calibrate reliance

校准依赖：让用户对 AI 建议的接受/拒绝程度与 AI 真实能力匹配——AI 强时多信、AI 弱时少信，避免过度依赖或无端忽视。

English Definition

"The goal of aligning a human's acceptance or rejection of AI advice with the AI's actual competence—neither over-relying on wrong AI nor under-relying on correct AI."

用法说明 · 针对中文母语者

CHI/HCI 文献中的固定搭配，也写作 'reliance calibration'。近年来被认为是不够的目标——'用得对'只是底线，更高目标是 cue 能否推进用户推理。

真实用例 · 3 条

"research has shifted toward understanding and calibrating humans' reliance on AI outputs in making decisions"

论文Pipeline extracted — review needed·相关工作：现代 ML 时代的研究转向

"Existing theories of AI-assisted decision-making focus on calibrating reliance on AI advice, leaving it unclear how different system designs might influence the reasoning processes underneath."

论文Pipeline extracted — review needed·摘要：指出已有理论的局限

"especially when the cues were originally intended to calibrate reliance (such as AI explanations)."

论文Pipeline extracted — review needed·讨论部分

由 pipeline 自动采集，待人工 review