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ISACA Advanced in AI Risk Sample Questions (Q13-Q18):

NEW QUESTION # 13
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 # 14
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: D

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 # 15
A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner's BEST recommendation?

Answer: B

Explanation:
Credit scoring AI systems are subject to anti-discrimination regulations that prohibit using models that produce biased outcomes affecting protected classes. When bias cannot be eliminated through technical means, continuing to operate the system creates ongoing legal violations and harm to affected individuals.
Why B is Correct: According to ISACA AAIR risk treatment guidance and legal compliance obligations, removing a biased credit-scoring system from production is the appropriate response when bias cannot be technically remediated. Continuing to operate a system known to produce discriminatory credit decisions violates anti-discrimination laws (such as the Equal Credit Opportunity Act), exposes the organization to regulatory enforcement, and causes ongoing harm to affected borrowers. Risk avoidance through system withdrawal is the appropriate treatment when the risk cannot be adequately mitigated.
Why A is Wrong: Requesting senior management risk acceptance for confirmed legal violations is inappropriate because organizations cannot accept risks involving known regulatory breaches. Senior management cannot legitimately authorize continued discriminatory lending practices.
Why C is Wrong: Sourcing a replacement system is a necessary future action but takes time to procure, validate, and deploy. In the interim, the biased system should not continue operating. Removing the system from production should precede replacement planning.
Why D is Wrong: Applying compensating controls to generate offsetting biases compounds the discriminatory problem rather than resolving it. Deliberately introducing additional bias-even in the opposite direction-creates an unpredictably biased model that does not produce fair outcomes.


NEW QUESTION # 16
A risk practitioner discovers that autonomous agents have been creating temporary HR system identities.
Which of the following poses the GREATEST risk?

Answer: C

Explanation:
Autonomous agents creating HR system identities that exist outside the organization's federated identity management system create invisible, unmanaged access pathways. These shadow identities bypass the centralized access governance controls designed to enforce least privilege, monitor access activity, and enable rapid deprovisioning.
Why D is Correct: According to ISACA AAIR identity and access management guidance for autonomous AI systems, identities not incorporated into the federated system pose the greatest risk because they are invisible to access governance processes. Federated identity management provides centralized provisioning, deprovisioning, monitoring, and policy enforcement. Autonomous identities outside this system can accumulate inappropriate access rights, persist after their legitimate purpose expires, and be used for unauthorized actions-entirely outside the organization's visibility.
Why A is Wrong: Breach identification delays are a consequence of the visibility gap created by ungoverned identities, not the root risk. The primary risk is the existence of invisible access pathways; delayed detection is a downstream effect.
Why B is Wrong: Ineffective credential management is a specific implementation problem with known credentials. The greater risk here is identities that the credential management system doesn't know about at all-complete invisibility is worse than imperfect management.
Why C is Wrong: Increased staffing for human validation is an operational resource impact. While relevant to managing autonomous agent oversight, staffing requirements are a manageable operational concern, not the greatest governance risk from ungoverned identities.


NEW QUESTION # 17
Which of the following is the PRIMARY benefit of integrating AI risk processes into an enterprise risk framework?

Answer: C

Explanation:
Enterprise risk framework integration elevates AI risk management from a technical discipline to a strategic organizational function, ensuring AI risks are considered alongside all other enterprise risks in strategic planning and decision-making.
Why D is Correct: The ISACA AAIR curriculum identifies enterprise integration as the mechanism that enables organization-level oversight and ensures AI risk management aligns with strategic objectives, risk appetite, and governance structures. This integration allows the board and senior management to make informed decisions about AI investment, deployment, and risk acceptance with full awareness of AI's contribution to the organizational risk profile.
Why A is Wrong: KPI benchmarking is an operational performance management activity. While integration may improve KPI accuracy, this is a secondary operational benefit rather than the primary strategic benefit of ERM integration.
Why B is Wrong: Regulatory compliance is improved by integration but represents a specific compliance benefit rather than the primary organizational value. Compliance is an output of good governance, not the purpose of ERM integration.
Why C is Wrong: Cyber threat identification is a security function that benefits from integration but is not the primary benefit. Many AI risks are non-cyber in nature-fairness, accuracy, transparency-and would not be captured by a cyber-focused framing.


NEW QUESTION # 18
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