基于人工智能的医学伦理教育:研究大型语言模型的潜力,作为一种培养美德的工具
Shimpei Okamoto1, Masanori Kataoka2, Makoto Itano1
1Graduate School of Humanities and Social Sciences, Hiroshima University, Higashi-Hiroshima, Japan.
BMC medical education
|February 5, 2025
概括
大型语言模型 (LLM) 可以通过传授道德知识和模拟美德来增强医学伦理教育. 这些人工智能工具提供交互式学习体验,解决当前教育资源的差距.
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) 正在彻底改变医学.
- 大型语言模型 (LLM) 具有先进的文本处理能力.
- 人工智能在医学伦理教育中的整合需要进行批判性评估.
研究的目的:
- 评估法学士在医学伦理教育中的整合.
- 探索法学士在促进医疗专业人员的美德方面的潜力.
- 检查在医学教育中使用人工智能的伦理考虑.
主要方法:
- 一种混合方法,结合了原则主义和非原则主义的方法.
- 将LLM定位为伦理场景中的榜样和顾问.
主要成果:
- 在医学伦理学方面,LLM可以作为有价值的教育工具.
- 医学伦理学方面存在着明显的教育资源缺乏.
- 法学士可以有效地传授道德知识和培养美德.
- 人工智能伦理应该纳入医学课程.
结论:
- 像ChatGPT这样的LLM可以显著提高医学伦理教育.
- 定制,交互式的教育体验可以通过LLMs.
- 在教育中使用人工智能的伦理细微差别必须得到解决.
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