评价由人类进行的文学评论与聊天GPT:比较研究
Mehrnaz Mostafapour1, Jacqueline H Fortier1, Karen Pacheco1
1Canadian Medical Protective Association, Ottawa, ON, Canada.
JMIR AI
|August 19, 2024
概括
像ChatGPT-4这样的人工智能 (AI) 可以快速生成广泛的文献评论,但人类研究人员为复杂的主题提供了更准确和更具上下文相关的见解.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 研究中的人工智能.
背景情况:
- 人工智能 (AI) 的快速发展,特别是像ChatGPT-4这样的大型语言模型 (LLM),激发了人们对它们用于学术任务的应用的兴趣,包括文献评论.
- 人工智能生成的文献评论与传统的人为主导的方法的比较有效性仍然是一个需要进一步研究的领域.
研究的目的:
- 将ChatGPT-4产生的文献评论质量与人类研究人员产生的文献评论质量进行比较.
- 将比较重点放在影响医生与患者关系动态的因素上,在医疗法律背景下.
主要方法:
- 分析了两篇关于医疗法律背景下的医生-患者动态的文献评论:一篇由GPT-4使用代提示生成,另一篇由人类研究人员通过传统的数据库搜索 (Ovid MEDLINE) 和主题分析进行.
- 对比分析使用了定性指标:准确性,响应时间,一致性,知识广度和深度,上下文理解和透明度.
主要成果:
- 聊天GPT-4快速生成了广泛的关系因素列表,展示了广泛的知识,但缺乏深度和上下文理解,有时包括不相关或不准确的信息.
- 人类研究人员制作了一个更细致,更符合情境的评论.
- 虽然GPT-4在响应时间和范围方面表现出色,但人类评论在准确性,深度和上下文相关性方面都优越.
结论:
- 像GPT-4这样的AI工具可以通过提供快速概述来协助初步文献审查,但由于准确性和上下文的限制,需要专家评估.
- 人类专业知识对于全面的文献评论至关重要,人工智能作为一个有价值的助手而不是替代品.
- 这项研究强调了人工智能的速度和人类专业知识的深度对提高卫生服务和医疗领域的学术研究成果的互补潜力.
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