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ISACA AAIR Exam Syllabus Topics:

SectionObjectives
Topic 1: AI Governance and Strategy- AI governance frameworks and organizational oversight
  • 1. Roles and responsibilities in AI governance
    • 2. Policy development for AI systems
      Topic 2: Regulatory and Compliance Requirements- Global AI regulatory landscape
      • 1. Data protection and privacy regulations
        • 2. Industry standards for AI risk management
          Topic 3: Ethics, Privacy, and Responsible AI- Ethical AI principles and compliance
          • 1. Bias and fairness mitigation
            • 2. Transparency and explainability
              Topic 4: AI Lifecycle Controls- Controls across AI development lifecycle
              • 1. Data quality and preparation controls
                • 2. Model validation and testing
                  Topic 5: AI Risk Management- Risk identification and assessment for AI systems
                  • 1. Operational risk in AI deployment
                    • 2. Model risk identification

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                      ISACA Advanced in AI Risk Sample Questions (Q172-Q177):

                      NEW QUESTION # 172
                      An organization depends on automated decision systems for critical operations. Which of the following MOST effectively mitigates prolonged operational risk after system failures?

                      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. Tabletop disaster recovery exercises test whether recovery roles, procedures, escalation paths, dependencies, and decisions will work during disruption. Restoration of artifacts is necessary after failure, but exercises validate the organization ' s ability to recover before an incident occurs. This makes option C, Conducting tabletop disaster recovery exercises, 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 # 173
                      Which of the following is the PRIMARY benefit of defining and documenting a RACI matrix for AI solution development and deployment?

                      Answer: C

                      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 # 174
                      Which of the following is MOST important when defining responsible roles for integrating third-party AI services into an organization's supply chain?

                      Answer: B

                      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 # 175
                      Which of the following is the GREATEST concern when an organization cannot clearly explain an AI system's decision-making process and the origin of its inputs?

                      Answer: B

                      Explanation:
                      Explainability and input transparency are foundational requirements for responsible AI governance. When these are absent, organizations lose the ability to identify when AI systems produce harmful, biased, or inaccurate results-leaving those harms undetected and unaddressed.
                      Why C is Correct: According to ISACA AAIR, the inability to explain AI decisions is most dangerous because it creates an environment where discriminatory or inaccurate outputs can persist undetected. This exposes the organization to regulatory penalties (particularly under anti-discrimination, financial services, and privacy laws), reputational damage, and harm to affected individuals. The detection gap-not knowing what the system is doing wrong-is the core governance failure.
                      Why A is Wrong: External provider dependence is a third-party risk management concern. While relevant, it is a structural risk that can be addressed through contract management, not an immediate consequence of lacking explainability.
                      Why B is Wrong: Declining adoption rates represent a change management and trust concern. Business unit reluctance to adopt AI is a cultural and operational issue, not the primary risk from unexplainable AI decisions.
                      Why D is Wrong: Manual review bottlenecks represent operational inefficiency. They may result from lack of confidence in AI outputs but do not represent the primary organizational harm from unexplainability.


                      NEW QUESTION # 176
                      An organization depends on multiple external suppliers for AI models and training datasets. Which of the following is MOST important to have in place in order to reduce supply chain risk?

                      Answer: C

                      Explanation:
                      AI supply chain risk arises when external models or datasets are tampered with, have undisclosed characteristics, or cannot be traced to trusted origins. End-to-end provenance and audit trails address these risks by enabling verification of integrity and origin at every stage of the supply chain.
                      Why A is Correct: According to ISACA AAIR supply chain risk management guidance, verifiable provenance and audit trails are the most important supply chain protection mechanism. Provenance documentation traces the origin, handling, and transformation history of every externally sourced AI artifact- enabling the organization to verify that models and datasets have not been tampered with, that data sources are legitimate, and that the supply chain has not been compromised. Without provenance, organizations cannot distinguish trustworthy from compromised artifacts.
                      Why B is Wrong: Indemnity clauses assign financial liability after harm occurs. They provide legal recourse but do not prevent supply chain attacks or help the organization verify artifact integrity before deployment.
                      Why C is Wrong: Training method documentation provides useful technical context but does not verify that the actual artifacts delivered match the documentation. Documentation can be falsified; provenance verification with cryptographic integrity checks cannot.
                      Why D is Wrong: A vendor risk manager provides governance oversight and relationship management. While important for managing vendor relationships, a single contact point does not substitute for technical provenance verification of every artifact in the supply chain.


                      NEW QUESTION # 177
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