A curated list of awesome Fairness in AI resources

Reading for gender bias

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

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

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

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

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

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

Must-read Papers on Gender Bias.

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

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

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

Literature overview: gender bias in natural language processing

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

Pruning bias from transformers / NAACL 2022

Voice activity detection and speaker gender segmentation audiovisual corpus

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

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

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)