Definition
Systematic patterns in an algorithm's outcomes that unfairly disadvantage people or produce distorted judgements because of data, design or deployment choices.
Theoretical Context
Bias can enter through training data, target labels and evaluation metrics. In security applications, misclassification may affect rights, civilian safety and accountability.