Product Validation

From The Foundation for Best Practices in Machine Learning
Organisation Best Practices > Product Validation
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Product Validation

Objective
To autonomously and impartially validate Products, Models and their outputs.
Item nr. Item Name and Page Control Aim
6.1. Validation Department

The Organisation ought to have a department that is independent of Data Science Managers and Product Teams who validate Products.

To validate Product compliance, ethics, and performance.

6.2. Validation Policy

A Policy detailing the responsibilities of the Validation Department and the requirements for Products to be Validated ought to be derived by the Managerial Committee.

To ensure the validity of Organisation Machine Learning.

6.3. Validation Procedures

The Validation Department should develop and implement a set of Procedures to operationalise the Validation Policy within the Organisation.

To validate Product compliance, Ethics, and performance within the Organisation.

6.4. Review of the Validation Policy

The Validation Policy should be reviewed periodically, or if significant changes occur, by the Managerial Committee to ensure its continued effectiveness, suitability, and accuracy.

To ensure that the Validation Policy is kept up-to-date.

6.5. Review of Product Validation Procedures

Product Validation Procedures should be reviewed periodically, or if significant changes occur, by the Validation Department to ensure their continued effectiveness, suitability, and accuracy.

To ensure that Product Validation Procedures are kept up-to-date.