{
  "id": 3166023,
  "title": "Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty",
  "url": "https://urgent.news/2026/08/24/mitigating-reasoning-induced-misalignment-via-safety-direction-penalty",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T16:57:28.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.23497v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reasoning-Induced Misalignment, where fine-tuning on reasoning data containing no harmful content, including mathematics, code, and problem-solving with chain-of-thought traces can induce harmful behaviors of LLM, posing a serious challenge to the safety of LLM reasoning. Cross-architecture, cross-scale, and cross-dataset checks show that RIM does not always emerge. Previous work attributed RIM…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}