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Daily Dashboard | Researchers Warn of Trusting Data Too Much Related reading: US NTIA releases AI Accountability Policy Report

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Researchers at two technology-focused conferences in the U.S. last week warned of making "strong extrapolations about weak data," reports MIT's Technology Review. Alessandro Acquisti of Carnegie Mellon University explored the ability of facial recognition technology--combined with online profiles--to determine birth dates, Social Security numbers and more, correctly identifying about one-third of subjects. Acquisti expects the technology to improve and notes that being misidentified in a future where this information is trusted most of the time could have negative consequences. Other researchers are exploring the reliability of social data in determining personality traits, finding positive but weak correlations, according to the report.  
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