{
  "id": 3911,
  "url": "https://arxiv.org/abs/2605.22720v1",
  "title": "Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts",
  "summary": "AI models are already deployed in societies affected by armed conflict, and journalists, humanitarian workers, governments and ordinary citizens rely on them for information or for their work processes. No established practice exists for checking whether their outputs can make those conflicts worse. We tested nine model configurations from four providers (OpenAI, Anthropic, DeepSeek, xAI) on 90 multi-turn scenarios designed to surface misaligned behaviour in conflict contexts: false equivalence ",
  "authors": "Andrii Kryshtal",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": "openai,anthropic,xai,deepseek",
  "regions": null,
  "published_at": "2026-05-21T16:55:39.000Z",
  "fetched_at": "2026-07-14T16:30:36.742Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3911",
  "original_url": "https://arxiv.org/abs/2605.22720v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}