{"id":93228,"date":"2019-09-05T09:48:57","date_gmt":"2019-09-05T14:48:57","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/2019\/09\/05\/more-than-half-of-u-s-adults-trust-law-enforcement-to-use-facial-recognition-responsibly\/"},"modified":"2024-04-14T04:18:24","modified_gmt":"2024-04-14T09:18:24","slug":"more-than-half-of-u-s-adults-trust-law-enforcement-to-use-facial-recognition-responsibly","status":"publish","type":"post","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2019\/09\/05\/more-than-half-of-u-s-adults-trust-law-enforcement-to-use-facial-recognition-responsibly\/","title":{"rendered":"More Than Half of U.S. Adults Trust Law Enforcement to Use Facial Recognition Responsibly"},"content":{"rendered":"
\"Vast<\/a><\/p>\n

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A facial recognition system designed for law enforcement use. (Saul Loeb\/AFP\/Getty Images)<\/figcaption><\/figure><\/figure>\n\n
\"Majority<\/a><\/figure>\n\n

The ability of governments and law enforcement agencies to monitor the public using facial recognition was once the province of dystopian science fiction. But modern technology is increasingly bringing versions of these scenarios to life. A recent investigation<\/a> found that U.S. law enforcement agencies are using state Department of Motor Vehicles records to identify individual Americans without their consent, including those with no criminal record. And countries such as China<\/a> have made facial recognition technology a cornerstone of their strategies to police the behaviors and activities of their publics.<\/p>\n\n

Despite these high-profile examples from fiction and reality, a new Pew Research Center survey finds that a majority of Americans (56%) trust law enforcement agencies to use these technologies responsibly. A similar share of the public (59%) says it is acceptable for law enforcement to use facial recognition tools to assess security threats in public spaces.<\/p>\n\n

About our machine vision research<\/h4>

The Center has used a process similar to facial recognition known as machine vision to conduct research on gender representations in online search results<\/a> and news stories<\/a> on social media (our machine vision model could estimate whether an image showed a man or a woman, but was not able to identify individual people).<\/p>

This report on facial recognition is part of a broader examination of social and technical issues relating to machine vision and facial recognition technologies. The other two products in this series are:<\/p>