在医学教育中教授人工智能道德:对当前文学和实践的广泛审查
Lukas Weidener1, Michael Fischer2
1UMIT TIROL - Private University for Health Sciences and Health Technology, Eduard-Wallnöfer-Zentrum 1, 6060 Hall in Tirol, Austria.
Perspectives on medical education
|October 23, 2023
概括
医学教育需要纳入人工智能 (AI) 伦理学. 目前的文献很少,而且是理论性的,这凸显了对教导人工智能伦理学进行更多研究的需要,以准备未来的医生.
科学领域:
- 医学教育 医学教育
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能 (AI) 在医学中的日益集成提出了伦理挑战.
- 担忧包括患者自主权,数据偏差和算法透明度.
- 人们认识到需要将人工智能道德纳入医学院课程.
研究的目的:
- 对现有的关于在医学教育中教授人工智能伦理学的文献进行范围审查.
- 综合有关主题的当前知识,并识别差距.
主要方法:
- 从2000年到2023年6月,在四个数据库 (PubMed,Embase,Scopus,Web of Science) 进行了全面的文献搜索.
- 使用了PRISMA-ScR指南和JBI方法.
- 选了1384个初始出版物,最终包含了12个.
主要成果:
- 所有的12个包括出版物建议在医学课程中教授AI伦理学.
- 关键的教学内容领域包括AI的医学影响和像偏见这样的伦理挑战.
- 在交互式环境中以真实实例为基础的基于案例的学习是首选的教学模式.
结论:
- 关于在医学教育中教授人工智能伦理的文献有限,主要是理论性的.
- 进一步的经验研究和基础定义对于开发有效的教学策略至关重要.
- 更多的研究是必不可少的,以装备医学学生的技能,以导航与AI相关的道德困境.
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