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Bias in Facial Recognition and Surveillance
Impacts on racialized groups, gender minorities, and privacy.
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SUMMARY - Bias in Facial Recognition and Surveillance

A landmark study reveals that facial recognition systems from major technology companies achieve near-perfect accuracy on light-skinned male faces while error rates for dark-skinned women reach 35 percent. A Black man in Detroit spends 30 hours in jail after facial recognition software misidentifies him as a shoplifting suspect, his face apparently interchangeable with another Black man's in the eyes of the algorithm.

Alberta
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pondadmin
Thu, 19 Feb 2026 - 06:32
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Alberta
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3 perspectives
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pondadmin
Thu, 19 Feb 2026 - 06:32
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