Governance Failure Prior to Identifiable Risk under AI-Mediated Judgment Formation

Contemporary AI governance frameworks focus predominantly on identifiable risks arising from model outputs, system capabilities, or post-hoc harms. This paper identifies a distinct and upstream failure mode: governance breakdown occurring prior to identifiable risk, at the level of AI-mediated judgment formation. When probabilistic language systems participate in shaping human interpretation, confidence, framing, and relevance—without being recognised as a causal substrate—risk is displaced rather than detected. This paper situates this failure within established scientific and sociotechnical literature, demonstrating that the phenomenon is neither speculative nor ethical, but a structural misclassification arising from the interaction between human judgment, institutional procedures, and AI-mediated language systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-04
DOI
https://doi.org/10.5281/zenodo.18488909
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Governance Failure Prior to Identifiable Risk under AI-Mediated Judgment Formation

Victoria Gavaza
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Governance Failure Prior to Identifiable Risk under AI-Mediated Judgment Formation

Victoria Gavaza
article en

Abstract

Contemporary AI governance frameworks focus predominantly on identifiable risks arising from model outputs, system capabilities, or post-hoc harms. This paper identifies a distinct and upstream failure mode: governance breakdown occurring prior to identifiable risk, at the level of AI-mediated judgment formation. When probabilistic language systems participate in shaping human interpretation, confidence, framing, and relevance—without being recognised as a causal substrate—risk is displaced rather than detected. This paper situates this failure within established scientific and sociotechnical literature, demonstrating that the phenomenon is neither speculative nor ethical, but a structural misclassification arising from the interaction between human judgment, institutional procedures, and AI-mediated language systems.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Ethics and Social Impacts of AI
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