39 citations · 43 across the 4 of their papers we have counts for
5 papers
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…
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…
Marrying Fairness and Explainability in Supervised Learning
Przemyslaw Grabowicz, Nicholas Perello, Aarshee Mishra
Machine learning algorithms that aid human decision-making may inadvertently discriminate against certain protected groups. We formalize direct discrimination as a direct causal ef…
On Optimizing Interventions in Shared Autonomy
Weihao Tan, David Koleczek, Siddhant Pradhan +7
Shared autonomy refers to approaches for enabling an autonomous agent to collaborate with a human with the aim of improving human performance. However, besides improving performanc…
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…