Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms

Since their emergence a few years ago, artificial intelligence (AI)-synthesized media—so-called deep fakes—have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornography, large-scale fraud, and disinformation campa...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2022-11, Vol.119 (48), p.1-3
Main Authors: Boháček, Matyáš, Farid, Hany
Format: Article
Language:English
Subjects:
Artificial Intelligence
BRIEF REPORTS
Deception
Elections
Fraud
Gestures
Physical Sciences
Pornography
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Summary:Since their emergence a few years ago, artificial intelligence (AI)-synthesized media—so-called deep fakes—have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornography, large-scale fraud, and disinformation campaigns. Of particular concern is how deep fakes will be weaponized against world leaders during election cycles or times of armed conflict. We describe an identity-based approach for protecting world leaders from deep-fake imposters. Trained on several hours of authentic video, this approach captures distinct facial, gestural, and vocal mannerisms that we show can distinguish a world leader from an impersonator or deep-fake imposter.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.2216035119