{
  "id": 170,
  "url": "https://arxiv.org/abs/2607.09766v1",
  "title": "Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems",
  "summary": "AI agents are increasingly deployed in shared environments where they pursue diverse goals and compete for rewards. This multi-agent competition can lead to behaviors that serve individual gains at collective cost -- for instance, marketing agents may post misleading content as a result of competing for engagement on social media. Human societies address such problems through norms that constrain acceptable behavior, supported by enforcement mechanisms that detect and penalize violations. Motiva",
  "authors": "Yaowen Ye, Jacob Steinhardt",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-07T06:40:14.000Z",
  "fetched_at": "2026-07-14T14:14:19.970Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/170",
  "original_url": "https://arxiv.org/abs/2607.09766v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}