AI4Meder
返回论文列表
论文ICLR 2026 Poster2026 年trustworthy medical AI

NurValues:临床情境中大语言模型的真实护理价值观评测

ICLR 2026 Poster accepted paper at ICLR 2026. While LLMs have demonstrated medical knowledge and conversational ability, their deployment in clinical practice raises new risks: patients may place greater trust in LLM-generated responses than in nurses' professional judgments, potentially intensifying nurse–patient conflicts. Such risks highlight the urgent need of evaluating whether LLMs align with the core nursing values upheld by human nurses. This work introduces the first benchmark for nursing value alignment, consisting of five core value dimensions distilled from international nursing codes: _Altruism_, _Human Dignity_, _Integrity_, _Justice_, and _Professionalism_. We define two-level tasks on the benchmark, considering the two characteristics of emerging nurse–patient conflicts.

论文默认配图 - 医学影像计算

论文详情

英文标题
NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context
作者
Ben Yao, Qiuchi Li, Yazhou Zhang, Yang siyu, Bohan Zhang, Prayag Tiwari, Jing Qin
期刊/会议
ICLR 2026 Poster
发表年份
2026 年
研究方向
trustworthy medical AI