In this liveProject, you’ll use the open-source AI Fairness 360 toolkit from IBM to measure and mitigate bias with model preprocessing. You will chart bias metrics on a basic classifier, before preprocessing your training data with the “reweighing” method. Reweighing seeks to mitigate bias by making modifications on the training data by computing and applying a set of weights. The weights are calculated such that the training data, with weights applied, is free of discrimination with respect to a protected attribute. Once your model is preprocessed, you’ll construct a classifier that makes use of the data.
This project is designed for learning purposes and is not a complete, production-ready application or solution.