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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | - AI model and data risk identification - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks | |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability |
| Topic 3: AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI governance communication and reporting - AI risk monitoring and continuous improvement |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is the BEST way to integrate AI risk management into operational procedures?
A) Introduce AI risk assessment stages throughout the development and deployment process.
B) Engage regular third-party audits of AI process and workflow documentation.
C) Require AI risk committee approval for changes involving automation of manual tasks.
D) Require organization-wide training on AI legal and regulatory requirements.
2. A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?
A) The organization uses outside contractors to address the lack of in-house AI knowledge.
B) The system is used to accelerate just-in-time warehouse processes.
C) The deep neural network used by the system contains datasets with proprietary information.
D) The system is unable to learn from complex situations not encountered during training.
3. Which of the following should be the MOST important area of focus during the development of data security risk scenarios specific to AI?
A) Attack vectors enabled by techniques for malicious alteration of AI system outputs
B) Development and communication of need-based access policies for the use of AI applications
C) Quantum encryption methods for the protection of proprietary organizational data assets
D) Documentation of business unit readiness for secure adoption of AI for general operations
4. Which of the following BEST helps to ensure AI model outputs can be reproduced in other environments?
A) Implementing AI-specific change management processes
B) Capturing and archiving complete snapshots of training datasets
C) Requiring manual review of outputs for stability and accuracy
D) Maintaining continuous post-deployment performance monitoring
5. Which of the following is the GREATEST risk when an organization lacks clearly defined accountability mechanisms for AI outputs and decisions?
A) Ineffective model training
B) Legal liability
C) Reduced availability
D) Intellectual property exposure
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: B |





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