Courseiva
AI Risk Program ManagementeasyMultiple ChoiceObjective-mapped

AAIR AI Risk Program Management Practice Question

In the context of AI risk management, what does the 'Human-in-the-Loop' (HITL) concept primarily aim to achieve?

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 maintain accountability and oversight for AI-driven decisions.

HITL ensures that human judgment and ethics remain integrated into high-risk AI decision processes to prevent unmonitored failures.

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 reduce the cost of model development.

    Why it's wrong here

    HITL can be expensive and is not a cost-saving measure.

  • To maintain accountability and oversight for AI-driven decisions.

    Why this is correct

    HITL is designed to provide oversight and accountability for critical decisions.

  • To increase the speed of model inference.

    Why it's wrong here

    HITL usually slows down the process, it does not increase speed.

  • To automate the labeling of training data.

    Why it's wrong here

    Human-in-the-loop is for decision oversight, not data annotation tasks.

About these practice questions

One of 199 original AAIR practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.