{
  "id": 1202,
  "url": "https://arxiv.org/abs/2606.10747v1",
  "title": "The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment",
  "summary": "As AI systems built from multiple language-model agents become more common, they are increasingly used to make decisions together: discussing, negotiating, and acting on shared tasks. While individual agents may appear well-aligned when tested on their own, problems can arise from how they interact with one another. We introduce the Arbiter, an agent designed to monitor multi-agent conversations in real time and identify which participants may be behaving in misaligned ways. The Arbiter operates",
  "authors": "Filippo Tonini, Federico Torrielli, Anton Danholt Lautrup, Peter Schneider-Kamp, Mustafa Mert Çelikok, Lukas Galke Poech",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-09T11:57:02.000Z",
  "fetched_at": "2026-07-14T14:15:07.842Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1202",
  "original_url": "https://arxiv.org/abs/2606.10747v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}