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AI deepfake research misaligned with harms of non-consensual intimate imagery

A new position paper argues that current AI/ML research on deepfakes is misaligned with the prevalent issue of AI-generated non-consensual intimate imagery (AIG-NCII). The paper highlights that existing research primarily focuses on epistemic harms, such as authenticity and fraud, rather than the dignity harms experienced by subjects of AIG-NCII. It suggests that technical interventions often overlook the subject-centric nature of these harms, and that knowing an image is synthetic does not alleviate the damage to individuals. The authors recommend realigning AI safety research to include subject-centric threat models and establish partnerships with experts in sexual violence prevention. AI

IMPACT Current AI safety research on deepfakes needs to shift focus to address the harms of AI-generated non-consensual intimate imagery.

RANK_REASON Academic paper discussing AI safety and ethical concerns. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI deepfake research misaligned with harms of non-consensual intimate imagery

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Li Qiwei, Wells Lucas Santo, Sarita Schoenebeck, Eric Gilbert ·

    Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII)

    arXiv:2607.18263v1 Announce Type: new Abstract: AI-generated non-consensual intimate imagery (AIG-NCII) is not adequately addressed in AI/ML literature regarding AI-generated media, commonly referred to as "deepfakes". While research on deepfakes currently focuses on its epistemi…