3 papers
cs.CY2026
Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
Warren Buckley, Adrian Byrne, Nicholas Perello +4
We propose that future AI transparency and accountability regulations are based on an open global standard for exchanging information about AI systems, which allows co-existence of…
cs.LG2026
Learning from Discriminatory Training Data
Przemyslaw A. Grabowicz, Nicholas Perello, Kenta Takatsu
Supervised learning systems are trained using historical data and, if the data was tainted by discrimination, they may unintentionally learn to discriminate against protected group…
cs.LG2024
Simple Steps to Success: A Method for Step-Based Counterfactual Explanations
Jenny Hamer, Nicholas Perello, Jake Valladares +2
Algorithmic recourse is a process that leverages counterfactual explanations, going beyond understanding why a system produced a given classification, to providing a user with acti…