Examines governance coherence in AI, focusing on agency and accountability in public sector design.
Prompted by recent commentary from Australia's Digital Transformation Agency (DTA) on shifting public sector roles toward systems thinking and problem decomposition, this paper examines the structural implications of embedding reasoning engines across institutional workflows. Extending beyond workforce analytics, the essay argues that this transition introduces the risk of "procedural absolution," the institutional tendency to treat automated outputs as authoritative in order to diffuse responsibility. Utilizing the Governance Coherence Framework (GCF) and the principle of Epistemic Humility, the author argues that meaningful human agency is not an individual psychological trait but an architectural outcome that must be preserved collectively through institutional design, not individual resolve. The paper details a two-tier control architecture: fast-loop operational execution and slow-loop governance stewardship. From this framework follow three governance commitments: (1) institutionalizing accountability friction through relational mechanisms that make responsibility traceable to named individuals, (2) replacing procedural compliance with coherent stewardship that empowers challenge to algorithmic outputs, and (3) embedding iterative, adaptive correction into governance design through mechanisms of revision and reversibility.
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Chris Choi (2026) studied this question.
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