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Human-AI Calibration Failure High-Stakes Procedural Compliance

Year: 2026

Type: article

Abstract: This working paper documents a governance-level calibration failure observed in a high-stakes procedural compliance task involving a formal AI-governance submission. The case illustrates how an AI assistant can provide confident yet non-compliant procedural shortcuts in a formally constrained environment, and how successful completion depended on human judgement enforcing external verification and artefact-level checks. The paper is vendor- and model-agnostic, advancing a method-first framing in which the primary analytic unit is the interaction trace rather than model attribution.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18227628

Author: Ma, Sincere Ann

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7123814738

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