{
  "id": 1317,
  "url": "https://arxiv.org/abs/2606.08310v1",
  "title": "To Nuke or Not to Nuke: LLMs' (Missing) Ethical Reasoning and Actions in a High-Stakes Decision-Making Simulation",
  "summary": "Large language models (LLMs) are increasingly deployed as long-horizon agents with decision-making capacities. While LLMs can show ethical competence on dilemmas such as trolley problems, this competence may not translate to complex, agentic scenarios. We study this gap in Civilization V, a multiplayer game with a complex decision-making landscape including economy, diplomacy, technology, and military strategy. Starting from 130 high-tension LLM self-play episodes, in which an LLM player spontan",
  "authors": "John Chen, Sihan Cheng, Can Gurkan, H M Abdul Fattah",
  "category": "research",
  "topics": "jobs-economy,military-security,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-06T19:43:53.000Z",
  "fetched_at": "2026-07-14T14:15:12.455Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1317",
  "original_url": "https://arxiv.org/abs/2606.08310v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}