Fairness Testing of Outcomes
Focus fairness testing initially on outcomes that are immediately experienced by (Sub)populations. For example, if a model uses a series of sub-Models to generate a score and a threshold is applied to that score to determine an Outcome, focus on Fairness issues related to that Outcome. If issues are identified, then diagnose the issue by moving "up-the-chain" and testing the Model score and sub-Models.
To (a) ensure that the testing performed best reflects what will happen when Models are deployed in the real world; and (b) highlight associated risks that might occur in the Product Lifecycle.