AI0-001 AI Governance and Ethics Practice Question
A model's predicted probabilities are well-calibrated overall but the model systematically assigns higher probabilities to one demographic group even when the actual outcome likelihood is the same. Which fairness issue is present?
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
✓
Calibration disparity
Calibration fairness requires that for each predicted probability, the actual outcome rate is the same across groups. The scenario describes a calibration disparity. Demographic parity would involve different selection rates. Equalised odds involves equal error rates. Individual fairness is about treating similar individuals similarly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Demographic parity violation
Why it's wrong here
Demographic parity concerns the proportion of positive outcomes, not the calibration of probabilities.
- ✗
Equalised odds violation
Why it's wrong here
Equalised odds requires equal true positive and false positive rates across groups, but the scenario describes a systematic probability shift without a corresponding difference in actual outcomes—this violates calibration, not equalised odds. It is tempting because equalised odds also addresses group-level fairness, and would be correct if the model’s decision threshold produced disparate error rates for the same outcome likelihood.
- ✓
Calibration disparity
Why this is correct
Calibration disparity occurs when predicted probabilities are not equally reliable across groups, as described.
- ✗
Individual fairness violation
Why it's wrong here
Individual fairness requires similar predictions for similar individuals, not calibration across groups.
Quick reference
RAID Level Comparison
| RAID Level | Min Disks | Fault Tolerance | Read | Write | Usable Capacity |
|---|---|---|---|---|---|
| RAID 0 | 2 | None | Excellent | Excellent | 100% |
| RAID 1 | 2 | 1 disk | Good | Moderate | 50% |
| RAID 5 | 3 | 1 disk | Good | Moderate | 67–94% |
| RAID 6 | 4 | 2 disks | Good | Lower | 50–88% |
| RAID 10 | 4 | 1 disk per mirror | Excellent | Good | 50% |
RAID is not a backup strategy — it protects against disk failure but not against accidental deletion, ransomware, or site-level events.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.