AI0-001 AI Governance and Ethics Practice Question
An organisation is deploying an AI system for credit scoring, which is considered high-risk under the EU AI Act. Which requirement is NOT typically mandated for high-risk systems?
⚠ Common exam trap
The trap is assuming that transparency under the EU AI Act means publishing source code; candidates may confuse transparency with open-source requirements.
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
✓
Publish the complete source code of the AI system
The EU AI Act mandates several requirements for high-risk AI systems, including risk management, data governance (relevant and representative training data), technical documentation, transparency, human oversight, and accuracy/robustness. Publishing the complete source code is not a typical requirement; the Act focuses on transparency and documentation, not open-sourcing proprietary code. Therefore, option B is the requirement that is NOT typically mandated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ensure training data is relevant and representative
Why it's wrong here
Relevant, representative training data is mandated for high-risk systems through data governance duties, so it is not the exception. It is tempting because data quality feels like general good practice rather than a legal obligation, yet the Act requires training, validation and testing datasets to be relevant and sufficiently representative.
- ✓
Publish the complete source code of the AI system
Why this is correct
The EU AI Act mandates risk management, data governance, technical documentation, logging, human oversight and accuracy, but not source code publication. Releasing complete source code is a transparency choice, not a legal obligation, so it is not typically required for high-risk systems.
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Establish a risk management system
Why it's wrong here
A risk management system is expressly required for high-risk AI under the EU AI Act, so it is not the exception. It is tempting because risk management sounds like generic governance, but Article 9 mandates a continuous, iterative risk management process across the system's lifecycle, making this a core obligation.
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Provide human oversight mechanisms
Why it's wrong here
Human oversight is explicitly mandated for high-risk AI systems under the EU AI Act, so it is not the exception sought. It is tempting because oversight sounds optional or aspirational, yet Article 14 requires effective human oversight across the system's lifecycle, making this a genuine requirement rather than an absent one.
About these practice questions
This AI0-001 question is part of Courseiva's 962-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.