Counterfactual Explanations in AI: A Tension between ‘Causality’ and ‘Plausibility’
Abstract: Making AI explainable has become an increasingly urgent demand, and one of the popular approaches is to generate so-called counterfactual explanations. In this talk, I attempt a philosophical critique of the key aspects of this approach, and raise an important challenge arising from a tension between two constraints on a good counterfactual explanation in […]
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