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
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Source code for the ACL workshop paper and Kaggle competition by Google AI team
Repository containing the open source code of works published at the FBK MT unit.
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.
INA's library with pretrained models for gender and age prediction from faces.
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
NamSor API v2 R SDK - classify personal names accurately by gender, country of origin, or ethnicity.
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
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)
The primary goal of this project is to detecting and examining gender bias in news articles
Tools and resources of the paper "Do Neural Ranking Models Intensify Gender Bias?"
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