Philosophers' Imprint 20 (24):1-16 (2020)

Authors
Regina Rini
York University
Abstract
Deepfake technology uses machine learning to fabricate video and audio recordings that represent people doing and saying things they've never done. In coming years, malicious actors will likely use this technology in attempts to manipulate public discourse. This paper prepares for that danger by explicating the unappreciated way in which recordings have so far provided an epistemic backstop to our testimonial practices. Our reasonable trust in the testimony of others depends, to a surprising extent, on the regulative effects of the ever-present possibility of recordings of the events they testify about. As deepfakes erode the epistemic value of recordings, we may then face an even more consequential challenge to the reliability of our testimonial practices themselves.
Keywords deepfakes  social epistemology  testimony  epistemology of images  machine learning
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Citations of this work BETA

The Epistemic Threat of Deepfakes.Don Fallis - forthcoming - Philosophy and Technology:1-21.
Privacy rights and ‘naked’ statistical evidence.Lauritz Aastrup Munch - 2021 - Philosophical Studies 178 (11):3777-3795.
The Distinct Wrong of Deepfakes.Adrienne de Ruiter - forthcoming - Philosophy and Technology:1-22.

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