Training Data
The examples a model learns from — the single biggest determinant of what it can and cannot do.
Training data is the corpus used to fit a model’s parameters. Its coverage sets the model’s ceiling: gaps, errors, and skew in the data reappear as gaps, errors, and bias in the outputs. Under the EU AI Act, training data has a formal definition and, for high-risk systems, governance obligations attached.
In practice: A hiring model trained mostly on past hires from one demographic will reproduce that pattern.
Where this comes up
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