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  • Deepfakes are realistic videos created using new machine learning techniques rather than traditional photographic means. They tend to depict people saying and doing things that they did not actually say or do. In the news media and the blogosphere, the worry has been raised that, as a result of deepfakes, we are heading toward an “infopocalypse” where we cannot tell what is real from what is not. Several philosophers (e.g., Deborah Johnson, Luciano Floridi, Regina Rini) have now issued similar warnings. In this paper, I offer an analysis of why deepfakes are such a serious threat to knowledge. Utilizing the account of information carrying recently developed by Brian Skyrms (2010), I argue that deepfakes reduce the amount of information that videos carry to viewers. I conclude by drawing some implications of this analysis for addressing the epistemic threat of deepfakes.
subject
  • Deep learning
  • Identity theft
  • Artificial intelligence applications
  • Computer graphics
  • Words coined in the 2010s
  • Applications of computer vision
  • Special effects
  • People from Pasadena, California
  • Members of the Department of Computer Science, University of Oxford
  • University of California, Irvine faculty
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