Model Documentation & Audit Evidence

This lesson explores how organizations document AI systems and maintain audit evidence to support governance, compliance, and accountability. Learners examine documentation practices throughout the AI lifecycle, including model cards, factsheets, testing records, approval workflows, risk assessments, and decision logs. The lesson explains how audit evidence demonstrates that governance processes were followed and why documentation is essential for transparency, regulatory compliance, and trustworthy AI operations.