Feature Selection Fairness Review

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Fairness & Non-Discrimination > Feature Selection Fairness Review

Feature Selection Fairness Review

Control

Evaluate the impact of removing or modifying potentially problematic input Features on Fairness metrics and Model quality.


Aim

To (a) assess whether more fair alternative Models can be made that fulfill Model objectives; and (b) highlight associated risks that might occur in the Product Lifecycle.


Additional Information