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NEW QUESTION # 240
An IS auditor is reviewing change management documentation of an AI model. Which of the following would pose the GREATEST risk to the model?
Answer: C
Explanation:
In AI development, a "seed" ensures that random processes (like weight initialization) are reproducible. If an A/B test compares two models using different seeds, the auditor cannot tell if the performance difference is due to the model changes or simply due to "random luck" in how the weights were initialized. This invalidates the test results. For a fair "apple-to-apples" comparison, the seed should remain consistent. Tuning on a training set (Option B) is standard, though it risks overfitting; however, the lack of scientific control in testing (Option C) is a more immediate risk to the integrity of the change management process.
NEW QUESTION # 241
What is the MOST important reason government organizations should provide regular AI training programs for all staff?
Answer: D
Explanation:
Government organizations are held to high standards of transparency, fairness, and accountability. Regular AI training ensures that employees remain up-to-date on ethical responsibilities, legal implications, fairness obligations, and responsible AI principles (B). This aligns with AAIA's domain on ethical and legal considerations, which stresses continuous competence-building.
NEW QUESTION # 242
Which of the following evaluation criteria is the HIGHEST priority when auditing an organization ' s management of AI vendors?
Answer: C
Explanation:
When outsourcing AI, the organization retains accountability for the model ' s decisions. The highest priority for an auditor is ensuring " Interpretability " -the ability of the vendor to provide tools or documentation that explain the model ' s rationale. Without this, the organization cannot satisfy regulatory requirements for transparency (e.g., GDPR Right to Explanation) or verify that the vendor ' s model is not biased. While SLOs (Option B) are important for operational uptime, they do not mitigate the ethical or legal risks associated with
" Black Box " algorithms provided by third parties.
NEW QUESTION # 243
Which of the following is MOST important to consider when auditing an organization's AI procedures?
Answer: A
Explanation:
The integrity of data fed into AI systems is a critical concern. The AAIA™ Study Guide emphasizes that validation and filtration processes are essential to mitigate the risk of data poisoning-an attack that can manipulate model behavior by injecting malicious inputs.
"Data poisoning represents a major vulnerability in AI pipelines. Effective controls include robust validation, filtration, and monitoring of training data sources. These preventive practices are essential to ensure model reliability and security." While options A, B, and C are important operational and training measures, only D addresses a technical risk that can directly compromise model outputs and trustworthiness.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "AI Data Integrity and Attack Prevention"
NEW QUESTION # 244
An IS auditor is evaluating a large language model (LLM) before deployment. Which of the following is the MOST secure way to manage agency for the model?
Answer: C
Explanation:
" Agency " refers to the model ' s ability to take actions or access data. LLMs are non-deterministic and can be tricked via " prompt injection " to ignore their internal rules. Therefore, " Authorization and privilege checks " must be performed by a separate, deterministic security layer that is " independent of the LLM. " According to the ISACA AAIA™ Study Guide, you should never allow an AI to decide its own permissions (Option D) or those of other systems. If a user asks an AI to delete a file, the AI should simply " request " the deletion, and a standard, non-AI security system should check if the user has the right to do so. This maintains the " Principle of Least Privilege " and prevents unauthorized actions via model manipulation.
NEW QUESTION # 245
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