Bias

Systematic differences in model behavior or error rates that correlate with particular features, groups, or contexts. Bias is not limited to interactions with humans; it reflects the degree to which the distribution of features in training data matches the distribution in production. A model trained primarily on certain populations, document types, or scenarios will perform differently on others. In regulated contexts, bias testing and mitigation records are used to assess compliance posture.