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20192026
most citedKeep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

24 citations · 109 across the 28 of their papers we have counts for

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Showing 2023 · cs.AIShow all

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cs.AI2023★ 5 cited

For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI

Ulrike Kuhl, André Artelt, Barbara Hammer

Counterfactual explanations (CFEs) are a popular approach in explainable artificial intelligence (xAI), highlighting changes to input data necessary for altering a model's output.…