AI Governance Study

Testing depth: metrics and thresholds, system audits, alignment/repeatability/adversarial testing, and resource allocation

Testing an AI system is layered: metrics against thresholds, audits of the surrounding system, checks that results repeat, and adversaries trying to break it. Each layer catches what the previous one cannot.

Why this matters for the AIGP exam

Testing scenarios ask which kind of testing a described activity is, and which kind a described failure needed. The layers are the vocabulary.

The essentials

What the exam asks

Classify a described testing activity, match a failure to the layer that should have caught it, and defend risk-proportionate test effort.

Going deeper

This page is the condensed version. The full topic — with the detail above expanded and practice questions attached — is in the app, inside Domain III. Domain I, a quarter of the course, is free to try first.

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