Many facial-recognition systems are biased, federal agency says in new study
The majority of commercial facial-recognition systems exhibit bias, according to a study from a federal agency released Thursday, underscoring questions about a technology increasingly used by police departments and federal agencies to identify suspected criminals.
The new report comes at a time of mounting concern from lawmakers and civil rights groups over the proliferation of facial recognition. Proponents view it as an important tool for catching criminals and tracking terrorists. Tech companies market it as a convenience that can be used to help identify people in photos or in lieu of a password to unlock smartphones.
The federal report is one of the largest studies of its kind. The researchers had access to more than 18 million photos of about 8.5 million people from American mug shots, visa applications and border-crossing databases. The federal report confirms earlier studies from MIT that reported that facial-recognition systems from some large tech companies had much lower accuracy rates in identifying the female and darker-skinned faces than the white male faces.
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