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07/02/2023
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
As artificial intelligence plays an increasingly substantial role in dec...
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09/14/2022
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models
Criminal recidivism models are tools that have gained widespread adoptio...
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08/16/2022
Error Parity Fairness: Testing for Group Fairness in Regression Tasks
The applications of Artificial Intelligence (AI) surround decisions on i...
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03/01/2022
System Cards for AI-Based Decision-Making for Public Policy
Decisions in public policy are increasingly being made or assisted by au...
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01/10/2022
Investigating internal migration with network analysis and latent space representations: An application to Turkey
Human migration patterns influence the redistribution of population char...
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03/04/2021
An Agent-Based Modelling Approach to Brain Drain
The phenomenon of brain drain, that is the emigration of highly skilled ...
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01/19/2021
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think
Deep-learning based computer vision models have proved themselves to be ...
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01/18/2021
Alignment and stability of embeddings: measurement and inference improvement
Representation learning (RL) methods learn objects' latent embeddings wh...
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12/09/2020
Extracting the signed backbone of intrinsically dense weighted networks
Networks provide useful tools for analyzing diverse complex systems from...
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01/12/2019