AAIA – ADVANCED IN AI AUDIT

This domain demonstrates your ability to advise stakeholders on implementing AI solutions to meet the organization’s strategic objectives, creating ethical and responsible AI governance policies and practices, and mitigating implementation risks, including leading data governance, privacy, and security practices.

– AI models, considerations, and requirements
– AI governance and program management
– ​​AI risk management
– ​​Data privacy and governance programs
– Leading AI practices, ethics, regulations, and standards

This domain validates your ability to assess an organization’s risk profile and the benefits and consequences of AI implementations, while ensuring the organization is operationally ready for the successful adoption of this powerful technology.

– AI-SPECIFIC DATA MANAGEMENT
– AI SOLUTION DEVELOPMENT METHODOLOGIES AND LIFECYCLE
– AI-SPECIFIC CHANGE MANAGEMENT
– AI SOLUTION OVERSIGHT (E.G., OUTPUTS, IMPACTS, AND DECISIONS)
– AI SOLUTION TESTING TECHNIQUES
– AI-SPECIFIC THREATS AND VULNERABILITIES
– AI-SPECIFIC INCIDENT RESPONSE MANAGEMENT

This domain focuses on optimizing audit results through innovation, while highlighting your knowledge of audit techniques adapted to AI systems and your use of AI-enabled tools to streamline audit efficiency and deliver faster, higher-quality insights.

– AUDIT PLANNING AND DESIGN
– AUDIT SAMPLING AND TESTING METHODOLOGIES
– AUDIT EVIDENCE COLLECTION TECHNIQUES
– DATA QUALITY AND DATA ANALYSIS
– AUDIT OUTPUT AND REPORTING