What question did this study set out to answer?

The paper aims to identify and address the Judgment Infrastructure Gap in AI governance by making judgment delegation observable and auditable.

January 22, 2026Open Access

The Judgment Infrastructure Gap: Making Judgment Delegation Observable and Auditable in AI-Mediated Decision Workflows

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This working paper identifies a governance gap in AI decision-making, suggesting a framework for transparency in judgment delegation.

The paper aims to identify and address the Judgment Infrastructure Gap in AI governance by making judgment delegation observable and auditable.
Defines judgment delegation as a distinct governance object.
Proposes an observer-facing middleware framework.
Introduces early-warning indicators for governance failures.
Establishes judgment delegation as a necessary aspect of governance.
Proposes new markers for monitoring and auditing judgment processes.
Argues for an infrastructure-level approach to AI risk management.

Sincere Ann Ma (2026) studied this question.

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