English(EN) Rare Diseases, Common Dilemmas: LLMs Prioritize Equal Resource Distribution over Patient Benefit in Decision-Making

LLM在罕见病护理中优先考虑资源公平分配而非患者获益

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-27 04:00

一项新的基准研究评估了11个最先进的大型语言模型（LLMs）在罕见病护理场景中的决策能力。研究发现，在面临伦理困境时，这些LLMs始终优先考虑资源公平分配（公正）而非患者特定需求（仁慈）。模型还表现出权威框架效应，根据决策是来自委员会、临床医生还是患者，其伦理优先级会发生变化。 AI

影响 LLMs可能反映了机构在资源分配方面的偏见，如果指导不当，可能导致不公平的医疗决策。

排序理由该集群包含一篇学术论文，提出了一个新的基准和关于LLM在特定伦理情境下行为的发现。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Minda Zhao, Xu Han, Rishabh Goel, Maya Dagan, Noa Dagan, Adithya Madduri, Payal Chandak, Shilpa Nadimpalli Kobren, Isaac S. Kohane · 2026-08-27 04:00

罕见病，共同困境：LLM在决策中优先考虑资源公平分配而非患者获益

arXiv:2608.25236v1 Announce Type: cross Abstract: Clinical decision-making often involves prioritizing ethical values, such as beneficence, non-maleficence, respecting a patient's autonomy, and justice. Recent work has begun to assess how large language models (LLMs) make such su…