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Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
Recently, counterfactuals using "if-only" explanations have become very popular in eXplainable AI (XAI), as they describe which changes to feature-inputs of a black-box AI system result in changes to a (usually negative) decision-outcome.
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
Recently, eXplainable AI (XAI) research has focused on counterfactual explanations as post-hoc justifications for AI-system decisions (e. g. a customer refused a loan might be told: If you asked for a loan with a shorter term, it would have been approved).
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