{
  "id": 7333,
  "url": "https://arxiv.org/abs/2603.11864v1",
  "title": "Social, Legal, Ethical, Empathetic and Cultural Norm Operationalisation for AI Agents",
  "summary": "As AI agents are increasingly used in high-stakes domains like healthcare and law enforcement, aligning their behaviour with social, legal, ethical, empathetic, and cultural (SLEEC) norms has become a critical engineering challenge. While international frameworks have established high-level normative principles for AI, a significant gap remains in translating these abstract principles into concrete, verifiable requirements. To address this gap, we propose a systematic SLEEC-norm operationalisati",
  "authors": "Radu Calinescu, Ana Cavalcanti, Marsha Chechik, Lina Marsso, Beverley Townsend",
  "category": "research",
  "topics": "regulation,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-12T12:37:39.000Z",
  "fetched_at": "2026-07-14T16:33:08.014Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7333",
  "original_url": "https://arxiv.org/abs/2603.11864v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}