{
  "id": 18720,
  "url": "https://arxiv.org/abs/2608.12104",
  "title": "No One to Blame: A Framework of Constitutive AI Unaccountability",
  "summary": "arXiv:2608.12104v1 Announce Type: new Abstract: The increasing deployment of autonomous, agentic AI systems challenges traditional accountability mechanisms. Existing research predominantly frames AI accountability gaps as barriers that can be overcome through better standards, transparency, and institutional reform. We argue that this framing is insufficient: certain configurations of actors, systems, and institutions render AI accountability conceptually unachievable regardless of effort. We i",
  "authors": "Long Hoang Nguyen, Eva Sp\\\"athe, Sebastian Lins, Ali Sunyaev",
  "category": "research",
  "topics": "agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T04:00:00.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "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/18720",
  "original_url": "https://arxiv.org/abs/2608.12104",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}