Explaining black-box classifiers using \textit{post-hoc} explanations-by-example: the effect of explanations and error-rates in XAI user studies

DOI10.1016/J.ARTINT.2021.103459OpenAlexW3121787084MaRDI QIDQ2238633

Courtney Ford, Molly Quinn, Mark T. Keane, Eoin M. Kenny

Publication date: 2 November 2021

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2021.103459

zbMATH Keywords

trustcase-based reasoningdeep learningconvolutional neural network\(k\)-nearest neighboursexplainable AIfactual explanationuser testing

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Uses Software

• MNIST
• shap

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