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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment |
| Topic 2: AI Risk Program Management | 42% | - AI governance communication and reporting - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI risk monitoring and continuous improvement |
| Topic 3: AI Life Cycle Risk Management | - AI development, deployment, and monitoring risks - AI model and data risk identification - AI bias, drift, transparency, and control evaluation |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following poses the GREATEST challenge when performing root cause analysis for incidents involving AI systems and data?
A) Unclear system objectives
B) Lack of transparency
C) Automation bias
D) Privacy compliance
2. An election oversight body is considering the use of AI to identify irregularities in voting patterns. Which of the following is the MOST important risk to evaluate?
A) Distrust of AI among political interest groups
B) Amplification of biases in historical data
C) Identification of voter locations
D) Susceptibility to contextual drift
3. An organization uses an AI model that learns from live data streams. Which of the following is the BEST course of action to manage the risk of an adaptive model?
A) Restrict data sources and perform periodic data quality inspections.
B) Implement automated monitoring to detect data drift and data poisoning.
C) Utilize a defense-in-depth control approach for model access.
D) Apply dynamic performance thresholds and conduct scheduled recalibrations.
4. A risk practitioner learns that an AI system used by a manufacturer for quality control (QC) has produced inaccurate responses that could potentially impact user safety. Which of the following is the risk practitioner's BEST recommendation to mitigate this risk?
A) Augment the model with synthetic data.
B) Provide AI prompt engineering training.
C) Implement human-in-the-loop reviews.
D) Conduct bias and fairness testing.
5. A risk practitioner learns that an organization's AI inventory includes separate listings of AI systems, models, and datasets. Which of the following is the risk practitioner's BEST recommendation to improve AI governance?
A) Automate inventory reconciliation steps.
B) Include information about model training frequency.
C) Assign inventory oversight to the AI risk committee.
D) Map interdependencies between AI assets continuously.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D |






