{
  "id": 17759,
  "url": "https://arxiv.org/abs/2608.07337",
  "title": "From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight",
  "summary": "arXiv:2608.07337v1 Announce Type: new Abstract: The arrival of generative AI as a cheap, widely accessible commercial service, and the tidal wave of AI-generated synthetic content it has unleashed, have provoked deep epistemic and social anxieties and raised difficult governance questions that policymakers are struggling to address. One approach that has attracted both enthusiasm from regulators and skepticism from researchers is digital watermarking. Signals embedded in a synthetically-generate",
  "authors": "Daniel Susser, John Thickstun, Gili Vidan",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17759",
  "original_url": "https://arxiv.org/abs/2608.07337",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}