相关实验视频
用人工智能教学的伦理考虑:医学教育环境中的范围审查
Amani Itani1,2, Susie L Gronseth1,2, Salma Musaad3
1Department of Curriculum and Instruction, University of Houston, 3623 Cullen Blvd., Room 2030 McElhinney Hall, Houston, TX 77204-5023 USA.
概括
将人工智能 (AI) 伦理学纳入医学教育是至关重要的. 本次审查强调了隐私和偏见等关键的伦理问题,强调了人工智能集成的必要性,以提高学习能力,同时应对挑战.
科学领域:
- 医疗教育 医学教育
- 人工智能伦理学 人工智能伦理学
- 医疗保健教育 医疗保健教育
背景情况:
- 人工智能 (AI) 越来越多地被用于医学教育.
- 将AI道德纳入教育框架对于负责任的实施至关重要.
研究的目的:
- 对医学教育中使用人工智能的教学进行伦理考虑的文献进行范围审查.
- 确定地理分布,出版趋势和医学教育中人工智能伦理研究的共同主题.
主要方法:
- 使用PRISMA-ScR指南进行系统的文献搜索.
- 分析了2018年至2023年10月间发表的82篇同行评审文章,这些文章来自PubMed,Embase和Web of Science.
主要成果:
- 评论文章是最常见的研究类型",人工智能"和"教育"作为频繁的关键词.
- 主要重点领域包括人工智能整合,人工智能伦理原则和医疗保健教育中的ChatGPT.
- 确定的主要伦理问题是隐私,偏见,知情同意和算法透明度.
结论:
- 整合人工智能工具作为教学辅助工具可以增强医学教育和学生的学习.
- 解决与教育中的AI相关的伦理挑战对于课程开发至关重要.
- 未来的研究应侧重于标准化能力,基于证据的课程和长期影响研究.
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