- A
Human-on-the-loop
Why wrong: Human-on-the-loop monitors system behavior and can intervene, but decisions are executed automatically unless intervention occurs.
- B
Human-in-command
Why wrong: Human-in-command gives overall control to humans but does not require per-decision review.
- C
Human-in-the-loop
HITL ensures that a human reviews and can override each AI decision before it takes effect.
- D
Automated decision-making without human intervention
Why wrong: This lacks human oversight entirely, which is the opposite of what is desired.
Question 271 of 1,000
AI0-001 AI Governance and Ethics Practice Question
This AI0-001 practice question tests your understanding of ai governance and ethics. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A city government uses an AI system to allocate limited social services resources. To ensure fairness, they want to implement human oversight for high-stakes decisions. Which mechanism allows a human to review and potentially override the AI's decision before it is executed?
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
✓
Human-in-the-loop
Human-in-the-loop (HITL) is the correct mechanism because it requires a human to review and approve or reject the AI's decision before it is executed. This ensures that for high-stakes decisions, such as allocating limited social services, a human can intervene to prevent unfair or erroneous outcomes, directly addressing the fairness requirement.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Human-on-the-loop
Why it's wrong here
Human-on-the-loop monitors system behavior and can intervene, but decisions are executed automatically unless intervention occurs.
- ✗
Human-in-command
Why it's wrong here
Human-in-command gives overall control to humans but does not require per-decision review.
- ✓
Human-in-the-loop
Why this is correct
HITL ensures that a human reviews and can override each AI decision before it takes effect.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Automated decision-making without human intervention
Why it's wrong here
This lacks human oversight entirely, which is the opposite of what is desired.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between 'Human-in-the-loop' (pre-execution review) and 'Human-on-the-loop' (monitoring with automatic execution), leading candidates to confuse the timing of human intervention.
Trap categories for this question
Command / output trap
Human-in-command gives overall control to humans but does not require per-decision review.
Detailed technical explanation
How to think about this question
In practice, Human-in-the-loop architectures often use a 'gating' mechanism where the AI's output is held in a pending state until a human operator explicitly approves or modifies it via a dashboard interface. This is common in domains like loan approvals or medical diagnosis, where regulatory compliance (e.g., GDPR Article 22) mandates meaningful human review for automated decisions that significantly affect individuals. The loop ensures that the AI's recommendation is treated as a suggestion, not a final action.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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AI Governance and Ethics — study guide chapter
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Governance and Ethics — This question tests AI Governance and Ethics — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Human-in-the-loop — Human-in-the-loop (HITL) is the correct mechanism because it requires a human to review and approve or reject the AI's decision before it is executed. This ensures that for high-stakes decisions, such as allocating limited social services, a human can intervene to prevent unfair or erroneous outcomes, directly addressing the fairness requirement.
What should I do if I get this AI0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.
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