Product Risk Classification Portfolio

From The Foundation for Best Practices in Machine Learning

Product Risk Classification Portfolio

Control

Data Science Managers, Product Owners, Business Stakeholders and, when relevant, Product employees ought to collectively document and interrogate - (a) Product Definitions; and (b) Product design, development, and implementation - to identify Product based-risks and assign Product risk values and classifications.


Aim

To ensure Products have clear risk portfolios to warrant (a) their effective oversight, management and execution, as well as (b) to allow for the accurate evaluation of Product risks and controls.


Additional Information