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Execution‑Time Authority in AI‑Enabled Administration: A Structural Model for Public Decision Systems

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  • McGuinness, Michael

Abstract

Public administrations increasingly deploy AI‑enabled systems to execute statutory functions. Yet existing regulatory frameworks lack conceptual tools to identify where public authority is exercised within these systems. This paper develops a unified governance architecture that traces how authority originates in legislated purpose, becomes actionable through delegation, and is operationalised through embedded decision structures.

Suggested Citation

  • McGuinness, Michael, 2026. "Execution‑Time Authority in AI‑Enabled Administration: A Structural Model for Public Decision Systems," SocArXiv ebkum_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:ebkum_v1
    DOI: 10.31219/osf.io/ebkum_v1
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