评估ChatGPT在生物伦理学中的表现:一个大型语言模型在医学中的道德指南针
Jamie Chen1, Angelo Cadiente2, Lora J Kasselman3
1Hackensack Meridian School of Medicine, Nutley, New Jersey, USA jamie.chen@hmhn.org.
Journal of medical ethics
|November 16, 2023
概括
聊天GPT-3.5在医学学生的生物伦理学问题上显示了59.6%的准确性,在死亡和患者医生主题方面表现出色,但在知情同意方面扎. 在医学生物伦理学中需要对人工智能的进一步研究.
科学领域:
- 医学教育 医学教育
- 生物伦理学生物伦理学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI),特别是聊天生成预训练变压器 (ChatGPT),正在医学教育中获得引力.
- 它在生物伦理学专业领域的实用性和准确性在很大程度上尚未评估.
研究的目的:
- 评估ChatGPT-3.5 (2023年4月) 在回答多选生物伦理问题的准确性.
- 分析不同生物伦理类别,难度级别和与美国三年级和四年级医学学生相关的医学专业的表现.
主要方法:
- 114个生物伦理问题来自UWorld和AMBOSS问题库.
- 对ChatGPT-3.5的响应进行了分析,以确定各种生物伦理领域和医学专业的准确性,错误类型和性能.
主要成果:
- 聊天GPT的整体准确率达到了59.6%.
- 在与死亡和患者与医生的关系相关的主题中观察到更高的准确性,而在知情同意问题上的表现较弱.
- 人工智能在儿科表现最好,尽管在分析中,一些专业和类别的代表性不足.
结论:
- 在医学生物伦理学中,ChatGPT-3.5表现出适度的准确性,跨主题和专业有显著的变化.
- 这些发现强调了需要在复杂的医疗生物伦理背景下继续调查人工智能能力和局限性.
- 这项研究有助于对将人工智能纳入医疗保健和医学教育负责任地进行讨论.
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