Governing Agentic AI: In Systems of Public Record — Governance Is the Accelerant
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Abstract
Agentic AI in systems of public record demands a threat model built for autonomous action, not just autonomous output. This paper sets out four governing principles, an autonomy ladder that scopes what an agent may do without human sign-off, and the control-plane architecture that makes governance the accelerant of safe agentic deployment rather than its brake. Part of the Sovereign Digital Resilience series.
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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-02
Authors: Sanjeet Kumar
Institutions: Wuhu Hit Robot Technology Research Institute