Policy
impact 16
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication arXiv:2604.19895v1 Announce Type: new Abstract: A well-known limitation of AI systems is presumptuousness: the tendency…
Why it matters
The timing matters: presumptuousness is converging with shifts in learning, which could amplify the downstream impact.