{
  "id": 6174,
  "url": "https://arxiv.org/abs/2604.07546v1",
  "title": "Agentic Copyright, Data Scraping & AI Governance: Toward a Coasean Bargain in the Era of Artificial Intelligence",
  "summary": "This paper examines how the rapid deployment of multi-agentic AI systems is reshaping the foundations of copyright law and creative markets. It argues that existing copyright frameworks are ill-equipped to govern AI agent-mediated interactions that occur at scale, speed, and with limited human oversight. The paper introduces the concept of agentic copyright, a model in which AI agents act on behalf of creators and users to negotiate access, attribution, and compensation for copyrighted works. Wh",
  "authors": "Paulius Jurcys, Mark Fenwick",
  "category": "research",
  "topics": "regulation,copyright-ip,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-08T19:43:28.000Z",
  "fetched_at": "2026-07-14T16:32:20.053Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6174",
  "original_url": "https://arxiv.org/abs/2604.07546v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}