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Meili Gupta's Projects

327pset6 icon 327pset6

CPSC 327 Pset 6 with Meili and Anjali Gupta

fixing-ai-bias-using-proxy-pivots icon fixing-ai-bias-using-proxy-pivots

The project investigates multiple hypotheses on using proxy-pivots in bias fixing machine learning methods. This method principally involves generating a fake “protected” class using the K-Means algorithm on the non-protected data to use as training data. This avoids using protected class data as input. The authors tested various variables and features, such as: the number of classes generated for the proxy-pivot, hyperparameters, and the weight feature lambda. We also tested training on multiple versus single proxy pivots and on different protected class features.

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