AI Associate Ethical Considerations of AI Practice Question
An AI system used for recruitment has been found to be biased. Which THREE steps should be taken to address this? (Choose three.)
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
✓
Audit the training data for bias
Auditing training data, retraining with balanced data, and monitoring outcomes are essential corrective actions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy the model without changes
Why it's wrong here
Deploying a biased model is unacceptable.
- ✓
Audit the training data for bias
Why this is correct
Correct. Auditing identifies sources of bias.
- ✓
Retrain the model with a balanced dataset
Why this is correct
Correct. Retraining helps reduce bias.
- ✗
Remove demographic data from the model
Why it's wrong here
Removing data may not solve bias; it could mask the issue.
- ✓
Monitor outcomes for disparate impact
Why this is correct
Correct. Monitoring ensures ongoing fairness.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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