II.
SkillArea overview
Reference · liveskill-area:bias-fairness-testing
Bias and Fairness Testing overview
Evaluating model behavior across populations or slices - disparate impact, harm analysis, fairness metrics, and mitigation verification.
Attributes
displayName
Bias and Fairness Testing
description
Evaluating model behavior across populations or slices - disparate impact,
harm analysis, fairness metrics, and mitigation verification.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:data-science·DomainData Science
- domain:ml-ops·DomainMLOps
requires_skill_area1
- skill-area:model-validation-testing·SkillAreaModel Validation Testing
Incoming edges
lib_requires_skill_area1
- lib-skill:data-science-ml--fairlearn-bias-detector·LibrarySkillfairlearn-bias-detector
prerequisite_for_learning1
- skill-area:machine-learning·SkillAreaMachine Learning
requires_skill_area1
- skill-area:bias-fairness-analysis·SkillAreaBias and Fairness Analysis