GAO witness at Senate hearing on accountability within Law Enforcement for AI applications
Senate Judiciary Subcommittee on Criminal Justice and Counterterrorism Member Alex Padilla and Government Accountability Office Science and Technology Director Karen Howard discuss a GAO report which revealed lack of training for federal law enforcement agents, including the FBI and DEA, in protecting civil liberties when using facial recognition software, particularly concerning due to its demonstrated bias against black and brown individuals, lacking information on steps taken to address this issue, the importance of testing and verifying the accuracy and demographic bias of facial recognition algorithms, proposing that algorithms used for federal law enforcement purposes should be tested by independent third parties like NIST for accountability, the possibility of errors in both human and algorithmic analyses, and the need for accountability measures even when using advanced tools.





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Editorial Use only. May not be used as partisan political campaign material to promote or oppose the candidacy of any person for elective public office, and may not be used to distort the objects and purposes of the hearing or cast discredit or dishonor any member of the House or bring the House or any Member into disrepute. Contact your local office for all commercial or promotional uses.
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Editorial #:
1964952003
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FedNet
Date created:
January 24, 2024
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00:01:30:23
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Washington, DC, United States
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MPEG-4 8-bit H.264 HD 1920x1080 29.97p
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FedNet
Object name:
sju012424i
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