A Black Box for Agentic Processes: Blockchain-Anchored Evidence for AI Agent Communication, Human Oversight, and GRC Audits
Proposes blockchain-anchored audit trails for autonomous AI agent workflows — directly relevant as EU AI Act traceability requirements near enforcement.
Summary written by editorial AI · Source link below
arXiv:2609.04017v1 Announce Type: new Abstract: Autonomous AI agents increasingly communicate with other agents, invoke tools, exchange intermediate results, and request human approvals. These workflows create a new auditability problem: organizations must reconstruct what happened, when it happened, which agent or human was involved, which control or policy applied, and whether records were modified afterwards. Motivated by the 2026 OpenAI/Hugging Face incident, this position and architecture
Editorial Analysis
As enterprises deploy agentic AI, the inability to reconstruct agent decisions creates liability exposure under the EU AI Act's transparency and human-oversight mandates.
Pilot immutable logging for all agentic AI workflows and validate alignment with EU AI Act traceability requirements.
Autonomous AI agents acting without auditable evidence chains expose the organisation to regulatory liability under the EU AI Act.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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