Product Decision-Making Policy

From The Foundation for Best Practices in Machine Learning

Product Decision-Making Policy


A Policy which promotes Product decision-making clarity in - (a) Product Definitions and Product design, development, and implementation; (b) data processing; (c) Model design, development, training, and output; and (d) consideration for the Product Risk Classification Portfolio ought to be derived by Data Science Managers and approved by the Managerial Committee.


To ensure Product decisions - (a) are based on all available information, inclusive of those derived from Policies and Procedures of this document; (b) follow from and are aligned with the Product Lifecycle and Workflow Description; and (c) are made with reasonable care to avoid cognitive bias.

Additional Information