AI0-001 AI Governance and Ethics Practice Question
A company is deploying an AI system that screens job applications. According to the EU AI Act, this system is likely classified as high-risk because it affects employment opportunities. Which requirement must the company implement for high-risk AI systems?
⚠ Common exam trap
AI0-001 often tests the specific requirements for high-risk AI systems, and candidates may confuse GDPR consent requirements with EU AI Act obligations, or think transparency means publishing source code.
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
✓
A human-in-the-loop mechanism that enables override of the AI's decisions
Under the EU AI Act, high-risk AI systems must implement appropriate human oversight measures, including human-in-the-loop mechanisms that allow humans to override or intervene in the AI's decisions. This is a key requirement to ensure accountability and prevent harm in critical areas like employment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
A human-in-the-loop mechanism that enables override of the AI's decisions
Why this is correct
High-risk AI systems under the EU AI Act require human oversight, so a human-in-the-loop mechanism allowing override of screening decisions satisfies this. It ensures employment outcomes remain subject to meaningful human review rather than automated determination.
- ✗
Full transparency by publishing the model's source code and training data
Why it's wrong here
Publishing source code and training data is not an EU AI Act requirement for high-risk systems; that obligation concerns GPAI models, not employment screening. High-risk providers must instead implement risk management, technical documentation, logging, human oversight and conformity assessment. Transparency here means informing affected persons, not open-sourcing proprietary models.
- ✗
Annual third-party audits of the model's energy consumption
Why it's wrong here
Energy-consumption audits address environmental impact, not the EU AI Act's high-risk requirements of risk management, data governance, technical documentation, logging, transparency, human oversight and conformity assessment. It is tempting because sustainability auditing is topical, but it does not satisfy the Act's high-risk obligations.
- ✗
Obtaining explicit consent from each applicant to process their data
Why it's wrong here
Explicit consent is a GDPR data-processing condition, not an EU AI Act high-risk obligation; the Act instead requires risk management, technical documentation, logging, human oversight and conformity assessment. It is tempting because consent feels protective, but consent alone does not satisfy the high-risk regime.
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 September 2026 · checked against the official CompTIA exam blueprint
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.