{
  "id": 1226,
  "url": "https://arxiv.org/abs/2607.05407v1",
  "title": "Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety",
  "summary": "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 lega",
  "authors": "Neil Kale, Rebecca Portnoff, Pratiksha Thaker, Michael Simpson, Robertson Wang, Kevin Kuo et al.",
  "category": "research",
  "topics": "safety-alignment,children-education,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-09T03:22:53.000Z",
  "fetched_at": "2026-07-14T14:15:07.844Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1226",
  "original_url": "https://arxiv.org/abs/2607.05407v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}