[1]李晓鹏,徐成立,田 静,等.世界卫生组织《大型多模态模型（LMMs）伦理与治理指南》 解析与启示[J].卫生经济研究,2025,42(11):66-69.
　LI Xiaopeng,XU Chengli,TIAN Jing,et al.Analysis and Implications of the World Health Organization's Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-modal Models(LMMs)[J].Journal Press of Health Economics Research,2025,42(11):66-69.
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世界卫生组织《大型多模态模型（LMMs）伦理与治理指南》 解析与启示

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
42
期数:
2025年11期
页码:
66-69
栏目:
数智健康
出版日期:
2025-11-04

文章信息/Info

Title:
Analysis and Implications of the World Health Organization's Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-modal Models(LMMs)
作者:
李晓鹏1; 徐成立1; 田 静1; 徐 杰2; 邹青海3
1.华中师范大学体育学院，湖北 武汉 430079
2.武汉体育学院体育科技学院，湖北 武汉 430079
3.铜仁幼儿师范高等专科学校，贵州 铜仁 554309
Author(s):
LI Xiaopeng;  XU Chengli;  TIAN Jing;  XU Jie;  ZOU Qinghai
School of Physical Education and Sports, Central China Normal University, Wuhan Hubei 430079, China
关键词:
医疗健康; 生成式人工智能; 伦理风险
Keywords:
healthcare;  generative artificial intelligence;  ethical Risks
分类号:
R19
文献标志码:
A
摘要:
生成式人工智能在健康领域的广泛应用引发了一定的伦理风险。对此，世界卫生组织发布《大型多模态模型（LMMs）伦理与治理指南》，从数据伦理、算法伦理、人机关系伦理、教育能力伦理四个维度识别LMMs存在的风险隐患，提出了自主权保障、公共利益导向、可解释性、责任追溯、公平与包容性五项风险治理原则。根据世界卫生组织建议，我国应构建基于自主权保障的人机协作决策框架，以公共服务为导向确立人工智能价值锚定机制，强化人工智能在医疗健康领域的法律问责机制，完善弱势群体健康医疗数据增补制度，从而实现医疗健康领域人工智能的高质量发展和可持续应用。
Abstract:
The wide application of generative artificial intelligence in the field of health has raised certain ethical risks. In response, the World Health Organization(WHO) issued Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-modal Models(LMMs), which identified the risks in LMMs from four dimensions of data ethics, algorithm ethics, human-machine relationship ethics, and educational ability ethics, and proposed five risk governance principles, including autonomy guarantee, public interest orientation, explainability, responsibility traceability, fairness and inclusiveness. Following WHO recommendations, it is necessary to establish a human-machine collaborative decision-making framework based on the guarantee of autonomy, set up an AI value anchoring mechanism oriented towards public services, strengthen the legal accountability and supervision of AI in the healthcare field, and improve the supplementary system of healthcare data for vulnerable groups, so as to achieve high-quality development and sustainable application of AI in healthcare field.

参考文献/References:

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更新日期/Last Update: 2025-11-04