Standardized Definition of AI Governance: The 15 Structural Tests

The 15 Structural Tests constitute the definitive enforcement mechanism for the Standardized Definition of AI Governance. This document establishes a closed, verifiable system for determining whether AI systems remain governable under live conditions. Each test defines a specific failure mode in four categories: User Agency, Traceability, Anti-Simulation, and Accountability, and sets the evidentiary and procedural standards required to expose it.

Written in precise procedural language, every test contains three fixed components: What identifies the exact condition being verified, How prescribes the live inspection procedure, and Evidence defines the admissible materials that prove or disprove compliance. Together they convert governance from a policy claim into a reproducible act of verification.

The document includes full evidentiary specifications, enforcement outcomes, and glossary definitions, making it self-contained and jurisdiction-neutral. It is designed for direct application by auditors, inspectors, and oversight bodies to test AI systems without interpretation or prior setup.

In effect, The 15 Structural Tests operationalise the concept of AI governance itself: A system is governed only when control can be proven under real conditions.

This document operationalises the Standardized Definition of AI Governance. The Definition establishes what governance means; this document defines how it is verified. Together they form a single, indivisible standard: the Definition expresses the principle, and the 15 Structural Tests expose whether that principle holds under real conditions.