Translate AI governance frameworks into observable decisions and artifacts.

The Co-Lab turns public AI governance concepts into structured learning objectives, modules, scenarios, evidence requirements, and assessment criteria. Educators retain control over every generated draft and only authorized humans may review and publish curriculum.

Learning pathways can address NIST AI RMF, ISO/IEC 42001, EU AI Act concepts, organizational accountability, data governance, model risk, human oversight, vendor risk, incident reconstruction, and policy-to-control traceability.

Curriculum quality is evaluated through the clarity of authority, stated purpose, risk reasoning, evidence sufficiency, uncertainty handling, and reproducibility of the final decision—not through attendance or content recall alone.