📝 Exploring data-driven affirmative action policies for university admissions
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Updated
Feb 19, 2022 - Python
📝 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
Implementation of Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Fairness in Digital Image Forgery Detection System
Official Implementation of the paper "Fair Generalized Linear Models with a Convex Penalty."
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
Core algorithms used to do fair search. This algorithm are exposed through the Elasticsearch and Solr plugins.
AI flub ups
A super-quick demo to start discussions on bias in Finnish BERT language model
Deliverables relating to the Ethics in Artificial Intelligence & Intelligent Interfaces University Units
📝 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
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
Disparate Exposure in Learning To Rank for Java
📝 Exploring the gradual (in)compatibility of the fairness metrics independence, separation and sufficiency.
Implementation of debiasing algorithm in "Debiasing Representations by Removing Unwanted Variation Due to Protected Attributes" on ProPublica's COMPAS data set
Code implementation for BiasMitigationRL, a reinforcement learning-based bias mitigation method.
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