(Sub)population Outcome Perceptions

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Fairness & Non-Discrimination > (Sub)population Outcome Perceptions

(Sub)population Outcome Perceptions


Document and assess whether scored (Sub)populations would view Model Outcomes as favorable or not, using input from subject matter experts and stakeholders in affected (Sub)populations. Document and assess any divergent views amongst (Sub)populations.


To (a) ensure uniformity in (Sub)population outcome perception, if applicable; (b) highlight Outcome effects for different (Sub)populations; and (c) highlight associated risks that might occur in the Product Lifecycle.

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