To ensure the ethical and responsible use of AI, which of the following AI usage policy metrics is MOST important for an organization to monitor?
Answer(s): A
The number of reported policy violations is the most important metric because it directly reflects whether AI is being used ethically and responsibly in practice, highlighting real-world noncompliance, risk exposure, and areas requiring immediate corrective action.
When evaluating a new AI tool for intrusion prevention, which of the following is the MOST important consideration to ensure the tool fits within the existing program architecture?
Answer(s): C
Confirming that the tool’s capabilities align with the organization’s control objectives ensures the AI intrusion prevention tool fits within the existing program architecture, supports intended security outcomes, and integrates coherently with governance, risk, and control frameworks rather than creating misalignment or redundant controls.
Which of the following testing techniques is BEST for determining how an AI model makes decisions?
White box testing provides full visibility into the internal logic, structure, and decision pathways of the AI model, making it the most effective technique for understanding how and why the model arrives at specific decisions.
A data scientist creating categories and training the algorithm on large data sets is an example of which of the following types of AI model learning techniques?
Supervised learning involves creating predefined categories (labels) and training the algorithm on large data sets where the correct outputs are known, allowing the model to learn mappings between inputs and labeled outcomes.
Which of the following BEST addresses risk associated with hallucinations in AI systems?
Human oversight is the most effective way to address hallucination risk because it ensures that AI-generated outputs are reviewed, validated, and corrected before being relied upon, particularly in high-impact or sensitive use cases.
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