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Training Data Governance: Quality, Provenance, and Bias
A machine learning model is a compression of its training data — and the biases, legal risks, and failure modes embedded in that data become the model's. This article explains the QPB framework for assessing training data quality, provenance, and bias before any model reaches production.
7 min
Article
A machine learning model is a compression of its training data — and the biases, legal risks, and failure modes embedded in that data become the model's. This article explains the QPB framework for assessing training data quality, provenance, and bias before any model reaches production.
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