5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Navigating Global AI Regulation: A Multi-Jurisdictional Retrieval-Augmented Generation System
Courtney Ford, Ojas Rane, Susan Leavy
Navigating AI regulation across jurisdictions is increasingly difficult for policymakers, legal professionals, and researchers. To address this, we present a multi-jurisdictional R…
cs.AI2025
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions
Courtney Ford, Mark T. Keane
Explainable AI (XAI) methods often struggle to generate clear, interpretable outputs for users without domain expertise. We introduce Feature-Guided Neighbor Selection (FGNS), a po…
cs.LG2020★ 5 cited
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier
Courtney Ford, Eoin M. Kenny, Mark T. Keane
This paper reports two experiments (N=349) on the impact of post hoc explanations by example and error rates on peoples perceptions of a black box classifier. Both experiments show…