Conceptual framework proposes governance solutions to enhance accountability in public sector decisions with AI support.
This manuscript introduces the Judgment-Centered AI Governance (JCAG) framework, a conceptual approach for preserving human moral agency, accountability, and responsible decision-making in public sector algorithmic systems. The paper examines governance challenges arising from increasing reliance on automated decision-making in public administration and proposes a framework for maintaining meaningful human responsibility in AI-assisted policy environments. The full manuscript is currently under peer review and access to the file is restricted.
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Yodit Ayalew (2026) studied this question.
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