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This paper aims to explore a system-level framework for understanding AI governance through a concept called Judgment Infrastructure.

January 22, 2026Open Access

Judgment Infrastructure in a System City: Reframing AI Governance Through Responsibility Flow

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This paper aims to explore a system-level framework for understanding AI governance through a concept called Judgment Infrastructure.
Introduced the concept of Judgment Infrastructure as a framework for analyzing AI governance.
Examined how various socio-technical domains relate to each other in a System City model.
Identified systemic risks associated with interdependent decision-making processes.
Highlighted failures in AI decision-making as systemic issues rather than isolated model failures.
Introduced the concept of contestation windows as a governance principle to allow human review.
Described structural risks such as judgment surrender and decision drift within AI governance frameworks.

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Working paper analyzes AI governance outcomes in interconnected environments, suggesting new design principles for responsibility flow.

Sincere Ann Ma (2026) studied this question.

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