algorithmic-fairness

Conformalized Quantile Regression

📊 R package for computing and visualizing fair ML metrics

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

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

Situation testing for discrimination analysis with counterfactual comparators — research code for the paper 'Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing'

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

[Science Advances] Demographic Bias of Vision-Language Foundation Models in Medical Imaging

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.

Fair search elasticsearch plugin

A School for All Seasons on Trustworthy Machine Learning

Graduate course on fairness and collective decision-making in AI: measuring bias, social choice theory, and the economics and democratic stakes of automated decisions.

FairER: Entity Resolution with Fairness Constraints

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

Replication code for: Persistent Racial Disparities in U.S. Mortgage Approval - Evidence from 42 Million HMDA Applications, 2020-2024. 14.95pp raw gap; 68% unexplained by observables. Under review at Journal of Housing Economics.

Analyzing Adversarial Bias and the Robustness of Fair Machine Learning

Ethnic bias analysis in medical imaging AI: Demonstrating that explainable-by-design models achieve 80% bias reduction across 5 ethnic groups (50k images)

UC Berkeley Human Contexts & Ethics Public Materials

Disparate Exposure in Learning To Rank for Python

[FAccT '25] Characterizing Bias: Benchmarking LLMs in Simplified versus Traditional Chinese