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AI Risk Program ManagementhardMultiple SelectObjective-mapped

AAIR AI Risk Program Management Practice Question

Which THREE factors should be considered when assessing the 'Risk Level' of an AI application?

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

The sensitivity of the input data.

Criticality of the decision, the nature of the data involved, and the potential impact on individuals are the standard pillars of AI risk assessment.

Answer analysis

Option-by-option breakdown

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

  • The sensitivity of the input data.

    Why this is correct

    Data sensitivity directly correlates to privacy and regulatory risk.

  • The criticality of the decision-making process being automated.

    Why this is correct

    Automated critical decisions carry higher inherent risk than advisory tasks.

  • The complexity of the neural network architecture.

    Why it's wrong here

    Architecture complexity is a technical detail, not a primary determinant of risk level.

  • The potential impact on human rights and individual safety.

    Why this is correct

    High impact on individuals increases risk level significantly.

  • The color scheme of the user interface.

    Why it's wrong here

    UI design has no impact on the underlying AI risk.

About these practice questions

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JA

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

This AAIR practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AAIR exam.