聊天GPT和医疗教育的生成人工智能:潜在的影响和机会
概括
像ChatGPT一样,生成人工智能 (AI) 对医学教育提出了挑战和机遇. 教师必须提高人工智能素养,以道德地整合这些工具用于学习,评估和研究.
科学领域:
- 医疗教育中的人工智能
- 生成型人工智能应用程序
- 人工智能识字框架
背景情况:
- 以ChatGPT为例的生成性AI工具正在迅速改变包括医疗保健和教育在内的行业.
- 聊天GPT的广泛采用凸显了它的重大影响和需要理解其影响.
- 医学教育中普遍存在对学术完整性的担忧和对新型教育用途的兴奋.
研究的目的:
- 定义生成性AI,并为医学教育工作者引入AI识字框架.
- 探索将生成AI整合到医学教育中的潜在影响和机会.
- 为导航医疗培训中AI不断变化的格局提供建议.
主要方法:
- 关于生成人工智能和人工智能素养的文献评论.
- 在招生,学习,评估和研究中分析潜在的应用.
- 为医学教育工作者开发见解和建议.
主要成果:
- 生成型人工智能为医学教育提供了新的途径,从招生到研究.
- 提出了一个人工智能识字框架,以指导教育工作者理解和利用人工智能.
- 伦理考虑和社会责任对于人工智能集成至关重要.
结论:
- 医学教育工作者必须主动提高他们的AI素养,以管理生成性AI.
- 警和教育是促进医疗培训中负责任的人工智能使用的关键.
- 管理人工智能素养对于道德意识和社会责任至关重要.
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