Conformalized Quantile Regression

[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)

R package for computing and visualizing fair ML metrics

[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020

Python library with the core algorithms used to do FA*IR ranking.

Demographic Bias of Vision-Language Foundation Models in Medical Imaging

Fair search elasticsearch plugin

A School for All Seasons on Trustworthy Machine Learning

FairER: Entity Resolution with Fairness Constraints

Analyzing Adversarial Bias and the Robustness of Fair Machine Learning

Disparate Exposure in Learning To Rank for Python

Code implementation for BiasMitigationRL, a reinforcement learning-based bias mitigation method.

Implementation of debiasing algorithm in "Debiasing Representations by Removing Unwanted Variation Due to Protected Attributes" on ProPublica's COMPAS data set

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

Disparate Exposure in Learning To Rank for Java

📝 Exploring the gradual (in)compatibility of the fairness metrics independence, separation and sufficiency.

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.