{
  "id": 10542,
  "url": "https://arxiv.org/abs/2607.13082",
  "title": "Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with Disinformation",
  "summary": "arXiv:2607.13082v1 Announce Type: cross Abstract: Watermarking is often presented as a straightforward solution for distinguishing AI-generated from human-generated content, enabling platforms and regulators to trace synthetic content and detect AI-generated outputs at scale. This paper examines whether such mechanisms meaningfully address the epistemic and ethical challenges that arise in domains where the central concern is not the automation of content production, but the accuracy, intent, an",
  "authors": "Federico Germani, Giovanni Spitale",
  "category": "research",
  "topics": "regulation,jobs-economy,misinformation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-16T04:00:00.000Z",
  "fetched_at": "2026-07-16T05:10:56.605Z",
  "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/10542",
  "original_url": "https://arxiv.org/abs/2607.13082",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}