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
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Updated
Jan 26, 2024 - Python
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
📝 Exploring data-driven affirmative action policies for university admissions
This project aims to understand the algorithmic bias in the corrections system through analyzing the COMPAS dataset.
Exercise repository for Algorithmic Fairness, Accountability and Ethics (Spring 2022), IT University of Copenhagen
Core algorithms used to do fair search. This algorithm are exposed through the Elasticsearch and Solr plugins.
📝 Exploring the gradual (in)compatibility of the fairness metrics independence, separation and sufficiency.
A super-quick demo to start discussions on bias in Finnish BERT language model
📝 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
Deliverables relating to the Ethics in Artificial Intelligence & Intelligent Interfaces University Units
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
AI flub ups
Analyzing Adversarial Bias and the Robustness of Fair Machine Learning
A School for All Seasons on Trustworthy Machine Learning
Implementation of Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Official Implementation of the paper "Fair Generalized Linear Models with a Convex Penalty."
Fairness in Digital Image Forgery Detection System
Implementation of debiasing algorithm in "Debiasing Representations by Removing Unwanted Variation Due to Protected Attributes" on ProPublica's COMPAS data set
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