Output Interpretation(s) - Production

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Representativeness & Specification > Output Interpretation(s) - Production

Output Interpretation(s) - Production


Document and assess whether Product Outcomes can be clearly, completely and unambiguously interpreted by the non-technical parties and whether these interpretations remain representative of Product Definition(s) and Model inner workings. If not, take measures to ensure that they are as much as is reasonably practical.


To (a) prevent (i) misinterpretation of Product Outcomes, (ii) the application of Products in contexts and/or to Subjects for which their appropriateness and/or quality is unconfirmed, unknown, and/or unsatisfactory, (iii) the intentional and/or unintentional misuse of Product components and Outcomes; and (b) highlight associated risks that might occur in the Product Lifecycle.

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