A face database with a large number of high-quality attribute annotations

This is an open-source tool to assess and improve the trustworthiness of AI systems.

Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.

Julia Toolkit with fairness metrics and bias mitigation algorithms

Structured pruning and bias visualization for Large Language Models. Tools for LLM optimization and fairness analysis.

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

Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)

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

CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

Mitigating ML bias in gravitational-wave detection pipelines

individual Fair Nonnegative Matrix Tri-Factorization

[ICCV 2023] Partition-and-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts

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

Research POC on the mitigation of bias in large language models (FLAN-T5 and Bloomz) through fine-tuning.

Enforcing fairness in binary and multiclass classification

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

Explainable AI & fashion talk & experiments

Code repository for paper: Fairness-Aware Data Augmentation for Cardiac MRI using Text-Conditioned Diffusion Models