Question 14 of 506
Ethical Considerations of AIhardMultiple SelectObjective-mapped

Quick Answer

The answer is that the three essential components are an ethics board for oversight, impact assessments to identify risks, and clear accountability for AI outcomes. These elements form the backbone of an AI ethics governance framework because they ensure that AI systems are continuously monitored for bias and harm, potential negative consequences are evaluated before deployment, and a specific person or team is responsible for the system’s decisions. On the Salesforce AI Associate exam, this question tests your understanding that governance is about proactive control, not reactive fixes; a common trap is choosing “minimizing human oversight” or “only focusing on accuracy,” which violate the core principle of responsible AI. Remember the mnemonic “OAR” — Oversight, Assessment, Responsibility — to recall that ethical governance requires all three pillars working together.

AI Associate Ethical Considerations of AI Practice Question

This AI Associate practice question tests your understanding of ethical considerations of ai. 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 components are essential for an ethical AI governance framework within a large enterprise?

Question 1hardmulti select
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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

Establish a cross-functional AI ethics board.

Options A, B, and C are correct. An ethics board provides oversight, impact assessments identify risks, and accountability ensures responsibility. Minimizing human oversight (D) contradicts governance. Only focusing on accuracy (E) neglects other ethical dimensions.

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.

  • Establish a cross-functional AI ethics board.

    Why this is correct

    An ethics board brings diverse perspectives to guide AI development and use.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Conduct regular ethical impact assessments.

    Why this is correct

    Assessments help identify and mitigate potential harms before deployment.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Define clear accountability for AI outcomes.

    Why this is correct

    Assigning responsibility ensures there are owners for ethical performance.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Minimize human oversight to reduce operational costs.

    Why it's wrong here

    Human oversight is critical for catching errors and biased decisions.

  • Optimize for accuracy as the primary goal.

    Why it's wrong here

    Ethical AI considers fairness, privacy, and transparency, not just accuracy.

Common exam traps

Common exam trap: answer the scenario, not the keyword

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

How to think about this question

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.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 AI Associate 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 AI Associate 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.

Related practice questions

Related AI Associate practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this AI Associate question test?

Ethical Considerations of AI — This question tests Ethical Considerations of AI — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Establish a cross-functional AI ethics board. — Options A, B, and C are correct. An ethics board provides oversight, impact assessments identify risks, and accountability ensures responsibility. Minimizing human oversight (D) contradicts governance. Only focusing on accuracy (E) neglects other ethical dimensions.

What should I do if I get this AI Associate question wrong?

Identify which AI Associate 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.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Same concept, more angles

1 more ways this is tested on AI Associate

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 TWO components are essential for an AI ethics governance framework?

hard
  • A.Using the most recent algorithms
  • B.Maximizing data collection
  • C.Assigning an ethics officer
  • D.Conducting regular audits
  • E.Establishing a code of ethics

Why D: Option A is correct because a code of ethics provides foundational principles. Option D is correct because regular audits ensure ongoing compliance. Option B is wrong while helpful, not always considered essential. Option C is wrong using the latest algorithms is not an ethics component. Option E is wrong maximizing data collection contradicts ethical principles like privacy.

Last reviewed: Jun 23, 2026

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This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.