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AI Risk Governance And Framework IntegrationhardMultiple ChoiceObjective-mapped

AAIR AI Risk Governance And Framework Integration Practice Question

In the context of AI model risk management, what is the role of an 'AI Model Inventory' within the governance framework?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

To track model metadata, risk ratings, and owners for oversight and audit purposes.

An inventory is the foundational requirement for knowing what models exist, their criticality, and their risk profile.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • To track model metadata, risk ratings, and owners for oversight and audit purposes.

    Why this is correct

    An inventory provides the visibility necessary for effective governance and audit.

  • To store the actual training data sets for backup.

    Why it's wrong here

    Model inventories track metadata; data repositories store the data itself.

  • To limit the number of AI developers in the company.

    Why it's wrong here

    An inventory is for risk tracking, not HR or staff control.

  • To serve as a marketing catalog for external clients.

    Why it's wrong here

    The inventory is an internal risk tool, not a sales tool.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official ISACA exam blueprint

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