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Daily Dashboard | Facial-recognition study highlights privacy impact Related reading: Unlocking global data privacy interoperability with CBPRs

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A study of facial-recognition data looks at its impact on privacy, MIT Technology Review reports. The study, which reviewed 130 facial-recognition data sets created over 43 years, found researchers gradually stopped asking for individuals' consent, which led to "messier data sets" and personal photos incorporated into surveillance systems. “It’s so much more dangerous,” said Co-author and Mozilla Fellow Deborah Raji. “The data requirement forces you to collect incredibly sensitive information about, at minimum, tens of thousands of people. It forces you to violate their privacy.”  
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