Positive Outcome Spread

From The Foundation for Best Practices in Machine Learning

Positive Outcome Spread

Control

Document and assess the degree to which Model positive outcomes can be distributed to non-scored (Sub)population, when contextually appropriate. If present, take measures to promote Model Outcome distribution in Model design, exploration, development, and production.


Aim

To (a) ensure the non-prejudicial spread of positive Model Outcomes; and (b) highlight associated risks that might occur in the Product Lifecycle.


Additional Information