- A
All members from the legal department
Why wrong: Legal focuses on compliance, not broader ethics.
- B
IT department head and data scientists
Why wrong: Lacks ethical training and independence.
- C
Mix of internal stakeholders and external ethicists
Ensures independence and diverse expertise.
- D
Only senior executives from the company
Why wrong: Executives may have conflicts of interest and lack ethics expertise.
Question 983 of 1,000
AI Ethics Board Composition
This AI0-001 practice question tests your understanding of ai security, ethics and governance. 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.
An organization wants to implement an AI ethics board. Which composition best ensures independence and expertise?
Quick Answer
The answer is a mix of internal stakeholders and external ethicists, as this composition best ensures independence and expertise in an AI ethics board. External ethicists provide an unbiased, objective perspective grounded in ethical theory, while internal stakeholders contribute operational knowledge of the organization’s workflows, data, and business constraints. On the CompTIA AI+ AI0-001 exam, this question tests your understanding of governance structures that prevent conflicts of interest—a common trap is choosing an all-executive or all-legal board, which sacrifices either independence or ethical depth. Remember that effective AI oversight requires both internal context and external objectivity to avoid groupthink. A useful memory tip: think “Insiders for insight, outsiders for oversight.”
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
✓
Mix of internal stakeholders and external ethicists
Option C is correct because an AI ethics board must combine internal stakeholders (who understand organizational context, data flows, and operational constraints) with external ethicists (who provide independent, unbiased perspectives and specialized knowledge of ethical frameworks like IEEE Ethically Aligned Design or the EU AI Act). This composition ensures the board can evaluate AI systems for bias, fairness, and transparency without being dominated by business or technical interests, which is critical for maintaining trust and regulatory compliance.
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.
- ✗
All members from the legal department
Why it's wrong here
Legal focuses on compliance, not broader ethics.
- ✗
IT department head and data scientists
Why it's wrong here
Lacks ethical training and independence.
- ✓
Mix of internal stakeholders and external ethicists
Why this is correct
Ensures independence and diverse expertise.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Only senior executives from the company
Why it's wrong here
Executives may have conflicts of interest and lack ethics expertise.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that technical expertise alone (Option B) is sufficient for AI ethics governance, but the trap is that independence and multidisciplinary perspectives are explicitly required to avoid conflicts of interest and ensure comprehensive ethical evaluation.
Detailed technical explanation
How to think about this question
In practice, an AI ethics board often uses a structured review process aligned with frameworks like the NIST AI Risk Management Framework, where external ethicists perform independent audits of model cards and bias reports. A real-world scenario is a healthcare AI system for diagnosis: internal stakeholders provide clinical workflow context, while external ethicists ensure the model does not perpetuate racial or socioeconomic disparities, a subtle behavior that pure technical teams might miss due to confirmation bias.
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 Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Mix of internal stakeholders and external ethicists — Option C is correct because an AI ethics board must combine internal stakeholders (who understand organizational context, data flows, and operational constraints) with external ethicists (who provide independent, unbiased perspectives and specialized knowledge of ethical frameworks like IEEE Ethically Aligned Design or the EU AI Act). This composition ensures the board can evaluate AI systems for bias, fairness, and transparency without being dominated by business or technical interests, which is critical for maintaining trust and regulatory compliance.
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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on AI0-001
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. What is the primary function of an AI ethics board within an organization?
easy- A.Developing algorithms
- B.Managing cloud infrastructure
- C.Marketing AI products
- ✓ D.Reviewing AI projects for ethical compliance
Why D: The primary function of an AI ethics board is to review AI projects for ethical compliance, ensuring that the organization's AI systems adhere to established ethical principles, legal standards, and governance frameworks. This board typically assesses risks related to bias, fairness, transparency, and accountability before deployment, rather than engaging in technical development or operational tasks.
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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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