"Violation of my body:" Perceptions of AI-generated non-consensual (intimate) imagery
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Abstract (arXiv)
AI technology has enabled the creation of deepfakes: hyper-realistic synthetic media. We surveyed 315 individuals in the U.S. on their views regarding the hypothetical non-consensual creation of deepfakes depicting them, including deepfakes portraying sexual acts. Respondents indicated strong opposition to creating and, even more so, sharing non-consensually created synthetic content, especially if that content depicts a sexual act. However, seeking out such content appeared more acceptable to some respondents. Attitudes around acceptability varied further based on the hypothetical creator's relationship to the participant, the respondent's gender and their attitudes towards sexual consent. This study provides initial insight into public perspectives of a growing threat and highlights the need for further research to inform social norms as well as ongoing policy conversations and technical developments in generative AI.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2024.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 3.
5 papers.
- 2024Analyzing the AI Nudification Application Ecosystemcited by 9
- 2025XAttnMark: Learning Robust Audio Watermarking with Cross-Attentioncited by 3
- 2026"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creatorscited by 3
- 2026What if AI systems weren't chatbots?cited by 2
- 2026Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communitiescited by 0
- 2026What if AI systems weren't chatbots?8 May 2026
- 2026Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities14 Apr 2026
- 2026"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators28 Jan 2026
- 2025XAttnMark: Learning Robust Audio Watermarking with Cross-Attention6 Feb 2025
- 2024Analyzing the AI Nudification Application Ecosystem14 Nov 2024