Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
Modern artificial intelligence (AI) systems present profound new risks to child safety. AI is increasingly being misused to create AI-generated child sexual abuse material, facilitate child sexual exploitation, and reduce barriers to harm. In this paper, we argue that protecting children from AI-facilitated sexual abuse requires new approaches to AI safety. Existing safety techniques assume data accessibility, transparency, and evaluation practices that are incompatible with the ethical and legal constraints surrounding child sexual abuse material. We examine how these constraints create new technical challenges, such as limitations on dataset auditing, red teaming, and fine-tuning preven...
| Authors | Neil Kale, Rebecca Portnoff, Pratiksha Thaker et al. |
|---|---|
| Primary category | cs.CY |
| Published | 9 June 2026 |
| Last updated at source | 9 June 2026 |
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