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researcher

Courtney Ford

University College Dublin

3 papers hereh-index 3243 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.LG1
affiliations
  • University College Dublin

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedPlay MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier

5 citations · 5 across the 3 of their papers we have counts for

collaborators

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…

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