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ISACA AAIR Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Topic 2: Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Topic 3: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Topic 4: AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Topic 5: AI Risk Management | - Risk identification and assessment for AI systems
|
ISACA Advanced in AI Risk Sample Questions:
1. An organization plans to deploy a generative AI system that processes sensitive personal data across multiple countries with varying privacy laws. Which of the following is the BEST course of action to manage legal and regulatory exposure?
A) Tailor organizational controls to relevant statutory requirements and preserve audit trails to prove adherence.
B) Prioritize protection of intellectual property and restrict disclosure of model operations to safeguard assets.
C) Remediate regulatory gaps in each jurisdiction through iterative post-deployment updates and model retraining.
D) Adopt uniform global policies and implement strong encryption of personal data for all cross-border transfers.
2. 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) Increased likelihood of exposing proprietary algorithms
C) Presence of unaddressed system vulnerabilities
D) Inefficient model training cycles
3. An organization uses multiple external data sources to train its AI models. Which of the following is the risk practitioner's BEST recommendation to protect the organization from data poisoning attacks?
A) Data integrity reviews in response to indications that significant model drift has occurred
B) Stringent controls over model code and deployment artifacts
C) Continuous monitoring and anomaly detection for data ingestion pipelines
D) Enhanced regularization and training techniques to limit the influence of anomalies
4. 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) Map interdependencies between AI assets continuously.
C) Assign inventory oversight to the AI risk committee.
D) Include information about model training frequency.
5. Which of the following is the PRIMARY benefit of defining and documenting a RACI matrix for AI solution development and deployment?
A) It facilitates collaboration between operational and technical teams on AI decision making.
B) It establishes responsibility and decision authority for AI project outcomes and risk management.
C) It strengthens governance over AI technical development activities and enterprise architecture (EA).
D) It consolidates AI governance authority and oversight within senior organization leadership.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: B |


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