fairness

A library that implements fairness-aware machine learning algorithms

A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.

List of references about Machine Learning bias and ethics

Demographic Bias of Vision-Language Foundation Models in Medical Imaging

Base on deep learning implementation of collaborative filtering, enhance fairness in terms of closing performance gap across users from different subgroups of gender and age

Fairness in Digital Image Forgery Detection System

A Frisch-Waugh-Lovell inspired algorithm to mitigate potential discrimination on protected class features in supervised ML