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Saugat Aryal

2 accepted papers

2024

Semi-factual Explanations in AI

AAAI 2024technical

Most of the recent works on post-hoc example-based eXplainable AI (XAI) methods revolves around employing counterfactual explanations to provide justification of the predictions made by AI systems. Counterfactuals show what changes to the input-features change the output decision. However, a lesser-…

Cited by 4SourcePDFScholar
2023

Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI

IJCAI 2023poster

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”). Counterfactuals explain what changes to th…