Disparate Impact Testing

From The Foundation for Best Practices in Machine Learning

Disparate Impact Testing

Control

If applicable, test Model(s) for disparate impact. Evaluate whether Model(s) predict a Positive Outcome at the same rate across (Sub)populations.


Aim

To (a) ensure that (Sub)population members are receiving the Positive Outcome as often as their peers; and (b) highlight associated risks that might occur in the Product Lifecycle.


Additional Information