Question 198 of 506

Ethical Considerations of AI →hardMultiple ChoiceObjective-mapped

Quick Answer

The answer is lack of transparency. This is the most critical ethical risk because the policy explicitly states “explainability: none,” meaning the AI system provides no reasoning for its decisions, which violates the core principle of transparency in AI systems. Without explainability, users cannot understand, trust, or challenge automated outcomes, leading to potential unfairness and loss of accountability. On the Salesforce AI Associate exam, this question tests your ability to identify ethical risks from a policy statement, often using a table or exhibit that lists attributes like accuracy, privacy, or performance as distractors. A common trap is to assume accuracy or data privacy is the biggest risk, but the exam emphasizes that a lack of transparency—especially when explicitly noted—is the most fundamental ethical concern because it undermines user trust and regulatory compliance. Memory tip: if you see “explainability: none,” immediately flag it as a transparency failure.

AI Associate Ethical Considerations of AI Practice Question

This AI Associate practice question tests your understanding of ethical considerations of ai. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.

Exhibit

{
  "aiPolicy": {
    "fairnessChecks": false,
    "explainability": "none",
    "humanOversight": false
  }
}

Refer to the exhibit. A company uses this policy for a customer-facing AI model. What is the most critical ethical risk?

Question 1hardmultiple choice

Full question →

Exhibit

{
  "aiPolicy": {
    "fairnessChecks": false,
    "explainability": "none",
    "humanOversight": false
  }
}

A
Performance
Why wrong: Performance is not defined in the policy; ethical risk is about fairness and transparency.
B
Data privacy
Why wrong: The policy does not address data privacy; it focuses on fairness, explainability, and oversight.
C
Model accuracy
Why wrong: Accuracy is not mentioned in the policy; it is a performance metric, not an ethical risk.
D
Lack of transparency
With explainability set to none, users cannot understand how decisions are made, violating transparency.

Full breakdown with real-world context →

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

✓

Lack of transparency

Option B is correct because lack of transparency (explainability: none) makes it impossible for users to understand or challenge decisions, which is a major ethical risk. Option A is wrong because accuracy is not indicated in the policy. Option C is wrong while data privacy is important, the policy does not mention privacy settings. Option D is wrong performance is not addressed.

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.

✗
Performance
Why it's wrong here
Performance is not defined in the policy; ethical risk is about fairness and transparency.
✗
Data privacy
Why it's wrong here
The policy does not address data privacy; it focuses on fairness, explainability, and oversight.
✗
Model accuracy
Why it's wrong here
Accuracy is not mentioned in the policy; it is a performance metric, not an ethical risk.
✓
Lack of transparency
Why this is correct
With explainability set to none, users cannot understand how decisions are made, violating transparency.
Related concept
Read the scenario before looking for a memorised answer.

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.

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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: Lack of transparency — Option B is correct because lack of transparency (explainability: none) makes it impossible for users to understand or challenge decisions, which is a major ethical risk. Option A is wrong because accuracy is not indicated in the policy. Option C is wrong while data privacy is important, the policy does not mention privacy settings. Option D is wrong performance is not addressed.

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

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 →

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Same concept, more angles

2 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. A company deploys an Einstein AI model that recommends products to customers. To ensure transparency, what should the company include in the customer-facing interface?

medium

A.A statement that each recommendation is personally selected by a human expert.
B.A simple label 'AI-generated' without further explanation.
C.A complete list of all features used by the model.
✓ D.A brief note that recommendations are generated by AI, along with a way to get more information about why a product was suggested.

Why D: Option B is correct because informing customers that AI is used and explaining how recommendations are generated aligns with transparency. Option A is wrong as it gives too much detail. Option C is wrong because not all recommendations need to be explained per se, but the system's behavior should be transparent. Option D is wrong because a simple 'AI-generated' note is insufficient.

Variation 2. A company is deploying an AI system that makes recommendations to users. To ensure ethical use, they should:

hard

✓ A.Allow users to opt out and understand how decisions are made.
B.Make recommendations without oversight.
C.Maximize engagement regardless of user well-being.
D.Use only internal data.

Why A: Option A is correct because allowing users to opt out and understanding decisions respects autonomy and transparency. Option B is wrong maximizing engagement without regard to well-being is unethical. Option C is wrong lack of oversight can lead to harmful outcomes. Option D is wrong using only internal data may not be sufficient and could raise privacy concerns.

Last reviewed: Jun 23, 2026

Question Discussion

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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.