43 Machine-Checkable EU AI Act Criteria That Run in CI and Emit Article-Indexed Evidence
arXiv 2609.20016 (submitted 17 Sep 2026) argues Articles 8-15 of EU AI Act Regulation 2024/1689 were drafted for predictive AI and leave seven technical gaps for generative systems, spanning non-deterministic data governance, training-data provenance, continuous conformity, human oversight, open-ended robustness, emergent risk and generative fairness. Governance-as-Code supplies 43 machine-checkable acceptance criteria across six compliance modules that run in a CI/CD pipeline and emit Article-indexed audit evidence, with the actual Rego policy code published rather than described. The central move is turning open-textured standards such as appropriate levels and possible biases into declared, auditable numbers derived from the provider's own baselines.
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