Although varied in their form and creation, deep fakes refer to AI-synthesized image, audio, or video. Deep fakes add to a long line of techniques for manipulating reality, but their introduction poses new risks because of the democratized access to what would have historically been the purview of Hollywood-style studios. In this talk, Farid will provide an overview of how deep fakes are created, how they are being used and misused, and if and how they can be perceptually and forensically distinguished from reality. 

Hany Farid is a Professor at the University of California, Berkeley with a joint appointment in the Department of Electrical Engineering and Computer Sciences and the School of Information. His research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. He is the recipient of an Alfred P. Sloan Fellowship and a John Simon Guggenheim Fellowship and is a Fellow of the National Academy of Inventors.

https://ihc.ucsb.edu/events/2022-23-public-events-series-too-much-information/

Sponsored by the IHC’s Too Much Information series and the IHC Idee Levitan Endowment

Too Much Information

Hany Farid | Creating, Weaponizing, and Detecting Deep Fakes

The IHC’s mission is to advance knowledge about human experience in cultural, historical, and social contexts and to do so through programs that foster human agency, social connectivity, and civic empowerment.

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Hany Farid | Creating, Weaponizing, and Detecting Deep Fakes

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