A curated list of awesome Fairness in AI resources
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Updated
Sep 15, 2023
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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).
A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.
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
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
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
BiasFinder | IEEE TSE | Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems
Literature overview: gender bias in natural language processing
A tool to show gender bias in words based on NLP word embeddings from Google News
Pruning bias from transformers / NAACL 2022
The primary goal of this project is to detecting and examining gender bias in news articles
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.
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