ABSTRACT
Deepfakes are synthetic audiovisual content generated by machine learning that can be used to simulate highly convincing representations of real people doing and saying things they have not done or said, consequently creating both private and public harms. Deepfakes are one tool among many to generate and spread online misinformation, and, especially when they depict prominent and widely recognizable people, can erode trust in political and cultural institutions. At the same time, deepfakes of individuals who are not public figures can cause serious damage to the autonomy, dignity, and integrity of those falsely depicted, with significant repercussions for their personal and professional reputations. These deepfake injuries to non-famous people may be expected to increase as the software to create deepfakes becomes more mainstream, more affordable, and produces more realistic results …
Judge, Elizabeth F and Korhani, Amir M, Deepfakes, Counterfeits, and Personality (July 26, 2021), volume 59 Alberta Law Review (forthcoming).
First posted 2021-08-18 08:00:22
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