Search Results for author: Dieter Brughmans

Found 3 papers, 1 papers with code

Unveiling the Potential of Counterfactuals Explanations in Employability

no code implementations17 May 2023 Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans, David Martens

In eXplainable Artificial Intelligence (XAI), counterfactual explanations are known to give simple, short, and comprehensible justifications for complex model decisions.

counterfactual Explainable artificial intelligence +1

Disagreement amongst counterfactual explanations: How transparency can be deceptive

no code implementations25 Apr 2023 Dieter Brughmans, Lissa Melis, David Martens

Even though in some contexts multiple possible explanations are beneficial, there are circumstances where diversity amongst counterfactual explanations results in a potential disagreement problem among stakeholders.

counterfactual Decision Making +2

NICE: An Algorithm for Nearest Instance Counterfactual Explanations

3 code implementations15 Apr 2021 Dieter Brughmans, Pieter Leyman, David Martens

We propose four versions of NICE, one without optimization and, three which optimize the explanations for one of the following properties: sparsity, proximity or plausibility.

counterfactual

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