algorithmic-fairness

Conformalized Quantile Regression

Fairness metrics for any classification or segmentation model (pip install fairmedfm) and a fairness benchmark of medical imaging foundation models.

[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

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

Case study on evaluating statistical tools that predict recidivism.

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.

Analyzing Adversarial Bias and the Robustness of Fair Machine Learning

Replication code for: Persistent Racial Disparities in U.S. Mortgage Approval (42M HMDA applications, 2020-2024). 14.95 pp raw Black-White gap; 68% unexplained by observables. Under review, Journal of Housing Economics.

UC Berkeley Human Contexts & Ethics Public Materials

Disparate Exposure in Learning To Rank for Python