9 citations · 12 across the 5 of their papers we have counts for
6 papers
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
Arpit Merchant, Carlos Castillo
Graph neural networks (GNNs) are increasingly used in critical human applications for predicting node labels in attributed graphs. Their ability to aggregate features from nodes' n…
Fairness and Diversity in Information Access Systems
Lorenzo Porcaro, Carlos Castillo, Emilia Gómez +1
Among the seven key requirements to achieve trustworthy AI proposed by the High-Level Expert Group on Artificial Intelligence (AI-HLEG) established by the European Commission (EC),…
Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias
David Solans, Andrea Beretta, Manuel Portela +2
Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. This paper describes a series of experiments designed to observe huma…
A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment
Manuel Portela, Carlos Castillo, Songül Tolan +2
In this paper, we study the effects of using an algorithm-based risk assessment instrument to support the prediction of risk of criminalrecidivism. The instrument we use in our exp…
Poisoning Attacks on Algorithmic Fairness
David Solans, Battista Biggio, Carlos Castillo
Research in adversarial machine learning has shown how the performance of machine learning models can be seriously compromised by injecting even a small fraction of poisoning point…
Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions
David Solans, Christopher Tauchmann, Aideen Farrell +4
Artificial Intelligence (AI) and its relation with societies is increasingly becoming an interesting object of study from the perspective of sociology and other disciplines. Theori…