Fairlearn swMATH ID: 36560 Software Authors: S. Bird, M. Dud ́ık, R. Edgar, B. Horn, R. Lutz, V. Milan, M. Sameki, H. Wallach, K. Walker Description: Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system’s fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as a Jupyter widget for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage. Homepage: https://fairlearn.github.io Source Code: https://github.com/fairlearn/fairlearn Dependencies: Python Related Software: XGBoost; NumPy; Scikit; LightGBM; modelStudio; DALEX; TensorFlow; PDPbox; AI Explainability 360; H2O; dalex; GitHub; plotly.py; Aequitas; iNNvestigate; Plotly; Arena; InterpretML; AIF360; Alibi Cited in: 1 Document Cited by 5 Authors 1 Baniecki, Hubert 1 Biecek, Przemysław 1 Kretowicz, Wojciech 1 Piątyszek, Piotr 1 Wiśniewski, Jakub Cited in 1 Serial 1 Journal of Machine Learning Research (JMLR) Cited in 1 Field 1 Computer science (68-XX) Citations by Year