- A
Use the AI model as the sole decision-maker.
Why wrong: Sole reliance on AI can be unfair.
- B
Regularly audit the model for adverse impact.
Auditing detects bias.
- C
Use all available data including protected attributes.
Why wrong: Using protected attributes may cause bias.
- D
Incorporate human review for high-stakes decisions.
Human oversight ensures fairness.
- E
Ignore adverse impact if the model is accurate.
Why wrong: Accuracy does not justify adverse impact.
Question 111 of 1,000
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 TWO practices are recommended when using AI for automated decision-making in hiring?
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
✓
Regularly audit the model for adverse impact.
Option B is correct because regular auditing for adverse impact is a core ethical practice to detect and mitigate bias in AI-driven hiring systems. Audits involve statistical analysis (e.g., the four-fifths rule from the Uniform Guidelines on Employee Selection Procedures) to compare selection rates across protected groups, ensuring the model does not disproportionately disadvantage certain demographics.
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.
- ✗
Use the AI model as the sole decision-maker.
Why it's wrong here
Sole reliance on AI can be unfair.
- ✓
Regularly audit the model for adverse impact.
Why this is correct
Auditing detects bias.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use all available data including protected attributes.
Why it's wrong here
Using protected attributes may cause bias.
- ✓
Incorporate human review for high-stakes decisions.
Why this is correct
Human oversight ensures fairness.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Ignore adverse impact if the model is accurate.
Why it's wrong here
Accuracy does not justify adverse impact.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the misconception that model accuracy alone justifies automated decisions, tempting candidates to pick 'Ignore adverse impact if the model is accurate' (Option E) without recognizing that fairness and ethical compliance are separate, non-negotiable requirements.
Detailed technical explanation
How to think about this question
Under the hood, adverse impact audits often use the 'four-fifths rule' (80% rule) from the EEOC's Uniform Guidelines, where a selection rate for a protected group less than 80% of the group with the highest rate indicates potential discrimination. Real-world scenarios, such as Amazon's scrapped AI recruiting tool, show that models trained on historical data can learn biased patterns (e.g., penalizing resumes containing 'women's' words), and only systematic auditing can catch such subtle, systemic biases before deployment.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Ethical Considerations of AI — study guide chapter
Learn the concepts, then practise the questions
- →
Ethical Considerations of AI practice questions
Targeted practice on this topic area only
- →
All AI Associate questions
1,000 questions across all exam domains
- →
Salesforce AI Associate AI Associate study guide
Full concept coverage aligned to exam objectives
- →
AI Associate practice test guide
How to use practice tests most effectively before exam day
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.
Ethical AI and Data Privacy practice questions
Practise AI Associate questions linked to Ethical AI and Data Privacy.
Salesforce Einstein AI Features practice questions
Practise AI Associate questions linked to Salesforce Einstein AI Features.
AI Fundamentals practice questions
Practise AI Associate questions linked to AI Fundamentals.
AI Capabilities in CRM practice questions
Practise AI Associate questions linked to AI Capabilities in CRM.
Ethical Considerations of AI practice questions
Practise AI Associate questions linked to Ethical Considerations of AI.
Data for AI practice questions
Practise AI Associate questions linked to Data for AI.
AI Associate fundamentals practice questions
Practise AI Associate questions linked to AI Associate fundamentals.
AI Associate scenario practice questions
Practise AI Associate questions linked to AI Associate scenario.
AI Associate troubleshooting practice questions
Practise AI Associate questions linked to AI Associate troubleshooting.
Practice this exam
Start a free AI Associate practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Regularly audit the model for adverse impact. — Option B is correct because regular auditing for adverse impact is a core ethical practice to detect and mitigate bias in AI-driven hiring systems. Audits involve statistical analysis (e.g., the four-fifths rule from the Uniform Guidelines on Employee Selection Procedures) to compare selection rates across protected groups, ensuring the model does not disproportionately disadvantage certain demographics.
What should I do if I get this AI Associate 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 →
Keep practising
More AI Associate practice questions
- An admin wants to compare the AI-generated forecast with a rep's commit forecast to identify gaps. Which feature should…
- A Salesforce admin implements Einstein Bots for customer service. To ensure the bot does not use biased language, what s…
- Which Einstein feature provides automated statistical analysis of Salesforce data, including story creation and improvem…
- A sales operations team wants to improve forecast accuracy by using AI. They currently use manual rollups. Which TWO Ein…
- A sales rep wants to generate a personalized email to a prospect using AI. Which Einstein GPT feature should they use?
- A healthcare company uses Einstein Prediction Builder to predict patient no-shows. After training a model, they receive…
Last reviewed: Jun 30, 2026
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.