activity
20202025
most citedKeep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

24 citations · 57 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.AI2023

Toward enriched Cognitive Learning with XAI

Muhammad Suffian, Ulrike Kuhl, Jose M. Alonso-Moral +1

As computational systems supported by artificial intelligence (AI) techniques continue to play an increasingly pivotal role in making high-stakes recommendations and decisions acro…

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.…