Position Paper: Deepfake Research Overlooks AI-Generated Non-Consensual Intimate Imagery (AIG-NCII)
A new position paper argues that most AI/ML deepfake research is misaligned with the primary real-world abuse of generative AI: the creation of non-consensual sexualized imagery. Through a landscape analysis of highly-cited works, the authors show that technical interventions overwhelmingly focus on epistemic harms like fraud, while largely ignoring subject-centric dignity harms such as AIG-NCII. The paper recommends updating threat models and integrating AIG-NCII into AI safety research, and urges researchers to adopt safety guardrails and collaborate with sexual violence prevention experts.
Why it matters: This paper identifies a significant oversight in AI safety research, calling for greater attention to the most prevalent and harmful uses of generative AI.
Full story at: arXiv AI/ML ↗