Machine Learning Engineer
hardmachine-learning-engineer-fairness-bias
How do you measure and mitigate bias in deployed ML systems?
Answer
Bias mitigation starts with measurement.
Steps:
- Evaluate metrics across groups
- Audit data collection and labels
- Add constraints or reweighting
- Monitor fairness over time
Document decisions and involve stakeholders. Fairness is an ongoing process, not a one-time test.
Related Topics
FairnessGovernanceMLOps