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…

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

Fair Embedding Engine

🤗 Disaggregators: Curated data labelers for in-depth analysis.

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image …

The Foundation Model Transparency Index

A curated list of awesome responsible machine learning resources.