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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the MOST important consideration when determining mitigation controls for an AI system?

A) Providing comprehensive AI risk awareness training to security and technical personnel
B) Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
C) Prioritizing controls based on the complexity and computational requirements of the AI system
D) Determining control performance baselines and reporting requirements for regulatory compliance

2. Which of the following is a risk practitioner's BEST justification for embedding AI risk considerations into acceptable use policies?

A) Maintaining alignment of enterprise tolerance across decision-making systems
B) Applying uniform risk controls across diverse business functions
C) Addressing the potential for shadow AI by defining an allow list for AI tools
D) Assigning AI risk accountability to business unit leadership

3. An organization integrates multiple AI services using APIs to enhance a customer support chatbot. Which of the following is the GREATEST risk?

A) Customer dissatisfaction from operational delays
B) Unauthorized disclosure of sensitive records via insecure external connections
C) Greater likelihood of bias or inaccuracy in chatbot responses
D) Insufficient training datasets due to outdated or limited sample coverage

4. An organization seeks to implement a new AI system that uses customer information to create targeted product recommendations. Which of the following is the MOST important consideration to ensure the system complies with regulatory requirements?

A) Backup and storage protocols for sensitive data
B) Legally sourced data with appropriate consent
C) Use of supervised learning during model training
D) Human review of system recommendations

5. Which of the following is the GREATEST organizational risk when AI performance alerts are not escalated to decision-makers for review and decisioning?

A) Business disruption due to delayed remediation of unstable AI behavior
B) Inadequate representation of AI operational risk in governance reporting
C) Loss of traceability from insufficient model decision logging
D) Excessive cost and resource allocation due to redundant mitigation activities

Solutions: