A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Python code for training fair logistic regression classifiers.

⚖️ Fair ML in credit scoring: Assessment, implementation and profit implications

New emotional mnemonic discrimination task

Some @scikit-learn compatible tools to address fairness issues in classification problems.

Statistical analysis of features able to discriminate between low and high grade brain tumor H&E images

Optimal transport discrimination-free pricing - Lindholm marginalisation, causal path decomposition, Wasserstein barycenter, FCA EP25/2 compliance (145 tests)

Proxy discrimination auditing for UK insurance pricing models. FCA Consumer Duty compliance, Equality Act 2010, exposure-weighted fairness metrics.

Proxy discrimination auditing for insurance pricing — FCA EP25/2, Consumer Duty, bias metrics