{
  "id": 16281,
  "url": "https://arxiv.org/abs/2608.03581v1",
  "title": "AI-Assisted Peer Review Across Research Communities: From Reviewer AI Policies to LLM Review Quality",
  "summary": "AI-assisted peer review is increasingly discussed and adopted as a tool to support the scientific publishing process, yet there is little systematic understanding of how publication venues regulate its use or of how capable current AI review systems are. We address these questions by first surveying reviewer-facing AI policies across 111 leading AI/NLP conferences and medical journals, revealing substantial regulation differences between the two communities. Second, we evaluate AI-generated peer",
  "authors": "Alexander M. Fichtl, Lukas Ellinger, Josefin Kelber, Kryštof Olík, Georg Groh",
  "category": "research",
  "topics": "regulation,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T12:34:47.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/16281",
  "original_url": "https://arxiv.org/abs/2608.03581v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}