Deepfake Ethics
Deepfake Ethics is a normative framework within digital communication ethics that specifically governs the creation, dissemination, and use of synthetic media generated by artificial intelligence, distinguishing itself by addressing the ethical implications of hyper-realistic, deceptive, or manipulative representations of individuals without their consent.
37
Publications
3K
Citations
95
Authors
64
Institutions
Publications per year
2017–2026
37
Parents
37
Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective
Mousa Al-kfairy, Dheya Mustafa, Nir Kshetri et al. · Informatics · 2024 · 239 citations · Full text
The Distinct Wrong of Deepfakes
Adrienne de Ruiter · Philosophy & Technology · 2021 · 159 citations · Full text
1–5 of 37
95
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Nanjing University of Science and Technology, China
2 publications · 112 citations
2
h-index
1–5 of 95
64
King's College London
London, United Kingdom
2 h-index
3 publications
352 citations

University of Victoria
Victoria, Canada
2 h-index
3 publications
352 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
168 citations
University of South Carolina
Columbia, United States
1 h-index
1 publications
147 citations
Université de Lille
Lille, France
1 h-index
2 publications
30 citations
California University of Pennsylvania
California, United States
1 h-index
1 publications
71 citations
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
Besançon, France
1 h-index
1 publications
15 citations

University of San Diego
San Diego, United States
1 h-index
2 publications
250 citations
1–8 of 64
2 publications · 113 citations
2
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2 publications · 147 citations
2
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1 publications · 18 citations
1
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Repository · 1 publications · 14 citations
1
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JIPLP · 1 publications · 179 citations
1
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1–5