ImageForgeryFairness

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

R package for computing and visualizing fair ML metrics

Demographic Bias of Vision-Language Foundation Models in Medical Imaging

Social and Ethical Issues in Information Technology - material and project

Detecting bias in ML models using heat maps

Base on deep learning implementation of collaborative filtering, enhance fairness in terms of closing performance gap across users from different subgroups of gender and age

Teaching material for bachelor course at Arcada

Demonstrates the use of bias mitigation algorithms from IBM's AIF360 toolkit.

Affevtive Bias in Large Pre-trained Language Models