Toolkit for semi-automated modelcard creation for AI/ML models.

A Python package to assess and improve fairness of machine learning models.

Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Tensorflow's Fairness Evaluation and Visualization Toolkit

SSA is a post-hoc explanation method by stereotypes and counter-stereotypes to assess social bias in hate speech classifiers

An algorithm based on causal model that generates rules while ensuring fairness and coverage

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

Enforcing fairness in binary and multiclass classification

Gender Bias in Word Embeddings Trained on Movie Review Corpora

A python package for multicalibration post-processing.

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Fairness-Aware Team Formation

Code for the definition and testing of three new fairness-aware algorithms: Fair Decision Tree, Fair Genetic Pruning, and Fair LightGBM (FDT, FGP, FLGBM), completed for my Master's thesis.

Quantum faireness verifying algorithm based on calculating Lipschitz constant, an implementaion of paper: https://arxiv.org/pdf/2207.11173.pdf💿

Multi-Calibration & Multi-Accuracy Boosting for R

Official implementation of our AISTATS 2023 paper "FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery".

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

A Python package for mitigating bias in tabular data.

ML Testing for Everyone. Find issues before they become problems.