探索人工智能大语言模型对医学伦理学的潜在实用性:专家小组对GPT-4的评估
Michael Balas1, Jordan Joseph Wadden2,3, Philip C Hébert4,5
1Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada 1michaelbalas@gmail.com.
Journal of medical ethics
|November 9, 2023
概括
像GPT-4这样的大型语言模型 (LLM) 在医学伦理学中显示出希望,提供了清晰度,但在复杂的伦理困境中缺乏深度和细微的可接受性. 为了临床应用,需要进一步细化.
科学领域:
- 医学伦理 医学伦理
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 将大型语言模型 (LLM) 整合到医学伦理学中是一个新兴领域,具有潜在的医疗保健影响.
- 了解像GPT-4这样的LLM在协助伦理学家方面的有效性,对于评估他们在医疗保健决策中的作用至关重要.
研究的目的:
- 评估GPT-4在应对复杂的医学伦理问题方面的表现.
- 评估GPT-4的实用性和局限性,以帮助医学伦理学家做出决策.
主要方法:
- 采用了混合方法的横截面调查.
- 一个由六名伦理学家组成的小组使用预定义的指标评估了GPT-4对八个伦理小题的反应.
- 关键结果包括相关性,推理,深度,清晰度 (技术和非技术) 和可接受性,以及可读性评估.
主要成果:
- GPT-4获得了4.1/5.5的整体平均有效性得分.
- 对于技术性 (4.7/5) 和非技术性的清晰度 (4.4/5),答案的评分很高.
- 对于深度 (3.8/5) 和可接受性 (3.8/5),观察到较低的得分,评级者之间的可靠性差至中等 (ICC=0.54).
结论:
- GPT-4可以识别和阐述伦理问题,但在复杂的困境中与细微的方面和特定的价值观斗争.
- 鉴于深度和细微的可接受性,特别是在关系复杂性方面,人们注意到了限制.
- 为了有效地融入临床医学伦理学环境,需要对LLM进行持续评估和改进.
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