摘要
算法作为医疗人工智能应用的核心,在提升数据价值的同时,可能引发歧视问题,亟需法律规制。本文阐释了医疗人工智能算法歧视的内涵,分析其生成机制,包括健康医疗数据的歧视性、算法逻辑缺陷以及医患互动偏差;针对现有的算法问责模式、数据保护模式、综合治理模式规制理论的不足,提出了优化法律规制的路径,包括制定场景化的法律规制方案、规范健康医疗大数据使用、增强算法可解释性,以及融合健康数据权利保障与技术规制,推动医疗人工智能算法的公正使用。
As the core of medical artificial intelligence(AI)application,algorithms may cause discrimination,while improring the value of data,which is urgent need of legal regulation.This paper explains the connotation of medical AI algorithm discrimination and analyzes its generation mechanism,including the discrimination of health and medical data,the logic defect of algorithm and the doctor-patient interaction bias.Aiming at the shortcomings of the existing regulation theories,including algorithm accountability model,data protection model and comprehensive governance model,this paper proposes a path to optimize legal regulation,including formulating scenario-based legal regulation schemes,standardizing the use of health and medical big data,enhancing the explainability of algorithms,and integrating health data rights protection and technical regulation,so as to promote the fair use of medical AI algorithms.
作者
李恒
徐着雨
LI Heng;XU Zhuoyu(China Rule of Law Strategy Research Institute,Health Rule of Law and Policy Research Institute,East China University of Political Science and Law,Shanghai 200042,China)
出处
《中国数字医学》
2024年第12期11-19,共9页
China Digital Medicine
基金
国家社会科学基金委员会一般项目(22FX118)
上海市白玉兰人才计划浦江项目(23PJC042)。
关键词
医疗人工智能
算法歧视
健康医疗数据
法律规制
Medical artificial intelligence
Algorithm discrimination
Health care data
Legal regulation
作者简介
通信作者:李恒,Email:liheng1985310@sina.com。
