南京医科大学学报（社会科学版）2024，Vol.24Issue(4)：359-368,10.DOI:10.7655/NYDXBSSS240169
"硬法—软法"范式下医疗人工智能伦理治理路径探析
An analysis of the ethical governance path of medical artificial intelligence under the paradigm of"hard law soft law"
摘要
Abstract
The traditional legal and technological ethical rules which based on hard law norms have inevitable objective limitations when governing medical artificial intelligence ethics with risk characteristics such as lack of trust in human-computer interaction,uncontrollable decision-making,unreliable security,and unfair distribution of medical resources,which make it impossible to provide the necessary for good governance.Therefore,the dualistic legal model of"hard law soft law"that emphasizes the integrated theoretical structure of"openness-control"can provide a new governance framework for the ethical governance of medical artificial intelligence.Theoretically,the"hard law soft law"paradigm can demonstrate the legitimacy of ethical risk regulation in medical artificial intelligence and ensure the responsiveness of medical artificial intelligence ethical risk decision-making.In practice,the"hard law soft law"paradigm has become a common governance framework for ethical risk management in medical artificial intelligence abroad.In the future,under the paradigm of"hard law soft law",the ethical governance path of medical artificial intelligence should continuously regulate the generation mechanism of soft law,and enhance the benign interaction mechanism of"hard law soft law".We also recommend giving full play to the governance advantages of hard law and soft law to achieve institutional complementarity,intending to construct a safe,trustworthy,and responsible ethical governance framework for medical artificial intelligence.关键词
医疗人工智能/人工智能伦理/通用人工智能/软法/硬法Key words
medical artificial intelligence/artificial intelligence ethics/artificial general intelligence/soft law/hard law分类
医药卫生引用本文复制引用
徐辉,王译.."硬法—软法"范式下医疗人工智能伦理治理路径探析[J].南京医科大学学报（社会科学版）,2024,24(4):359-368,10.基金项目
国家重点研发计划重点专项"智慧司法科学理论与司法改革科技支撑技术研究"(2020YFC0832400) （2020YFC0832400）
