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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases |
| Topic 2: AI Life Cycle Risk Management | - AI model and data risk identification - AI development, deployment, and monitoring risks - AI bias, drift, transparency, and control evaluation | |
| Topic 3: AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI risk monitoring and continuous improvement - AI governance communication and reporting |
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the MOST critical component of a disaster recovery plan (DRP) for data, models, and AI infrastructure?
- A. Restoration processes for production-ready AI models with version control and remote storage
- B. Management of supply chain disruptions and organizational staff shortages
- C. Details of insurance policies that provide coverage for business losses due to major AI incidents
- D. Organizational policies and strategic goals related to business continuity
Correct Answer: A 🗳️
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A risk practitioner is performing a post-implementation review for an AI system used for credit scoring.
Which of the following is MOST important for the risk practitioner to confirm?
- A. The AI system ' s decisions are explainable and fair.
- B. Employees find the AI system easy to learn and use.
- C. Performance metrics are frequently communicated to stakeholders.
- D. Access token runtime is logged and timestamped.
Correct Answer: A 🗳️
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Which of the following is the MOST suitable key risk indicator (KRI) for model drift resulting in biased or discriminatory outputs?
- A. F1 score
- B. Disparate impact ratio
- C. Output stability
- D. Population stability index
Correct Answer: B 🗳️
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Which of the following is the PRIMARY benefit of aligning AI risk management with existing organizational governance frameworks?
- A. It standardizes AI acquisition processes across organizational business units.
- B. It emphasizes the development of specialized functional roles and clarifies AI risk responsibility boundaries.
- C. It expedites approval processes for compliance with AI laws and regulations.
- D. It promotes consistent enterprise-level oversight of AI activities and aligns decisioning with strategic objectives.
Correct Answer: D 🗳️
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Which of the following is the MOST important consideration for a risk practitioner assessing the reproducibility of model outputs?
- A. Reliance on proprietary algorithms for AI model outputs and decisions
- B. Key performance indicators (KPIs) for model accuracy
- C. Automated end-to-end capture of metadata and data lineage
- D. Identification of process dependencies with AI model development
Correct Answer: C 🗳️
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