- A
Human-in-command approach
Why wrong: Human-in-command is a broader concept; HITL is the specific mechanism mandated.
- B
Human-in-the-loop (HITL) mechanism
Article 14 requires human oversight, and HITL ensures that a human can intervene or reverse decisions.
- C
Human-on-the-loop oversight
Why wrong: Human-on-the-loop is a form of oversight but not the specific requirement; HITL is more explicit for high-risk systems.
- D
Automated decision-making without human review
Why wrong: High-risk systems require human oversight, so fully automated decisions without review are prohibited.
Question 494 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 company deploys an AI system for loan approvals. The EU AI Act classifies this as high-risk. Which human oversight requirement applies?
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 (HITL) mechanism
The EU AI Act requires human-in-the-loop (HITL) oversight for high-risk AI systems like loan approval, meaning a human must be able to intervene and override the system's decisions during operation. This ensures that automated decisions can be reviewed and corrected in real-time, preventing fully autonomous outcomes in critical areas such as credit scoring.
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-in-command approach
Why it's wrong here
Human-in-command is a broader concept; HITL is the specific mechanism mandated.
- ✓
Human-in-the-loop (HITL) mechanism
Why this is correct
Article 14 requires human oversight, and HITL ensures that a human can intervene or reverse decisions.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Human-on-the-loop oversight
Why it's wrong here
Human-on-the-loop is a form of oversight but not the specific requirement; HITL is more explicit for high-risk systems.
- ✗
Automated decision-making without human review
Why it's wrong here
High-risk systems require human oversight, so fully automated decisions without review are prohibited.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between 'human-in-the-loop' (direct intervention during operation) and 'human-on-the-loop' (monitoring after the fact), leading candidates to confuse the two for high-risk systems where real-time override is mandatory.
Trap categories for this question
Command / output trap
Human-in-command is a broader concept; HITL is the specific mechanism mandated.
Detailed technical explanation
How to think about this question
Under the EU AI Act, high-risk systems must implement a human-in-the-loop mechanism that allows a human to stop, reverse, or modify the system's output before it takes effect. In practice, this often involves a 'stop button' or approval workflow integrated into the AI's decision pipeline, ensuring that the human operator has both the authority and the technical means to intervene at any point during the system's operation. Real-world scenarios, such as a loan application being flagged for unusual patterns, require the human to review the AI's reasoning and either confirm or override the decision to comply with regulatory fairness standards.
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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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 (HITL) mechanism — The EU AI Act requires human-in-the-loop (HITL) oversight for high-risk AI systems like loan approval, meaning a human must be able to intervene and override the system's decisions during operation. This ensures that automated decisions can be reviewed and corrected in real-time, preventing fully autonomous outcomes in critical areas such as credit scoring.
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
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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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