The Guardian | Guilty until proven innocent: shoppers falsely identified by facial recognition system struggle to clear their names by Jessica Murray Social affairs correspondent AI generated summary, Read the full article for complete information. Retail stores in the UK are increasingly using live facial‑recognition software called Facewatch to curb shoplifting, but several shoppers – including Ian Clayton, Warren Rajah and Jennie Sanders – have been falsely identified, forced to leave stores, and offered small vouchers as “good‑will” gestures while receiving little assistance in proving their innocence. The company claims a 99.98 % accuracy rate and says human error, not technology failure, caused the incidents, yet critics note higher mis‑identification rates for Black, Asian and female customers, and point out that national oversight lags behind the rapid rollout. Affected individuals struggled to contact the data‑protection team, had to lodge subject‑access requests or send passports to clear their names, and found the Information Commissioner’s Office’s complaints process opaque and slow. Retailers and Facewatch acknowledge the mistakes as “extremely rare” but stress that the system is intended to support, not replace, human decision‑making, while regulators emphasise the need for strict data‑protection compliance and clearer avenues for redress. Read more: https://www.theguardian.com/technology/2026/may/03/guilty-until-proven-innocent-shoppers-falsely-identified-by-facial-recognition-struggle-to-clear-their-name #IanClayton #facialrecognition #race #retailindustry #technology #WarrenRajah #JennieSanders