Judgment Governance Failure Modes —— 基于CESI–IFRG–IWJL 的判断治理失败物理学

Abstract This paper constitutes the fourth installment of the CESI Judgment Governance Series, extending prior analyses of attention erosion, governance misframing, and judgment-centric design principles into a systematic failure-mode typology. While existing AI governance research predominantly attributes governance failure to ethical lapses, regulatory insufficiency, or execution gaps, this paper advances a different thesis:judgment governance fails not by deviation, but by structural necessity. Grounded in the CESI (Co-Evolutionary Science of Intelligence) framework, and operationalized through IFRG (Irreversibility-First Risk Governance) and IWJL (Irreversibility-Weighted Judgment Loop), this study identifies and formalizes six recurring Judgment Governance Failure Modes across attention allocation, judgment-loop configuration, and authority distribution. These failure modes explain why governance systems that appear procedurally sound and ethically compliant may nonetheless accelerate judgment erosion, institutionalize non-value-generating deliberation, and lock human judgment out of high-irreversibility decision points. Rather than serving as post hoc blame mechanisms, the failure modes proposed herein function as diagnostic and predictive instruments, enabling early detection of judgment degradation before irreversible system commitments occur.