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交互与共享:人工智能医疗决策的伦理向度
引用本文:梁璐. 交互与共享:人工智能医疗决策的伦理向度[J]. 医学与哲学, 2023, 44(10): 19-24. doi: 10.12014/j.issn.1002-0772.2023.10.05
作者姓名:梁璐
作者单位:中南大学文学与新闻传播学院 湖南长沙 410000
基金项目:2019年湖南省科技重大专项项目(2019SK1011);2022年中南大学研究生自主探索创新项目(2022ZZTS0333)
摘    要:

人工智能在医疗健康领域的应用打破传统医−患决策格局,使其演变成医−机−患或机−患之间的多维医疗决策模式。人−机交互在医疗决策上存在三种可能性,分别为人工智能辅助医疗决策、人−机混合智能医疗决策以及人工智能替代医疗决策。然而,技术蕴含负面性,三种交互模式潜在着伦理风险。人工智能替代人类决策违背道德要求,混合智能才是未来发展趋势。因此,以混合智能为基础提出人−机共享医疗决策的伦理框架,通过构建信任、公正和责任的伦理基础,谋求实现以人为本的价值目标,用于增进人类福祉。



关 键 词:人工智能   医疗决策   人−机共享医疗决策
收稿时间:2023-03-04
修稿时间:2023-04-05

Interaction and Sharing: The Ethical Dimension of AI Medical Decision-making
LIANG Lu. Interaction and Sharing: The Ethical Dimension of AI Medical Decision-making[J]. Medicine & Philosophy, 2023, 44(10): 19-24. doi: 10.12014/j.issn.1002-0772.2023.10.05
Authors:LIANG Lu
Affiliation:School of Literature and Journalism, Central South University, Changsha 410000, China
Abstract:The application of artificial intelligence in the field of medical health has broken the traditional pattern of doctor-patient decision-making and evolved into a multidimensional medical decision-making model between doctor-machine-patient or machine-patient. There are three possibilities for human-machine interaction in medical decision-making, namely, artificial intelligence assisted medical decision-making, human-machine hybrids intelligent medical decision-making and artificial intelligence replaces medical decision-making. However, science and technology is a double-edged sword, the three interaction modes have ethical risks. Artificial intelligence is not allowed to replace human decision-making in morality, and hybrid intelligence is the future development trend. Therefore, based on hybrid intelligence, the ethical framework of human-machine shared medical decision-making is proposed, and seek to achieve the people-oriented value goal for improving human well-being by building an ethical basis of trust, justice and responsibility.
Keywords:artificial intelligence  medical decision-making  human-machine shared medical decision-making
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