Enabling Scalable Evaluation of Unfair Patterns in Medical LLMs

ACM Transactions on Computing for Healthcare · 2026-11-03 · 期刊论文

The integration of large language models in medical applications (Med LLMs) has raised critical questions about fairness and potential biased behaviors, which require rigorous evaluation. Due to the high complexity, existing work in this domain has primarily relied on manually crafted datasets for bias evaluation. In this study, we present a new method to scale up such bias evaluations by generating evaluation cases…

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Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti 等

本文摘自《每日前沿研究简报 · 2026-11-05》「AI 科研智能体 / AI 科学家」。本内容仅用于研究信息整理与科普交流，不构成医疗建议。