance gating. See our product catalogue for the specific tools that ship those safeguards today.