Why probability becomes a governance diagnostic, not a prediction For many enterprises, the EU AI Act still feels like a future problem. The debate is framed around internal AI systems, model development, and hypothetical harms that will materialize once enforcement begins in earnest. That framing misses a more immediate exposure. A compliance gap is already emerging that does not depend on whether an organization builds, deploys, or even authorizes AI systems at all. It arises when external AI reasoning about the organization enters regulated decision pathways without an evidentiary control. When that happens, compliance does not fail because the AI is inaccurate. It fails because the organization cannot reconstruct what was relied upon. This article introduces a probability-based diagnostic framework designed to surface that exposure early, before Articles 12 and 61 are tested in enforcement, supervision, or litigation.
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Timothy de Rosen
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Timothy de Rosen (Fri,) studied this question.
www.synapsesocial.com/papers/6975b306feba4585c2d6e8ba — DOI: https://doi.org/10.5281/zenodo.18346150