There are 3 repositories under algorithmic-bias topic.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
Computational Social Science Project: "Algorithmic Bias in Echo Chamber Formation".
[MLHC 2020] Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts (Jabbour, Fouhey, Kazerooni, Sjoding, Wiens). https://arxiv.org/abs/2009.10132
Analyzing clinical decision instruments through the lens of data and large language models.
Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions on Fairness, Accuracy and Population groups
Workshop with readings and exercises on the politics of tech.
FairBook: A Reproducibility Study on The Unfairness of Popularity Bias in Book Recommendation (Bias@ECIR 2022)
Social and Ethical Issues in Information Technology - material and project
Affevtive Bias in Large Pre-trained Language Models
Exercise repository for Algorithmic Fairness, Accountability and Ethics (Spring 2022), IT University of Copenhagen
Fairness in Digital Image Forgery Detection System
Automated tool to evaluate Twitter saliency filter algorithmic bias