人类对人工智能健康有意义的控制? 一个审查 一个审查
Eva Maria Hille1, Patrik Hummel2, Matthias Braun3
1Chair of Social Ethics & Ethics of Technology, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany eva.hille@uni-bonn.de.
Journal of medical ethics
|September 20, 2023
概括
医疗保健中的人工智能缺乏对有意义的人类控制 (MHC) 的明确框架. 这项研究提出了对MHC的更广泛理解,以解决临床决策中的理论和标签差距.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能伦理学 人工智能伦理学
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健,这引发了关于临床决策控制的关键问题.
- 有意义的人类控制 (MHC) 的概念被提出为一个解决方案,但其在健康中的应用仍然模糊.
- 确保医疗保健中的问责制和道德的人工智能部署需要对MHC有明确的理解.
研究的目的:
- 系统地审查当前对健康部门有意义的人类控制 (MHC) 的理解和应用.
- 识别医疗保健中MHC概念化和实施现有的差距.
- 为MHC在健康领域提出一个精细的框架,以指导未来的AI开发和部署.
主要方法:
- 进行了一项系统的文献审查,以分析健康中有意义的人类控制 (MHC) 概念的当前状态.
- 审查的重点是确定MHC在临床环境中是如何理解和应用的.
- 分析旨在揭示实施MHC的理论和实际挑战.
主要成果:
- 目前对健康中的有意义的人类控制 (MHC) 的理解并不强大或定义清楚.
- 在医疗保健环境中MHC的理论基础和实践标签方面存在重大差距.
- 现有的框架未能充分解决人工智能驱动的临床决策的复杂性.
结论:
- 建议对MHC进行更广泛,以行动为导向的理解,包括启用,行使和评估控制,用于医疗保健.
- 进一步发展MHC概念对于弥合理论和标签差距至关重要.
- 将MHC考虑因素纳入卫生部门规则和流程是负责任的人工智能采用的关键.
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