Falsely banned and flagged by an algorithm.

What happens when surveillance turns innocent shoppers into criminals? Danielle Horan’s ordeal started when she visited a Home Bargains store in Greater Manchester—only to be escorted out and banned for shoplifting because a facial-recognition system misidentified her. She was accused of stealing £10 worth of toilet roll, but in reality she had paid. Despite persistent emails, it took weeks to clear her name and finally lift the retail ban. Meanwhile, the emotional damage was done: humiliation, anxiety, and public suspicion—all based on faulty tech .

This isn’t a one-off glitch. Advocacy group Big Brother Watch reports over 35 similar cases—people flagged as criminals, denied entry, with no due process. As one senior officer aptly put it: in retail today, you’re guilty until proven innocent when it comes to AI .

The system may be legal, but legality doesn’t equal legitimacy. Behind every algorithm are fallible humans—and disabled rights. Security companies like Facewatch rely on staff-submitted allegations, and even temporary emotional trauma is too high a price to pay. Big Brother Watch is now calling for a complete ban of facial recognition in retail. Tech convenience should never trump basic human dignity.

In this video, we'll dig into what went wrong, the failure to protect innocent citizens, and why we need urgent reforms—not just better training. Surveillance culture is turning public space into a suspicion zone. That’s not safety. That’s social control. And until we push back, we’re all one error away from becoming the next wrongful suspect.

Source: https://www.bbc.com/news/articles/cdr510p7kymo

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