Model Implications

From The Foundation for Best Practices in Machine Learning
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Technical Best Practices > Fairness & Non-Discrimination > Model Implications

Model Implications

Control

Document and assess the downside risks of Model misclassification/inaccuracy for modeled populations. Use the relative severity of these risks to inform the choice of Fairness metrics.


Aim

To (a) ensure that improving in the chosen Fairness metrics achieves the greatest Fairness in Model decisioning after deployed; and (b) highlight associated risks that might occur in the Product Lifecycle.


Additional Information