2023
DOI: 10.1007/s11229-022-04033-x
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Deepfakes, Fake Barns, and Knowledge from Videos

Abstract: Recent develops in AI technology have led to increasingly sophisticated forms of video manipulation. One such form has been the advent of deepfakes. Deepfakes are AI-generated videos that typically depict people doing and saying things they never did. In this paper, I demonstrate that there is a close structural relationship between deepfakes and more traditional fake barn cases in epistemology. Specifically, I argue that deepfakes generate an analogous degree of epistemic risk to that which is found in tradit… Show more

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Cited by 6 publications
(2 citation statements)
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“…In the Table 1 (see Annex) we summarize the similarities and differences between fake videos and deepfakes (Sohrawardi et al, 2019;Shilma et al, 2023;Haseena et al, 2023;Matthews, 2023).…”
Section: Detecting Fake Videos and Deep Fakesmentioning
confidence: 99%
“…In the Table 1 (see Annex) we summarize the similarities and differences between fake videos and deepfakes (Sohrawardi et al, 2019;Shilma et al, 2023;Haseena et al, 2023;Matthews, 2023).…”
Section: Detecting Fake Videos and Deep Fakesmentioning
confidence: 99%
“…Drawing on the notion of informativity familiar from Skyrms [2010], Fallis [2021] argues that, in a deepfake-rich environment, videography actually carries less information. And Matthews [2023] argues that, in an environment rich with deepfakes, a veridical video is analogous to a real barn in Goldman's [1976] false barn country, so beliefs based on it are too lucky to count as knowledge. It seems, indeed, that the many strands of analytic epistemology converge at the conclusion that deepfakes degrade the role that videography will or should play in the formation of belief, generating what Habgood-Coote [2023] has recently termed the "Epistemic Apocalypse narrative" of deepfake technology.…”
mentioning
confidence: 99%