Isaca Advanced in AI Audit
AAIA
Money Back Guarantee
98% Success Rate
Real Questions
1
AI Governance and Risk 33%
1.A
AI Models, Considerations, and Requirements
2 subtopics1.A.1AI Model Types and Applications
1.A.2Business Requirements for AI Solutions
Learning Objectives
- Evaluate system/business requirements for AI solutions to ensure alignment with enterprise architecture
- Evaluate AI solutions to advise on impact, opportunities, and risk to organization
1.B
AI Governance and Program Management
2 subtopics1.B.1AI Governance Framework
1.B.2AI Program Management
Learning Objectives
- Evaluate the organization's AI policies and procedures, including compliance with legal and regulatory requirements
- Evaluate whether the organization has defined ownership of AI-related risk, controls, procedures, decisions, and standards
1.C
AI Risk Management
2 subtopics1.C.1AI-Specific Risk Assessment
1.C.2Control Design and Implementation
Learning Objectives
- Evaluate the design and effectiveness of controls specific to AI
- Evaluate the role and impact of AI decision-making systems on the organization and stakeholders
1.D
Privacy and Data Governance Programs
2 subtopics1.D.1Data Privacy in AI
1.D.2Data Governance for AI
Learning Objectives
- Evaluate the organization's data governance program specific to AI
- Evaluate the organization's privacy program specific to AI
1.E
Leading Practices, Ethics, Regulations, and Standards for AI
2 subtopics1.E.1AI Ethics and Responsible AI
1.E.2Regulatory Compliance and Standards
Learning Objectives
- Evaluate the organization's compliance with AI-related legal and regulatory requirements
- Analyze the impact of AI on the workforce to advise stakeholders
Domain Hands-on Skills
Risk assessment methodologyPolicy developmentControl designCompliance evaluation
Common Mistakes to Avoid
- Overlooking ethical considerations
- Insufficient stakeholder engagement
- Inadequate risk assessment
- Weak governance structures
2
AI Operations 46%
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