AI RESEARCH
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication
arXiv CS.AI
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ArXi:2604.19895v1 Announce Type: new A well-known limitation of AI systems is presumptuousness: the tendency of AI systems to provide confident answers when information may be lacking. This challenge is particularly acute in legal applications, where a core task for attorneys, judges, and administrators is to determine whether evidence is sufficient to reach a