AI Audit Checklist: Governance, Bias, Security, Explainability, Performance, Ethics

This podcast presents a comprehensive AI Audit Checklist designed for certified trainers and consultants. It outlines key audit areas spanning AI governance, regulatory compliance, bias detection, security, explainability, performance monitoring, deployment, ethics, and continuous monitoring. The checklist provides specific audit questions and methods to check compliance status, including references to standards like GDPR, ISO 42001, and NIST AI RMF. Furthermore, it details best practices for AI audit report writing and post-audit follow-up, emphasizing thorough documentation and continuous improvement in AI governance and risk management.