Audit Evidence & Documentation

Effective AI governance depends on evidence. Organizations must be able to demonstrate how AI systems were designed, trained, tested, approved, deployed, monitored, and governed throughout their lifecycle. This lesson explores audit evidence and documentation within AI governance programs, examining the records, artifacts, and traceability mechanisms that support accountability and assurance. Learners will explore model cards, datasheets, system factsheets, audit trails, provenance records, and governance documentation practices. Understanding audit evidence is essential for AI governance auditors because governance cannot be verified through intentions alone—it must be supported by documented, traceable, and auditable evidence.