{
  "id": 17702,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03224-1",
  "title": "Layered agency as a basis for allocating accountability for AI",
  "summary": "The increasing use of artificial intelligence-driven systems (AI) in organizations challenges the traditional concept of agency in organization theory as well as the traditional allocations of accountability. Recognizing that these issues are closely related, and drawing from several different conceptualizations of agency across disciplines, this paper develops a layered framework of agency in the context of AI. The framework distinguishes three analytically separable but interacting layers. The",
  "authors": null,
  "category": "research",
  "topics": "transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-08T00:00:00.000Z",
  "fetched_at": "2026-08-09T05:10:05.170Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/17702",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03224-1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}