What question did this study set out to answer?

The central aim is to develop a framework for auditing judgment delegation within AI systems to enhance accountability.

January 22, 2026Open Access

The Judgment Infrastructure Gap Making Judgment Delegation Observable and Auditable in Agentic AI Systems

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Working paper presents a governance framework for auditing judgment delegation in AI systems, suggesting improved accountability.

The central aim is to develop a framework for auditing judgment delegation within AI systems to enhance accountability.
Introduced a governance-level framework for system-wide AI auditing.
Specified judgment delegation events and structural risk zones.
Outlined minimal auditability requirements for accountability.
Identified key areas where judgment and responsibility shift across AI and human nodes.
Defined structural risk zones impacting decision-making responsibility.
Proposed a model for auditability without needing access to proprietary AI models.

Sincere Ann Ma (2026) studied this question.

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