中国医学伦理学2025，Vol.38Issue(12)：1552-1558,7.DOI:10.12026/j.issn.1001-8565.2025.12.05
模糊认知地图:医疗决策人工智能归责问题的难点及其应对
Fuzzy cognitive maps:difficulties and countermeasures to the responsibility attribution problems in medical decision-making artificial intelligence
摘要
Abstract
One of the core theoretical problems in current medical decision-making artificial intelligence(AI)is the responsibility attribution problem.The intervention of AI technology has reshaped the understanding of responsibility in the traditional medical decision-making process.Based on principlism as a normative ethical framework,and by introducing fuzzy values into the original cognitive map technology while leveraging deep neural networks and symbolic methods,fuzzy cognitive maps provide a possible path to realize the moral concerns of patients and doctors.The problem is that,given an autonomous learning goal,medical decision-making AI represented by fuzzy cognitive maps may use unknown and human-incomprehensible category classification methods.Some forms of supervised learning and falsifiability verification are necessary to further clarify the specific boundaries of medical decision-making AI.关键词
模糊认知地图/人工智能/医疗决策/归责Key words
fuzzy cognitive maps/artificial intelligence/medical decision-making/responsibility attribution分类
医药卫生引用本文复制引用
FANG Shuaishuai,SUN Yan..模糊认知地图:医疗决策人工智能归责问题的难点及其应对[J].中国医学伦理学,2025,38(12):1552-1558,7.基金项目
国家社科基金一般项目"当代西方正义理论的新发展动态与批判研究"(22BZX014) （22BZX014）
