AIF360 swMATH ID: 33037 Software Authors: Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang Description: AIF360: AI Fairness 360 Open Source Toolkit. This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. Containing over 70 fairness metrics and 10 state-of-the-art bias mitigation algorithms developed by the research community, it is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education. We invite you to use it and improve it. Homepage: https://aif360.mybluemix.net Source Code: https://github.com/ibm/aif360 Related Software: Scikit; AI Explainability 360; InterpretML; TensorFlow; H2O; modelStudio; DALEX; shap; Python; KFServing; ART; Katib; Jupyter; Kubernetes; Elyra; CLAIMED; Plotly; Arena; NumPy; Fairlearn Cited in: 4 Documents all top 5 Cited by 11 Authors 1 Calmon, Flavio P. 1 Caton, Simon 1 Detyniecki, Marcin 1 Grari, Vincent 1 Haas, Christian 1 Lamprier, Sylvain 1 Malisetty, Saiteja 1 Meinshausen, Nicolai 1 Plečko, Drago 1 Ramamurthy, Karthikeyan Natesan 1 Wei, Dennis Cited in 3 Serials 2 Journal of Machine Learning Research (JMLR) 1 Machine Learning 1 The Journal of Artificial Intelligence Research (JAIR) Cited in 1 Field 4 Computer science (68-XX) Citations by Year