FairML is a python toolbox auditing the machine learning models for bias.


Predictive models are increasingly been deployed for the purpose of determining access to services such as credit, insurance, and employment. Despite societal gains in efficiency and productivity through deployment of these models, potential systemic flaws have not been fully addressed, particularly the potential for unintentional discrimination.

Official website

Tutorial and documentation

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