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| Section | Objectives |
|---|---|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
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| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
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| AI Lifecycle Controls | - Controls across AI development lifecycle
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| AI Risk Management | - Risk identification and assessment for AI systems
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| AI Governance and Strategy | - AI governance frameworks and organizational oversight
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NEW QUESTION # 57
Which of the following is the PRIMARY benefit of defining and documenting a RACI matrix for AI solution development and deployment?
Answer: B
Explanation:
A RACI (Responsible, Accountable, Consulted, Informed) matrix is a governance tool that explicitly maps roles and decision authority across project activities. For AI systems, RACI frameworks ensure that accountability for decisions, outputs, and risk management is clearly defined and documented.
Why D is Correct: The ISACA AAIR curriculum identifies the RACI matrix as a foundational accountability instrument. Its primary benefit is establishing unambiguous responsibility and decision authority, which is essential for AI governance where multiple stakeholders-technical teams, business owners, risk practitioners, compliance officers-must work together with clear lanes of authority. This clarity prevents accountability gaps and ensures risk management actions are owned.
Why A is Wrong: Facilitating collaboration is a secondary benefit. While RACI does support cross-functional coordination, collaboration enablement is not its defining purpose. Collaboration can occur without a RACI through other mechanisms.
Why B is Wrong: Consolidating governance authority in senior leadership describes centralization, which is not the purpose of RACI. In fact, RACI typically distributes responsibility across multiple levels rather than consolidating it.
Why C is Wrong: Strengthening technical development governance is an application of the RACI, not its primary benefit. The RACI benefit is accountability clarity, which then supports technical and architectural governance.
NEW QUESTION # 58
An AI risk assessment identifies high-impact exploitable vulnerabilities in an AI model. No practical remediation controls are available to address these flaws before the planned go-live date.
What is the risk practitioner’s recommended risk response?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. A high-risk model with known high-impact exploitable vulnerabilities should not be released when no effective fixes are available. Postponing launch is a risk-avoidance response that prevents knowingly introducing unacceptable exposure into production. This makes option D, Postpone the launch and communicate the delay to stakeholders, 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 # 59
Which of the following is the GREATEST risk when organizational risk tolerance is not embedded into AI policies?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. If risk tolerance is not embedded in AI policies, different teams may make inconsistent decisions and permit impacts that exceed enterprise-approved limits. This weakens escalation, treatment, and acceptance decisions across the AI portfolio. This makes option C, Inconsistent governance decisions that fail to mitigate unacceptable impacts, 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 # 60
Which of the following poses the GREATEST challenge related to the protection of intellectual property generated by AI solutions?
Answer: C
Explanation:
Traditional intellectual property law was designed for human-created works. AI-generated content sits in a legal grey zone because current copyright frameworks in most jurisdictions do not clearly establish who-if anyone-holds copyright in outputs created autonomously by AI systems.
Why C is Correct: According to ISACA AAIR, the lack of regulatory clarity around AI-generated content copyright is the greatest IP challenge because it creates fundamental uncertainty about ownership, transferability, and enforceability of rights in AI outputs. Without clear legal status, organizations cannot confidently assert ownership, license AI-generated materials, or prevent competitors from copying outputs.
This uncertainty pervades commercial agreements, licensing strategies, and competitive protection.
Why A is Wrong: Zero-data retention policies actually protect intellectual property by ensuring vendor systems do not retain proprietary input data. This represents a protective measure, not a challenge.
Why B is Wrong: Training material customization for confidential data handling is a workforce education challenge. While important for data protection, it does not represent the primary IP challenge from AI- generated content.
Why D is Wrong: Low-risk use cases like administrative tasks present minimal IP concerns because the outputs are typically not commercially significant or protectable. The IP challenge is greatest for creative, analytical, and proprietary outputs.
NEW QUESTION # 61
Which of the following is MOST important when adding override controls to a deployed AI system?
Answer: A
Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Human override controls must preserve accountability. The organization should document who is authorized to intervene, under what conditions, and who owns the resulting decision so that human intervention does not create an accountability gap. This makes option D, Documenting accountability for decisions, 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 # 62
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