Appropriate Fairness Metrics

From The Foundation for Best Practices in Machine Learning

Appropriate Fairness Metrics


Consult Domain experts to inform which Fairness metrics are contextually most appropriate for the Model when conducting Fairness testing.


To (a) ensure that fairness testing and subsequent Model changes (i) result in outcome changes which are relevant for (Sub)populations; and/or (ii) are consistent with regulatory guidance and context-specific best practices; and (b) highlight associated risks that might occur in the Product Lifecycle.

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