{
  "id": 14446,
  "url": "https://arxiv.org/abs/2607.25405v1",
  "title": "Agentic AI Autonomy Assessment: A Decision-Support Framework Towards Governed Supply Chain Systems",
  "summary": "Supply chain decision-making is rapidly transforming with the rise of agentic AI - highly autonomous systems that can operate on complex, long-horizon tasks. Yet the adoption of agentic systems outpaces their governance: existing taxonomies of autonomy only offer discrete classifications, rely on subjective judgement, and cannot track autonomy across a system's life cycle, leaving enterprises unable to assess the risks of increasingly autonomous supply chain agents. This paper proposes the Agent",
  "authors": "Lennart Trumpler, Rodrigo Furlan de Assis, Elias Ribeiro da Silva, Luis Antonio de Santa-Eulalia, Christian Hendriksen",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-28T08:04:18.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14446",
  "original_url": "https://arxiv.org/abs/2607.25405v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}