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Villasenor on ‘Deepfakes’ and the Uncertainty of Truth

Public Policy Professor John Villasenor wrote a piece for the Brookings Institution on “deepfakes” and the uncertainty of truth as a result. Villasenor defined deepfakes as intentionally manipulated videos that make a person appear to say or do something they, in fact, did not. He suggested three strategies to address this issue: deepfake detection technology, legal and legislative remedies, and an increase in public awareness. Artificial intelligence would detect image inconsistencies due to video manipulation, he said, adding that legal and legislative actions must strike a balance to protect people from deepfakes without overstepping. He said viewers can combat deepfakes by refusing to believe questionable videos are real. “That knowledge won’t stop deepfakes, but it can certainly help blunt their impact,” he said. Villasenor is currently a nonresident senior fellow in Governance Studies and the Center for Technology Innovation at the Brookings Institution.


 

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