Agentic AI Autonomy Assessment: A Decision-Support Framework Towards Governed Supply Chain Systems
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
Record details
Published: 28 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 29 July 2026
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ethics.ai (28 July 2026), “Agentic AI Autonomy Assessment: A Decision-Support Framework Towards Governed Supply Chain Systems,” evidence record 14446, https://ethics.ai/record/14446 (originally published by arXiv cs.HC).
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