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Isaca AAIR Sample Question Answers
Question # 1
A financial services organization is subject to regulatory examination on its AI risk management
practices. The examiner identifies that the organization lacks documented evidence of: (1) AI risk
appetite statements, (2) risk-based AI system classification, (3) AI incident response procedures,
and (4) board oversight of AI risk. The examiner rates the overall AI risk management program as
'Unsatisfactory.' Which remediation should be prioritized FIRST?
A. Develop AI incident response procedures — these have the most direct operational impact. B. Establish board oversight mechanisms and AI risk appetite — as these are the foundationalgovernance elements upon which all other AI risk management activities depend. C. Implement AI system risk classification — this enables risk-based prioritization of all otheractivities. D. Document existing AI controls to demonstrate maturity to the regulator.
Answer: B
Explanation:
Governance is the foundation of any risk management program. Without clear board oversight and a defined AI risk appetite, the organization lacks direction and accountability for how risks should be managed.
These elements establish the tone at the top, guiding risk classification, incident response, and control documentation.
Regulators expect board-level involvement and a documented risk appetite as evidence of mature governance. Addressing this gap first ensures that subsequent remediation efforts (classification, incident response, controls) are aligned with organizational priorities.
Why not the others?
A. Develop AI incident response procedures ? Important for operations, but incident response is tactical. Without governance, procedures may lack authority or alignment.
C. Implement AI system risk classification ? Useful for prioritization, but classification depends on the organization’s defined risk appetite and governance framework.
D. Document existing AI controls ? Helps demonstrate maturity, but documenting controls without governance and oversight does not satisfy regulators’ concerns about accountability.
Question # 2
An AI model used in production has a known vulnerability that could be exploited. A patch isavailable but requires a 4-hour maintenance window during business hours. The business unitrefuses to accept the downtime. The AI risk manager must decide. What is the MOST appropriateaction?
A. Accept the risk and continue operating the vulnerable system indefinitely. B. Formally document the risk, escalate to the appropriate governance level for risk acceptancedecision, and define compensating controls for the interim period. C. Implement the patch without business unit approval. D. Wait until the next scheduled maintenance window, even if months away.
Answer: B
Explanation:
When a known vulnerability exists and a patch is available, the risk manager cannot simply ignore it or act unilaterally.
The appropriate governance process must be followed:
Document the risk clearly, including the vulnerability, potential impact, and business unit’s refusal of downtime.
Escalate to governance/board-level risk committees for a formal risk acceptance decision.
Define compensating controls (e.g., increased monitoring, network segmentation, access restrictions) to reduce exposure until the patch can be applied.
Why not the others?
A. Accept the risk indefinitely ? Irresponsible; leaves the system exposed without oversight.
C. Implement the patch without business unit approval ? Breaks governance and could damage trust/business operations.
D. Wait until the next scheduled maintenance window (months away) ? Delays remediation unnecessarily and increases exposure.
Question # 3
An organization's AI risk management program operates independently from its enterprise riskmanagement (ERM) framework. AI risks are not reflected in the enterprise risk register orescalated to the board through ERM reporting. What is the GREATEST risk of this siloedapproach?
A. The AI risk team may develop redundant risk management processes. B. AI risks may not receive appropriate executive attention, resource allocation, or strategic risktreatment, leaving the organization exposed to material risks that the board is unaware of. C. The AI program may miss technical risk factors identified by the enterprise risk team. D. Compliance auditors may identify the disconnect and cite the organization.
Answer: B
Explanation:
The greatest risk of keeping AI risk management siloed from enterprise risk management (ERM) is that critical AI risks are invisible at the enterprise level.
Without integration:
AI risks won’t appear in the enterprise risk register.
The board and executives won’t have visibility, meaning they cannot allocate resources or make strategic decisions to mitigate them.
Material risks could escalate unchecked, potentially leading to regulatory, reputational, or financial damage.
Why not the others?
A. Redundant processes ? Inefficient, but not the greatest risk.
C. Missing technical risk factors ? Possible, but technical blind spots are less severe than lack of executive oversight.
D. Compliance auditors citing the disconnect ? A consequence, but the root issue is lack of board visibility and governance.
Question # 4
What is the PRIMARY purpose of an AI Risk Treatment Plan?
A. To document all AI systems in production. B. To define specific actions, timelines, owners, and resources required to bring AI risks towithin acceptable levels. C. To record historical AI incidents for regulatory reporting. D. To establish AI performance benchmarks.
Answer: B
Explanation:
An AI Risk Treatment Plan is a structured document that outlines how identified AI risks will be managed.
Its primary purpose is to ensure risks are reduced to acceptable levels by specifying:
Actions ? What needs to be done to mitigate or manage the risk.
Timelines ? When the actions will be completed.
Owners ? Who is responsible for executing each action.
Resources ? What tools, funding, or personnel are required.
Why not the others?
A. Document all AI systems in production ? That’s more of an AI inventory, not a risk treatment plan.
C. Record historical AI incidents ? That’s part of an incident log or reporting process, not risk treatment.
D. Establish AI performance benchmarks ? That relates to model evaluation and monitoring, not risk treatment.
Question # 5
An organization wants to assess the effectiveness of its AI risk controls. Which approach provides
the MOST comprehensive assessment?
A. Self-assessment by the AI development team. B. A combination of continuous monitoring metrics, periodic independent control testing, andexternal audit. C. Annual compliance review by the legal department. D. Vendor-provided performance reports.
Answer: B
Explanation:
To truly assess the effectiveness of AI risk controls, you need a multi-layered approach:
Continuous monitoring metrics ? Provide real-time visibility into AI system performance, anomalies, and control effectiveness.
Periodic independent control testing ? Ensures controls are validated objectively, not just by the development team.
External audit ? Adds credibility and regulatory assurance, confirming that controls meet industry and compliance standards.
This combination provides the most comprehensive assessment because it balances ongoing oversight, independent validation, and external assurance.
Why not the others?
A. Self-assessment by the AI development team ? Biased and limited; lacks independence.
C. Annual compliance review by the legal department ? Too narrow and infrequent; focuses on compliance, not operational effectiveness.
D. Vendor-provided performance reports ? Useful, but vendors may not highlight weaknesses; lacks independence and comprehensiveness.
Question # 6
An organization uses AI to generate personalized financial advice for retail investors. A postdeployment review discovers the AI system recommends higher-risk products to lower-incomecustomers. The organization's risk appetite explicitly prohibits AI systems that produce outcomescorrelated with customer income level in ways that disadvantage lower-income groups. What is theMOST serious concern?
A. The AI may be generating advice that does not align with individual investor risk profiles. B. The AI system is operating outside the organization's stated risk appetite, potentiallyproducing discriminatory outcomes that violate regulatory obligations and ethical standards. C. The AI may expose the organization to increased market risk. D. Higher-risk product recommendations may generate more revenue.
Answer: B
Explanation:
Option A: A is incorrect. Suitability of advice is a related concern but is secondary to the identified
discriminatory pattern that violates risk appetite.
Option B (CORRECT): B is correct. The system is demonstrably violating the risk appetite (incomecorrelated disadvantageous recommendations), which is a governance failure. This creates regulatory
risk (potential violation of fair treatment regulations), ethical risk, and reputational risk. The risk appetite
violation is the most serious concern — it requires immediate escalation and remediation.
Option C: C is incorrect. Market risk from investment products is a financial risk separate from the AI
governance failure described.
Option D: D is incorrect. Revenue generation does not justify discriminatory AI outcomes and is an
ethically problematic framing.
Question # 7
An AI risk manager is reviewing vendor contracts for AI services. Which contractual provision is
MOST important from an AI risk governance perspective?
A. Pricing and volume discount terms. B. Right to audit AI system performance, transparency requirements, data handling obligations,and incident notification obligations. C. Vendor's marketing and branding rights. D. Automatic contract renewal terms.
Answer: B
Explanation:
Option A: A is incorrect. Pricing terms are commercial, not governance provisions.
Option B (CORRECT): B is correct. From an AI governance perspective, the most important contractual
provisions are those that enable ongoing oversight: audit rights (enables accountability), transparency
requirements (enables explainability), data handling obligations (enables privacy compliance), and
incident notification (enables timely response). These are the governance mechanisms in the contract.
Option C: C is incorrect. Branding rights are marketing terms with no AI governance relevance.
Option D: D is incorrect. Renewal terms are commercial provisions, not AI governance mechanisms.
Question # 8
An organization's AI incident response team receives an alert that an AI model used for fraud
detection has begun flagging 300% more transactions as fraudulent than its historical baseline,
with no apparent change in actual fraud rates. Which is the MOST appropriate FIRST action?
A. Disable the fraud detection AI and revert to manual review. B. Investigate whether the anomaly represents adversarial manipulation, data pipeline failure,or concept drift before taking operational action. C. Notify all customers flagged by the AI as suspected fraudsters. D. Engage the AI vendor to analyze the model and identify the cause
Answer: B
Explanation:
Option A: A is incorrect. Disabling the system is premature without understanding the cause — it could
be a critical security response or an overreaction depending on findings.
Option B (CORRECT): B is correct. A sudden 300% spike in fraud flags without a corresponding
increase in actual fraud is an anomaly that could represent data pipeline failure, adversarial
manipulation, or drift. Investigation to determine the root cause must precede operational action —
disabling the system or notifying customers prematurely could cause greater harm.
Option C: C is incorrect. Notifying flagged customers before understanding the anomaly would be
deeply inappropriate if the flags are false positives from a model malfunction.
Option D: D is incorrect. Vendor engagement may be appropriate but is not the first action — initial
investigation by the internal team should precede external escalation.
Question # 9
An AI risk manager identifies a control gap: the organization's AI systems are monitored for
accuracy but not for fairness metrics. What type of risk does this gap MOST represent?
A. Operational risk — the system may become unreliable. B. Compliance and ethical risk — discriminatory outputs may go undetected, creatingregulatory and reputational exposure. C. Technology risk — the monitoring infrastructure is insufficient. D. Strategic risk — AI investments may not achieve business objectives.
Answer: B
Explanation:
Option A: A is incorrect. Operational risk relates to system reliability, not the fairness monitoring gap.
Option B (CORRECT): B is correct. Failing to monitor for fairness creates compliance risk (violations of
anti-discrimination laws, GDPR, EU AI Act) and ethical risk (perpetuating discriminatory outcomes). This
is specifically a governance gap that goes beyond operational or technology risk.
Option C: C is incorrect. Infrastructure sufficiency is a technology concern, but the gap described is
about what is being measured, not how.
Option D: D is incorrect. Strategic risk relates to value delivery, not the specific fairness monitoring gap.
Question # 10
An organization is building a supply chain AI system that relies on data feeds from multiple external
partners. What is the PRIMARY third-party supply chain risk for this AI system?
A. Partners may charge higher fees for data access. B. Compromised, manipulated, or low-quality external data feeds could degrade modelperformance or enable supply chain attacks. C. Partners may not provide real-time data updates. D. Integration complexity may increase development costs.
Answer: B
Explanation:
Option A: A is incorrect. Pricing is a commercial concern, not the primary AI risk.
Option B (CORRECT): B is correct. The primary supply chain risk for AI systems dependent on external
data is the integrity and quality of those inputs. Compromised data feeds (through partner breaches or
malicious manipulation) directly impact model outputs and could enable indirect adversarial attacks — a
recognized AI supply chain threat.
Option C: C is incorrect. Latency is an operational performance concern, not the primary supply chain
risk.
Option D: D is incorrect. Development costs are a project management concern, not the primary AI risk.