Quick Answer
The answer is fairness, transparency, and accountability. These three are the core principles of AI ethics because they directly address the moral and governance concerns of AI systems: fairness prevents algorithmic bias, transparency ensures decisions can be understood and audited, and accountability establishes clear responsibility for outcomes. On the CompTIA AI+ AI0-001 exam, this question tests your ability to distinguish ethical guardrails from technical performance metrics—a common trap is confusing scalability or latency, which are about system speed and capacity, with ethics. To remember the trio, think of the acronym FTA: Fairness, Transparency, Accountability—these are the pillars that keep AI trustworthy, not just fast.
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.
Which THREE of the following are key principles of AI ethics as defined by major frameworks?
Transparency
Transparency is about openness in AI systems' workings and decisions.
Scalability
Why wrong: Scalability is a technical requirement, not an ethical principle.
Accountability
Accountability means taking responsibility for AI system outcomes.
Latency
Why wrong: Latency is a performance measure, not ethics.
Fairness
Fairness ensures unbiased and equitable outcomes.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Transparency
Transparency, fairness, and accountability are core principles across many AI ethics frameworks. Scalability and latency are technical performance metrics, not ethics.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Transparency
Why this is correct
Transparency is about openness in AI systems' workings and decisions.
Related concept
Read the scenario before looking for a memorised answer.
Scalability
Why it's wrong here
Scalability is a technical requirement, not an ethical principle.
Accountability
Why this is correct
Accountability means taking responsibility for AI system outcomes.
Related concept
Read the scenario before looking for a memorised answer.
Latency
Why it's wrong here
Latency is a performance measure, not ethics.
Fairness
Why this is correct
Fairness ensures unbiased and equitable outcomes.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
AI Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — Read the scenario before looking for a memorised answer..
The correct answer is: Transparency — Transparency, fairness, and accountability are core principles across many AI ethics frameworks. Scalability and latency are technical performance metrics, not ethics.
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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
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. Which THREE of the following are key principles of trustworthy AI as defined by major regulatory bodies?
mediumWhy A: Options A, C, and D are correct. Accountability, fairness, and transparency are core principles. Option B is wrong because maximum profitability is not an ethical principle. Option E is wrong because proprietary secrecy conflicts with transparency.
Last reviewed: Jun 23, 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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