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This has given rise to Deepfake Pornography, an emerging phenomenon in which Deep Learning algorithms are used to superimpose a person\u2019s 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 <jats:italic>pervert\u2019s dilemma<\/jats:italic>. 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 <jats:italic>some<\/jats:italic> 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.<\/jats:p>","DOI":"10.1007\/s10676-019-09522-1","type":"journal-article","created":{"date-parts":[[2019,11,19]],"date-time":"2019-11-19T14:03:47Z","timestamp":1574172227000},"page":"133-140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":97,"title":["Introducing the pervert\u2019s dilemma: a contribution to the critique of Deepfake Pornography"],"prefix":"10.1007","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8887-5324","authenticated-orcid":false,"given":"Carl","family":"\u00d6hman","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,19]]},"reference":[{"key":"9522_CR1","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s10676-015-9381-x","volume":"17","author":"R Ali","year":"2015","unstructured":"Ali, R. 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