{
  "id": 11077221,
  "title": "MASCRDM: Multi-Agent System for Compliance Risk Detection and Mitigation in Training Process of Large Language Models",
  "url": "https://urgent.news/2026/09/30/mascrdm-multi-agent-system-for-compliance-risk-detection-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-30T06:47:05.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.39107v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large Language Models (LLMs) have been applied in various fields. However, ensuring compliance and safety of LLMs, such as avoiding discrimination and bias, still remains a challenge. Current efforts mainly focus on detecting and filtering inputs and outputs of the trained models, rather than studying the intrinsic architecture of the models in real-time. To tackle this challenge, we analyze the…",
  "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."
}