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ISACA AAIR Exam Syllabus Topics:
| Section | Objectives |
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
- 1. Transparency and explainability
- 2. Bias and fairness mitigation
|
| AI Risk Management | - Risk identification and assessment for AI systems
- 1. Model risk identification
- 2. Operational risk in AI deployment
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
- 1. Roles and responsibilities in AI governance
- 2. Policy development for AI systems
|
| AI Lifecycle Controls | - Controls across AI development lifecycle
- 1. Model validation and testing
- 2. Data quality and preparation controls
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
- 1. Data protection and privacy regulations
- 2. Industry standards for AI risk management
|
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is the BEST governance approach for balancing risk management and operational flexibility across diverse AI applications?
A) Frameworks that can be adapted to business-relevant AI use cases
B) Risk ownership processes that focus on ensuring centralized decision-making
C) Control approaches for AI solutions that prioritize compliance on a single regulation
D) External consultants who conduct independent AI governance reviews
2. 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) Use of supervised learning during model training
C) Legally sourced data with appropriate consent
D) Human review of system recommendations
3. Which of the following is the PRIMARY purpose of maintaining comprehensive model cards and documentation?
A) Listing technical specifications
B) Justifying model use cases
C) Preserving audit trails
D) Providing model transparency
4. Which of the following is the GREATEST risk when an organization relies only on adversarial training to protect a private AI model in a testing environment?
A) Overfitting to limited datasets
B) Inefficient model training cycles
C) Presence of unaddressed system vulnerabilities
D) Increased likelihood of exposing proprietary algorithms
5. Which of the following is the PRIMARY benefit of incorporating new AI-specific controls?
A) It accelerates deployment timelines by enabling more efficient pre-deployment risk analysis.
B) It reduces costs by eliminating redundant controls and consolidating control oversight.
C) It identifies and prioritizes compliance reporting requirements that apply to both existing and new controls.
D) It provides a holistic approach to address conventional governance exposures and emerging AI vulnerabilities.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |