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NEW QUESTION # 170
An IS auditor is auditing an AI system that predicts inventory needs. The system recently failed to predict a stock outage for a key product. Which of the following audit tests would BEST validate the system's accuracy?
Answer: C
NEW QUESTION # 171
When an IS auditor uses generative AI with external RAG (retrieval-augmented generation) to gather evidence during an audit, which of the following poses the GREATEST data security risk?
Answer: D
Explanation:
The GREATEST risk is thatsensitive internal contentmay be embedded in AI prompts and sent to an external system (A), exposing confidential or regulated information. Retrieval-augmented generation often involves sending queries or embeddings to third-party APIs, creating a significantdata leakagerisk if internal context is included.
Option B deals with training-data leakage, which is notable but less immediate. Option C is irrelevant to the core risk. Option D concerns operational reliability, not security. In AAIA, protection of internal audit evidence and sensitive data is paramount, and theprimary threat is external disclosure through prompts.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Data Protection, AI Privacy Risks.
NEW QUESTION # 172
An IS auditor is interviewing management about implemented controls around machine learning (ML) models deployed in the production environment. Which of the following schedules for reviewing the performance of a deployed model would be of GREATEST concern to the auditor?
Answer: B
Explanation:
Only reviewing an ML model's performance one time prior to migrating to production (option C) is of greatest concern. The AAIATM Study Guide emphasizes that "AI and ML models require continuous monitoring and periodic performance reviews in production to detect issues such as data drift, model degradation, or evolving risk factors." A single pre-production review fails to capture these changes and risks, potentially resulting in undetected failures or compliance issues.
Periodic (including annual) and event-driven reviews are necessary to ensure ongoing model reliability.
NEW QUESTION # 173
An organization is adopting AI for its procurement and inventory teams, raising concern from stakeholders that they will lose their jobs due to AI. Which of the following is the BEST way for the IS auditor to assess whether the potential negative impacts were minimized?
Answer: D
NEW QUESTION # 174
An organization is developing an AI system that integrates data from multiple external sources without clearly defined data ownership policies. Which of the following is the GREATEST concern in this situation?
Answer: D
Explanation:
When integrating data from multiple external sources, uncleardata ownershipdirectly affects accountability for privacy, consent, retention, and lawful processing. This createsgaps in AI privacy compliance and accountability(option D), which is the greatest concern because violations can lead to regulatory sanctions, litigation, and serious reputational damage. AAIA's governance and risk domain emphasizesprivacy and data governance programs, including clear roles, responsibilities, and ownership.
Option A is important but relates more to accuracy and performance validation, not the foundational legal and accountability issues. Option B (access permissions) is a control issue but usually easier to remediate once ownership and responsibilities are clarified. Option C (dependence on automated data collection/cleansing) can introduce quality risks but does not directly resolve or define who is accountable. Thus, the primary risk is the lack of clear privacy and accountability structures across external data sources.
References:
ISACA,AAIA Exam Content Outline- Domain 1: Privacy and Data Governance Programs (data governance, privacy considerations).
ISACA guidance on AI governance, roles, responsibilities, and accountability for data use.
NEW QUESTION # 175
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