Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence 2023
DOI: 10.24963/ijcai.2023/43
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Choose your Data Wisely: A Framework for Semantic Counterfactuals

Abstract: Counterfactual explanations have been argued to be one of the most intuitive forms of explanation. They are typically defined as a minimal set of edits on a given data sample that, when applied, changes the output of a model on that sample. However, a minimal set of edits is not always clear and understandable to an end-user, as it could constitute an adversarial example (which is indistinguishable from the original data sample to an end-user). Instead, there are recent ideas that the notion of minimality in t… Show more

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