Ethics and Information Technology 22 (2):133-140 (2020)

Recent technological innovation has made video doctoring increasingly accessible. This has given rise to Deepfake Pornography, an emerging phenomenon in which Deep Learning algorithms are used to superimpose a person’s face onto a pornographic video. Although to most people, Deepfake Pornography is intuitively unethical, it seems difficult to justify this intuition without simultaneously condemning other actions that we do not ordinarily find morally objectionable, such as sexual fantasies. In the present article, I refer to this contradiction as the pervert’s dilemma. I propose that the method of Levels of Abstraction, a philosophical mode of enquiry inspired by Formal Methods in computer science, can be employed to formulate at least one possible solution to the dilemma. From this perspective, the permissibility of some actions appears to depend on the degree to which they are abstracted from their natural context. I conclude that the dilemma can only be solved when considered at low levels of abstractions, when Deepfakes are situated in the macro-context of gender inequality.
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DOI 10.1007/s10676-019-09522-1
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References found in this work BETA

After Virtue: A Study in Moral Theory.Alasdair C. MacIntyre - 1983 - University of Notre Dame Press.
The Philosophy of Information.Luciano Floridi - 2011 - Oxford, England: Oxford University Press.
The Ethics of Information.Luciano Floridi - 2013 - Oxford, England: Oxford University Press UK.
After Virtue: A Study in Moral Theory.Samuel Scheffler - 1983 - Philosophical Review 92 (3):443.
The Philosophy of Information.Luciano Floridi - 2010 - The Philosophers' Magazine 50:42-43.

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Citations of this work BETA

The Distinct Wrong of Deepfakes.Adrienne de Ruiter - 2021 - Philosophy and Technology 34 (4):1311-1332.

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