AI Associate Ethical Considerations of AI Practice Question
Exhibit
Accuracy by group: - Group Alpha: 0.95 - Group Beta: 0.70 - Group Gamma: 0.93 - Group Delta: 0.91
Refer to the exhibit. An AI model's accuracy is shown for four demographic groups. Which group should be investigated for potential bias?
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
✓
Group Beta
Group Beta has significantly lower accuracy, indicating possible bias or underperformance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Group Beta
Why this is correct
Correct. The low accuracy suggests bias issues.
- ✗
Group Alpha
Why it's wrong here
Accuracy is high at 0.95.
- ✗
Group Gamma
Why it's wrong here
Accuracy is 0.93, similar to others.
- ✗
Group Delta
Why it's wrong here
Accuracy is 0.91, not unusual.
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JA
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.