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?
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 requires risk management, data governance, transparency, human oversight, accuracy, and robustness for high-risk AI. However, it does not require publishing the full source code; only documentation and model cards may be required.
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
Data governance requirements mandate data quality and representativeness.
- ✓
Publish the complete source code of the AI system
Why this is correct
The EU AI Act does not require open-sourcing proprietary code; it requires transparency documentation, not source code publication.
- ✗
Establish a risk management system
Why it's wrong here
Risk management is a core requirement for high-risk AI systems.
- ✗
Provide human oversight mechanisms
Why it's wrong here
Human oversight is required for high-risk systems to allow override.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.