{
  "id": 11730,
  "url": "https://arxiv.org/abs/2607.15704",
  "title": "The CRAFT principles for the responsible use of large language models in policymaking",
  "summary": "arXiv:2607.15704v1 Announce Type: new Abstract: Policymakers around the world face the question of how to use artificial intelligence in general, and large language models in particular, to improve the policymaking process. Used well, large language models can strengthen the collection, interpretation and synthesis of policy-relevant information and the drafting of policy-relevant output. Yet the use of large language models in policymaking is associated with risks. Output that is plausible but",
  "authors": "Willem Fourie, Gray Manicom, Tanya de Villiers-Botha",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-20T04:00:00.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/11730",
  "original_url": "https://arxiv.org/abs/2607.15704",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}