{
  "id": 19037,
  "url": "https://arxiv.org/abs/2608.12104v1",
  "title": "No One to Blame: A Framework of Constitutive AI Unaccountability",
  "summary": "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 introduce the concept of constitutive AI unaccoun",
  "authors": "Long Hoang Nguyen, Eva Späthe, Sebastian Lins, Ali Sunyaev",
  "category": "research",
  "topics": "agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T14:25:05.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19037",
  "original_url": "https://arxiv.org/abs/2608.12104v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}