Hi, I was wondering if there's any interest in adding fairness metrics to sklearn. Specifically, I was thinking of implementing the metrics described here:
https://dsapp.uchicago.edu/projects/aequitas/ I recognize that these metrics are extremely simple to calculate, but given that sklearn is the standard machine learning package in python, I think it would be very powerful to explicitly include algorithmic fairness - it would make these methods more accessible and, as a matter of principle, demonstrate that ethics is part of ML and not an afterthought. I would love to hear the groups' thoughts and if there's interest in such a feature. Thanks! Josh
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
