{
  "id": 11738,
  "url": "https://arxiv.org/abs/2607.16010",
  "title": "AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation",
  "summary": "arXiv:2607.16010v1 Announce Type: cross Abstract: Governments are increasingly mandating that LLM-generated content carry watermarks. The EU AI Act calls for markings that are \"sufficiently reliable and robust.\" California's SB 942 requires disclosure that is \"permanent or extraordinarily difficult to remove.\" Both mandates rest on an untested assumption: that watermark detection yields evidence reliable enough for courts. This paper tests that assumption directly. We evaluate three representati",
  "authors": "Saifur Rahman Tamim, Amir Labib Khan",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": "us,eu",
  "published_at": "2026-07-20T04:00:00.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "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/11738",
  "original_url": "https://arxiv.org/abs/2607.16010",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}