A curated list of awesome Fairness in AI resources

Reading for gender bias

Repository containing the open source code of works published at the FBK MT unit.

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

A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.

Scrape news articles and analyze them using NLP to quantify the gender gap in Canadian mainstream media

Must-read Papers on Gender Bias.

Source code for the ACL workshop paper and Kaggle competition by Google AI team

EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975

INA's library with pretrained models for gender and age prediction from faces.

Voice activity detection and speaker gender segmentation audiovisual corpus

Code for the EMNLP 2021 Oral paper "Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search" https://arxiv.org/abs/2109.05433

A tool to show gender bias in words based on NLP word embeddings from Google News

NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.

BiasFinder | IEEE TSE | Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems

Literature overview: gender bias in natural language processing

Pruning bias from transformers / NAACL 2022

R code and data files associated with: Courchamp & Bradshaw. 2017. 100 papers every ecologist should read. Nature Ecology and Evolution 2: 395-401

The primary goal of this project is to detecting and examining gender bias in news articles

Operations on word vectors - measure similarity using cosine similarity, solve word analogy problems, reduce gender bias in word embedding.

Code and data for the paper "An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models" (Findings of NAACL 2022)

Push back against bias in machine translation

GenderBench - Evaluation suite for gender biases in LLMs

Tools and resources of the paper "Do Neural Ranking Models Intensify Gender Bias?"

Final Project of the Data Science postgraduate class at MDCC/UFC

Measure gender bias in English Wikipedia biographies through text analysis in R

Code for the paper "Challenges in Measuring Bias in Open-Ended Language Generation" presented as oral at the 4th Workshop on Gender Bias in NLP at NAACL 2022.

Open Science Notebook

NamSor API v2 Java SDK - classify personal names accurately by gender, country of origin, or ethnicity.

This repository contains the required codes for reproducing the results in "Gender Bias in Legal Texts and Debiasing It" which is published in Natural Language Engineering journal.