AI Audit Domain 1 – Preparation for Advanced in AI Audit

Master AI Governance and Risk - covering AI frameworks, ethical compliance, data governance, and audit practices aligned

This course contains the use of artificial intelligence. This course AAIA Review Manual Simplified – Domain 1: AI Governance and Risk, provides a deep yet easy-to-understand exploration of one of the most critical areas of the ISACA® Advanced in AI Audit (AAIA™) certification. It is designed for professionals who want to understand how to establish, assess, and audit governance structures that ensure AI systems are transparent, ethical, and compliant with regulatory and organizational standards.

The course begins by explaining the foundations of AI governance frameworks, highlighting how policies, roles, and responsibilities guide the responsible use of artificial intelligence. It then moves into AI risk management, teaching learners how to identify, analyze, and mitigate the risks that arise from AI models and data-driven decisions. You will explore how to evaluate AI systems for bias, accountability, explainability, and fairness - the essential pillars of trustworthy AI.

In addition to governance and risk, the course emphasizes data governance, privacy management, and compliance with global AI ethics and standards. Through real-world examples and case studies, learners will see how these principles apply in modern organizations and audits.

By the end of this course, participants will have a well-rounded understanding of how to evaluate AI governance programs, assess model and data integrity, and ensure that AI-driven systems operate safely, ethically, and in alignment with organizational goals - preparing them to excel in the AAIA certification exam and in professional practice.