Audit Evidence & Assurance Reporting

This lesson explores audit evidence and assurance reporting within AI governance programs. Learners will examine how organizations collect, maintain, validate, and present evidence demonstrating that AI systems operate in accordance with governance, security, compliance, and risk management requirements. The lesson covers evidence collection, audit readiness, control testing, assurance activities, documentation practices, and reporting processes that help organizations demonstrate accountability, transparency, and trustworthiness across the AI lifecycle.