Trusted-AI/AIF360

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.

PythonRJavapythonmachine-learningraideep-learningartificial-intelligencebiasfairnessbias-finderibm-researchdiscriminationbias-correctionibm-research-aibias-reductionfairness-testingbias-detectioncodaitfairness-awareness-modelfairness-aitrusted-ai
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AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Python and R. The AI Fairness 360 package includes a comprehensive set of metrics for datasets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in datasets and models. It...
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