AI RESEARCH
Informative Semi-Factuals for XAI: The Elaborated Explanations that People Prefer
arXiv CS.LG
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ArXi:2603.17534v1 Announce Type: cross Recently, in eXplainable AI (XAI), $\textit{even if}$ explanations -- so-called semi-factuals -- have emerged as a popular strategy that explains how a predicted outcome $\textit{can remain the same}$ even when certain input-features are altered. For example, in the commonly-used banking app scenario, a semi-factual explanation could inform customers about better options, other alternatives for their successful application, by saying "$\textit{Even if}$ you asked for double the loan amount, you would still be accepted.