Additional Material

Reading

Auditing paper

Model-Agnostic Interpretability of Machine Learning

https://christophm.github.io/interpretable-ml-book/

https://www.oreilly.com/ideas/ideas-oninterpreting-machine-learning

Tools

https://pair-code.github.io/what-if-tool/

https://github.com/marcotcr/lime

https://github.com/microsoft/interpret

https://github.com/slundberg/shap