Fairness Assessments

From The Foundation for Best Practices in Machine Learning

Fairness Assessments

Control

Products should regularly complete Fairness assessments according to Product Lifecycle and Workflow Descriptions to the extent that is reasonably practical. Assessment findings ought to be documented by the Product Team and reviewed by Data Science Managers and, when relevant, the Management Committee.


Aim

To analyse, test, and report the risks identified with, and measures taken to ensure, Product Fairness and non-discrimination at regular intervals within the Product Lifecycle and Workflow Description.


Additional Information