59 citations · 184 across the 23 of their papers we have counts for
Showing 2020Show all
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cs.LG2020★ 6 cited
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny, Mark T. Keane
There is a growing concern that the recent progress made in AI, especially regarding the predictive competence of deep learning models, will be undermined by a failure to properly…
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…
cs.LG2020
Instance-based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
In recent years, there has been a rapidly expanding focus on explaining the predictions made by black-box AI systems that handle image and tabular data. However, considerably less…