bias-detection

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Curated list of open source tooling for data-centric AI on unstructured data.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

To help public defenders better serve their clients, Open Sentencing shows racial bias in data such as demographics providing insights for each case

Jurity: Fairness & Evaluation Library

Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)

Official repository for the paper "ALERT: A Comprehensive Benchmark for Assessing Large Language Models’ Safety through Red Teaming"

Perspective analyzes your news or social feed and presents credible counter-narratives from reliable sources—helping you think critically, reduce bias, and see the full picture. Don’t settle for one-sided stories. Get complete, nuanced facts.

Learning to Split for Automatic Bias Detection

Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.

Tools for diagnostics and assessment of (machine learning) models

Structured pruning, knowledge distillation, and fairness analysis for Large Language Models.

This repository contains name-to-ethnicity classifier 'n2e' available on PyPI.

Multi-Calibration & Multi-Accuracy Boosting for R

A curated list of Robust Machine Learning papers/articles and recent advancements.

Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"

👚 Speedy Word Embedding Association Test & Extras using R

Lightweight ML bias detection toolkit