{
  "id": 17757,
  "url": "https://arxiv.org/abs/2608.06831",
  "title": "\"Death by a thousand taxonomies?\": AI Risk Classification In Practice",
  "summary": "arXiv:2608.06831v1 Announce Type: new Abstract: The harms in which AI is implicated range in nature and scope from unsafe user interactions through to the societal-wide consequences of AI adoption. Classification of the diverse risks of AI is foundational to AI governance: regulators, technology firms, and policymakers need structured accounts of risk upon which to act. Researchers and practitioners have accordingly developed many Sociotechnical Outcome Taxonomies (SOT). This paper presents an e",
  "authors": "Glen Berman, Ned Cooper, Angel Hsing-Chi Hwang, Wesley Hanwen Deng, Renee Shelby, Ben Hutchinson",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "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/17757",
  "original_url": "https://arxiv.org/abs/2608.06831",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}