Diagnose: AI Governance Gaps Nobody Is Measuring
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About this listen
Episode 02 is the DIAGNOSE stage of the Into the Void launch arc. Mark Vanis names three gaps most AI governance programs don't measure, explains why they turn working programs into failed audits, and introduces the Governance Spine as the structural map for the rest of the series.
In this episode:
- Why policy is not evidence, framework is not population, and a committee is not exception documentation - Gap 1 — Population integrity: whether the list of things you claim to be measuring is actually complete. The IAM analog that has been burning institutions for twenty years, and why AI model inventories repeat the same failure pattern. - Gap 2 — Evidence linkage: control, operation, artifact — traceable as a single chain. The difference between evidence and reconstruction, and why most human-oversight claims collapse under it. - Gap 3 — Exception documentation: why an undocumented exception is indistinguishable from a control failure, and the SoD parallel every practitioner already knows. - The Governance Spine: Appetite → Strategy → Controls → Evidence → Reporting. Where each of the three gaps lives inside the structure. - The diagnostic exercise: pick one AI use case. Run the three gaps against it. Locate your result.
Key frameworks: - The Three Gaps (Population Integrity, Evidence Linkage, Exception Documentation) - The Governance Spine (Appetite → Strategy → Controls → Evidence → Reporting)
Resources: - Book a Diagnostic Call - Subscribe to Into the Void: [Apple] [Spotify]