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

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