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Articles on Deepfakes
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Will we soon no longer be able to discern which videos are real and which are fake?
The new technology behind machine learning-enhanced fake videos has a crucial flaw: Computer-generated faces don’t blink as often as real people do.
People can now use artificial intelligence to swap the faces of actors in pornographic videos with those of people they know, raising fears about a new form of revenge porn.
Top contributors
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Professor of Global & Language Studies, RMIT University
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Director, Institute for AI and Data Science, Distinguished Professor, Computer Science and Engineering, University at Buffalo
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Professor of Law, Durham University
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Professor of Criminology, Monash University
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Professor of Computer Science, University of California, Berkeley
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Professor of Law, University of Melbourne; Chair of Private Law, Te Herenga Waka — Victoria University of Wellington
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Professor of Family and Sexual Violence, RMIT University
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Assistant Professor of Journalism and Emerging Media Studies, Boston University
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Research Scientist in Cybersecurity, Rochester Institute of Technology
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Professor and Chair of Cybersecurity, Rochester Institute of Technology
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Associate Professor, Educational Technology, Université Laval
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Adjunct Lecturer in Public Policy, Harvard Kennedy School; University of Toronto
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Senior Lecturer in Artificial Intelligence, Te Herenga Waka — Victoria University of Wellington
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Professor of Community Information, University of Michigan