How to create "humble" AI

An international group of scientists led The researchers caution that current AI systems risk guiding doctors toward incorrect decisions because they may present overconfident but flawed outputs. Physicians have been shown in prior studies to defer to such systems even when their own judgment differs, the team noted. To address this, the framework incorporates modules that require AI models to assess their own certainty in predictions. One component, called the Epistemic Virtue Score, was developed If the system detects that its confidence exceeds the supporting evidence, it can pause, flag the gap, and request additional tests, patient history, or specialist input, the scientists said. The goal is to position AI as a collaborative partner rather than an Celi is the senior The research received funding from the Boston Korea Innovative Research Project through the Korea Health Industry Development Institute.