Deepfakes and the Epistemic Backstop

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

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Regina Rini
York University

Citations of this work

The Epistemic Threat of Deepfakes.Don Fallis - 2020 - Philosophy and Technology 34 (4):623-643.
Deepfakes, Deep Harms.Regina Rini & Leah Cohen - 2022 - Journal of Ethics and Social Philosophy 22 (2).
Privacy rights and ‘naked’ statistical evidence.Lauritz Aastrup Munch - 2021 - Philosophical Studies 178 (11):3777-3795.
The Distinct Wrong of Deepfakes.Adrienne de Ruiter - 2021 - Philosophy and Technology 34 (4):1311-1332.

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