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 financial institution uses an AI system to approve loan applications. The system denies loans to applicants from certain postal codes at a higher rate. The model includes 'postal code' as a feature. Which ethical consideration is most directly violated?
Fairness
Disparate impact based on postal code violates fairness principles.
Privacy
Why wrong: Privacy is about data protection, not discriminatory impact.
Accountability
Why wrong: Accountability is about oversight, not the specific ethical breach.
Transparency
Why wrong: Transparency relates to model interpretability, not the unfair outcome.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Fairness
The AI system's use of 'postal code' as a feature leads to disparate impact on applicants from certain areas, directly violating the ethical principle of fairness. Fairness requires that AI models do not discriminate against protected groups or perpetuate systemic biases, even if the feature itself is not a protected attribute. By denying loans at a higher rate based on postal code, the system is likely engaging in proxy discrimination, which is a core fairness violation.
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.
Fairness
Why this is correct
Disparate impact based on postal code violates fairness principles.
Related concept
Read the scenario before looking for a memorised answer.
Privacy
Why it's wrong here
Privacy is about data protection, not discriminatory impact.
Accountability
Why it's wrong here
Accountability is about oversight, not the specific ethical breach.
Transparency
Why it's wrong here
Transparency relates to model interpretability, not the unfair outcome.
Common exam traps
Salesforce often tests the distinction between fairness and transparency, where candidates mistakenly choose transparency because they think the model's use of postal code is 'hidden' or not explainable, but the core violation is the discriminatory outcome, not the lack of explanation.
Detailed technical explanation
Under the hood, fairness violations often arise from 'redundant encodings' where a non-protected feature (like postal code) correlates strongly with protected attributes (e.g., race or socioeconomic status). Techniques like disparate impact analysis (e.g., the 80% rule) or counterfactual fairness metrics are used to detect such biases. In real-world lending, the Equal Credit Opportunity Act (ECOA) in the US prohibits discrimination based on race, color, religion, national origin, sex, marital status, age, or receipt of public assistance, and using postal code as a proxy can violate this regulation.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Ethical Considerations of AI — This question tests Ethical Considerations of AI — Read the scenario before looking for a memorised answer..
The correct answer is: Fairness — The AI system's use of 'postal code' as a feature leads to disparate impact on applicants from certain areas, directly violating the ethical principle of fairness. Fairness requires that AI models do not discriminate against protected groups or perpetuate systemic biases, even if the feature itself is not a protected attribute. By denying loans at a higher rate based on postal code, the system is likely engaging in proxy discrimination, which is a core fairness violation.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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