Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
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Updated
Aug 27, 2024 - Python
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
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
Deliverables relating to the Ethics in Artificial Intelligence & Intelligent Interfaces University Units
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
FairER: Entity Resolution with Fairness Constraints
Fairness in Digital Image Forgery Detection System
Code implementation for BiasMitigationRL, a reinforcement learning-based bias mitigation method.
AI flub ups
Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
R package for computing and visualizing fair ML metrics
📝 Implementation of our approach for balancing the utility of the decision maker and the fairness towards the decision subjects for a prediction-based decision-making system
Fair search elasticsearch plugin
Official Implementation of the paper "Fair Generalized Linear Models with a Convex Penalty."
This project aims to understand the algorithmic bias in the corrections system through analyzing the COMPAS dataset.
[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
Exercise repository for Algorithmic Fairness, Accountability and Ethics (Spring 2022), IT University of Copenhagen
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