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.
A company is developing an AI system to assist with hiring. Which TWO practices are essential for ethical AI deployment?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Conduct regular bias audits on model predictions
Option C is correct because regular bias audits are a core ethical practice for AI systems, especially in hiring. These audits involve systematically testing the model's predictions across demographic groups to detect and mitigate unintended discrimination, ensuring compliance with fairness standards like the EEOC's Uniform Guidelines on Employee Selection Procedures.
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.
✗
Optimize the system for speed to reduce waiting times
Why it's wrong here
Speed is a performance metric, not an ethical consideration.
✗
Remove all demographic features to ensure fairness
Why it's wrong here
Removing features does not eliminate bias; proxies may remain.
✓
Conduct regular bias audits on model predictions
Why this is correct
Audits help detect and mitigate discriminatory outcomes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Maximize accuracy on historical hiring data
Why it's wrong here
Historical data may be biased, so maximizing accuracy propagates bias.
✓
Obtain informed consent from applicants if their data is used
Why this is correct
Consent is a fundamental ethical requirement for data use.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the misconception that removing demographic features (Option B) is sufficient to eliminate bias, when in fact proxy variables and model behavior must be actively monitored through audits (Option C).
Detailed technical explanation
How to think about this question
Bias audits often involve computing metrics like demographic parity (equal selection rates across groups) or equalized odds (equal false positive/negative rates). Under the hood, these audits may use techniques like adversarial debiasing or reweighing training samples to adjust for imbalances. A real-world scenario: Amazon's scrapped AI recruiting tool exhibited gender bias because it was trained on historical resumes, which were predominantly male; regular bias audits could have detected this 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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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 — 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: Conduct regular bias audits on model predictions — Option C is correct because regular bias audits are a core ethical practice for AI systems, especially in hiring. These audits involve systematically testing the model's predictions across demographic groups to detect and mitigate unintended discrimination, ensuring compliance with fairness standards like the EEOC's Uniform Guidelines on Employee Selection Procedures.
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.
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Question Discussion
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