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LLMs prioritize equal resource distribution over patient benefit in rare disease care

By PulseAugur Editorial · [1 sources] ·

A new benchmark study evaluated 11 state-of-the-art large language models (LLMs) on their decision-making in rare disease care scenarios. The research found that these LLMs consistently prioritized equal resource distribution (justice) over patient-specific needs (beneficence) when faced with ethical dilemmas. The models also exhibited an authority-framing effect, shifting their ethical priorities based on whether the decision was presented as coming from a committee, clinician, or patient. AI

IMPACT LLMs may reflect institutional biases in resource allocation, potentially leading to inequitable healthcare decisions if not carefully guided.

RANK_REASON The cluster contains an academic paper presenting a new benchmark and findings on LLM behavior in a specific ethical context. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs prioritize equal resource distribution over patient benefit in rare disease care

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31 / 100
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The cluster contains an academic paper presenting a new benchmark and findings on LLM behavior in a specific ethical context. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. 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 ·

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

    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…

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