成都大学学报（社会科学版）Issue(5)：116-128,13.
从决定论到概率论:重构人工智能时代的医疗损害因果关系
From Determinism to Probabilism:Reformulating Medical Damage Causation in the Age of Artificial Intelligence
摘要
Abstract
The emergence of artificial intelligence in diagnosis and treatment has brought profound innovation to medical practice,but its probabilistic complexity,uninterpretability,dynamic optimization,and decision autonomy pose a severe challenge to the determination of causation of traditional medical damages.In human-machine collaborative settings,the "but-for" test,principle of proximate cause,foreseeability standard,and adequate causation theory all struggle to address the new causal difficulties.This paper proposes a probabilistic causation theory centred on "probability gain",and constructs a rule system including surface causation determination,joint causation determination,false causation identification and causation chain reconstruction,so as to determine the incident causation with limited evidence and uncertain causation,to distinguish the different roles of the medical personnel's fault and the AI-designer,and to identify the causation force and responsibility portion in joint causation.关键词
诊疗人工智能/医疗损害责任/因果关系证明/概率因果关系Key words
diagnostic artificial intelligence/medical damage liability/causal inference/probabilistic causation分类
社会科学引用本文复制引用
李钊,王文..从决定论到概率论:重构人工智能时代的医疗损害因果关系[J].成都大学学报（社会科学版）,2025,(5):116-128,13.基金项目
国家社会科学基金一般项目"算法营销侵蚀消费者自主选择权的法律规制研究"(项目编号:24BFX052) （项目编号:24BFX052）
江西省社会科学"十四五"规划(2023年)项目"以提升数字能力为目标的人权建设研究"(项目编号:23FX08). （2023年）
