A curated list of awesome Fairness in AI resources
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Updated
Sep 15, 2023
A curated list of awesome Fairness in AI resources
Reading for gender bias
Scrape news articles and analyze them using NLP to quantify the gender gap in Canadian mainstream media
INA's library with pretrained models for gender and age prediction from faces.
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.
Code for the experiment described in the article, "Does gender stereotype threat in gamified educational environments cause anxiety? An experimental study."
Source code for the ACL workshop paper and Kaggle competition by Google AI team
BiasFinder | IEEE TSE | Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems
A tool to show gender bias in words based on NLP word embeddings from Google News
Tools and resources of the paper "Do Neural Ranking Models Intensify Gender Bias?"
NamSor API v2 Ruby SDK - classify personal names accurately by gender, country of origin, or ethnicity.
EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
This is files for me undergraduate thesis on detecting gender bias in Bangladeshi newspapers.
NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.
Operations on word vectors - measure similarity using cosine similarity, solve word analogy problems, reduce gender bias in word embedding.
Measure gender bias in English Wikipedia biographies through text analysis in R
Analysis of employment levels changes with time in the United States using data from gapminder.org.
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