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  • Wrongful arrest in US linked to facial recognition error . . .
    He reiterated to commanders that arrests based on facial recognition matches must be supported by additional investigative evidence This re-instruction came only after Reid had suffered the consequences of an unverified identification The case comes amid a broader national and local debate over the role of facial recognition in policing
  • Facial recognition error sees woman accused of theft
    A woman who was wrongly accused of shoplifting toilet roll due to an apparent mix-up with a facial recognition system was left "fuming" after being ejected from two Home Bargains stores
  • Flawed Facial Recognition Technology Leads to Wrongful Arrest . . .
    Police will be trained on facial recognition technology, including its risks and dangers and that it misidentifies people of color at higher rates An audit will be conducted of all cases since 2017 in which facial recognition technology was used to obtain an arrest warrant
  • JPSO settles over bad arrest from facial recognition match . . .
    In his lawsuit, Reid accused Lopinto and JPSO Detective Andrew Bartholomew of violating his rights by failing to verify a match flagged by Clearview AI, the facial recognition provider Lopinto's
  • Detroit woman suing police, claiming faulty facial . . .
    Faulty use of facial recognition technology led to the unjust arrest of a Detroit woman, she said in a federal lawsuit, alleging that police failed to ask basic questions that could've cleared
  • Facial recognition technology jailed a man for days. His . . .
    Bartholomew, using surveillance video, relied solely on a match generated by facial recognition technology to seek an arrest warrant for Reid after a stolen credit card was used to buy two purses for more than $8,000 from a consignment store outside New Orleans in June 2022, the lawsuit said
  • Facial Recognition Error Sees Woman Wrongly Accused of Theft
    Madeleine Stone, senior advocacy officer at the civil liberties campaign group Big Brother Watch, said they had been contacted by more than 35 people who have complained of being wrongly placed on facial recognition watchlists "They're being wrongly flagged as criminals," Ms Stone said


















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