Concisely Explaining the Doubt: Minimum-Size Abductive Explanations for Linear Models with a Reject Option

ArXi:2603.14096v1 Announce Type: cross Trustworthiness in artificial intelligence depends not only on what a model decides, but also on how it handles and explains cases in which a reliable decision cannot be made. In critical domains such as healthcare and finance, a reject option allows the model to abstain when evidence is insufficient, making it essential to explain why an instance is rejected in order to informed human intervention.