AI0-001 AI Security, Ethics and Governance Practice Question
Which TWO are key requirements for AI governance under the EU AI Act for high-risk AI systems? (Choose two.)
⚠ Common exam trap
The AI0-001 exam often tests the distinction between general best practices (like performance benchmarks) and specific regulatory mandates (like human oversight and transparency), leading candidates to select familiar but non-required options such as regular performance benchmarks.
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 oversight
The EU AI Act mandates that high-risk AI systems must incorporate human oversight mechanisms to ensure that humans can intervene or override the system's decisions when necessary. This requirement is designed to prevent or minimize risks to health, safety, and fundamental rights, and it is a core governance obligation under Article 14 of the Act.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Regular performance benchmarks
Why it's wrong here
Not a specific requirement.
- ✓
Human oversight
Why this is correct
Required for high-risk AI systems.
- ✗
Open-source licensing
Why it's wrong here
Not a requirement.
- ✓
Transparency and documentation
Why this is correct
Required for high-risk systems.
- ✗
Mandatory use of cloud
Why it's wrong here
Not mandated.
About these practice questions
One of 754 original AI0-001 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.