Data Subjectivity

From The Foundation for Best Practices in Machine Learning
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Data Subjectivity[edit]

Control

Document and assess whether the Model dataset(s) contain subjective components. If subjective components are present, take measures to handle or avoid subjectivity risks in Product and/or Model design as much as is reasonably practical.


Aim

To (a) assess and control for the accuracy of the specification of Model inputs, manipulations, Outcomes, and interpretations to ensure the unambiguous applicability of Model(s) in Product Domain(s); and (b) highlight associated risks that might occur in the Product Lifecycle.


Additional Information[edit]