AI Associate Ethical Considerations of AI Practice Question
An AI system used for medical diagnosis has been shown to have lower accuracy for certain ethnic groups. The development team is considering releasing it anyway because most patients are from the majority group. Which ethical principle is most compromised?
⚠ Common exam trap
Salesforce often tests fairness by presenting a scenario where a model performs well overall but has known disparities for a subgroup, tempting candidates to choose transparency or accountability because they focus on the team's decision to release rather than the core ethical violation of unequal treatment.
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
✓
Fairness
The scenario describes an AI system that performs worse for certain ethnic groups, yet the team plans to release it anyway because the majority group is unaffected. This directly violates the principle of fairness, which requires that AI systems do not discriminate or perpetuate bias against any group. Releasing a model with known accuracy disparities without mitigation prioritizes overall performance over equitable treatment, compromising fairness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Transparency
Why it's wrong here
Transparency is about explaining decisions, not performance equity.
- ✓
Fairness
Why this is correct
Unequal performance across groups violates fairness.
- ✗
Accountability
Why it's wrong here
Accountability is about who is responsible, not the ethical breach itself.
- ✗
Privacy
Why it's wrong here
Privacy is not directly related to group performance disparity.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.