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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks - AI model and data risk identification | |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability |
| Topic 3: AI Risk Program Management | 42% | - AI risk monitoring and continuous improvement - AI risk assessment and treatment strategies - AI governance communication and reporting - Enterprise AI risk program design |
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NEW QUESTION # 83
An organization has deployed an AI system to automate critical data analysis functions. Which of the following is the MOST appropriate way for the risk practitioner to assess the multiple sources of risk associated with this situation?
Answer: C
Explanation:
When multiple risk sources are present in a critical AI deployment, the risk practitioner must apply a prioritization framework that focuses resources on the risks with the greatest potential for organizational harm. This risk-based prioritization is more effective than comprehensive but undifferentiated risk cataloging.
Why A is Correct: The ISACA AAIR risk assessment methodology prioritizes risk factors based on potential harm severity as the most appropriate approach for critical AI systems. Focusing on risks most likely to generate substantial harm ensures that the organization's risk management resources are directed toward the exposures that matter most-protecting the critical functions that the AI system supports and preventing the most consequential adverse outcomes.
Why B is Wrong: Quantifying competitors' risk events provides external benchmarking data but cannot accurately characterize the organization's specific risk profile. Competitor risk events may involve different AI architectures, use cases, and organizational contexts that make direct comparison unreliable.
Why C is Wrong: Rating each risk factor independently without integration produces a fragmented view that misses risk correlations, cascade effects, and the compounding nature of multiple simultaneous risk factors.
Independent ratings also do not inherently lead to the harm-based prioritization needed for critical systems.
Why D is Wrong: Documenting technical limitations is a useful input to risk identification but represents a technical inventory activity rather than a comprehensive risk assessment methodology. Technical limitations are one category of risk factor among many-operational, governance, data quality, and third-party risks also require assessment.
NEW QUESTION # 84
An organization has developed an AI code of conduct outlining ethical use, data privacy, and transparency principles. Which of the following is the BEST approach to integrate the code of conduct into workforce training?
Answer: A
Explanation:
Effective ethics training must be relevant to the specific roles and responsibilities of each workforce segment, and must be reinforced over time as AI applications and ethical challenges evolve. Generic, one-time training produces shallow compliance rather than genuine ethical competence.
Why C is Correct: The ISACA AAIR Study Guide emphasizes role-tailored, continuous education as the best approach for embedding ethical principles into workforce behavior. Different roles-developers, business users, risk practitioners, executives-interact with AI in fundamentally different ways and face different ethical challenges. Tailored content ensures relevance, while scheduled refreshers maintain awareness as the ethical landscape changes with new AI deployments and regulatory developments.
Why A is Wrong: Onboarding incorporation is a starting point but insufficient alone. Ethics are not learned once at hire-they must be continuously reinforced as employees encounter new AI applications and ethical dilemmas in practice.
Why B is Wrong: External providers can deliver quality content but may not understand the organization's specific AI applications, culture, or risk profile. External delivery also tends to be episodic rather than integrated into ongoing role responsibilities.
Why D is Wrong: Focusing on legal compliance creates a rule-following culture rather than genuine ethical judgment. Compliance knowledge is necessary but insufficient for building the ethical reasoning skills needed for novel AI situations not covered by existing regulations.
NEW QUESTION # 85
Which of the following is the PRIMARY risk associated with the use of unsupervised learning methods to train AI models?
Answer: D
Explanation:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems.
Unsupervised learning operates without predefined labels, making discovered patterns harder to validate and explain against known targets. This creates particular assurance challenges around interpretation, labeling, and explainability compared with supervised classification. This makes option D, Lack of labeling and explainability, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 86
Which of the following is MOST important when defining responsible roles for integrating third-party AI services into an organization's supply chain?
Answer: A
Explanation:
Third-party AI service integration introduces distributed accountability challenges. When external services are incorporated into organizational supply chains, clearly designated ownership of AI governance and risk is essential to ensure responsibilities do not fall into gaps between internal and external parties.
Why A is Correct: According to ISACA AAIR third-party risk principles, designating AI governance and risk ownership is the foundational requirement for supply chain integration. Without clear internal ownership, third-party AI risks cannot be effectively monitored, escalated, or managed. The designated owner ensures vendor performance is assessed against risk criteria, contractual obligations are enforced, and emerging risks are addressed.
Why B is Wrong: Standardizing data transfer protocols is a technical integration concern. While important for security and operations, it does not address who is responsible for managing the ongoing governance and risk of the integrated service.
Why C is Wrong: Training third-party staff on internal AI policies is a vendor management activity that may be contractually required but does not substitute for internal governance ownership. Third-party training does not remove the organization's responsibility for oversight.
Why D is Wrong: Security policy alignment is important for consistent security posture but represents one dimension of third-party risk management. Governance and risk ownership encompasses security policy alignment as well as broader risk management responsibilities.
NEW QUESTION # 87
Which of the following is the PRIMARY risk reduction benefit of embedding secure coding practices throughout the AI development life cycle?
Answer: B
Explanation:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems. Secure coding throughout the AI development lifecycle reduces exploitable software and integration vulnerabilities before deployment. It does not directly detect model drift, eliminate human review, or guarantee predictive accuracy. This makes option B, Fewer model vulnerabilities that can be exploited by malicious actors, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 88
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