增加研究同意:是否应该使用大型语言模型 (LLM) 来获得临床研究的知情同意?
Jemima W Allen1, Owen Schaefer2, Sebastian Porsdam Mann3
1Monash University, Australia; University of Oxford, UK.
Research ethics
|November 5, 2025
概括
人工智能 (AI),特别是大型语言模型 (LLM),可以改善临床研究. 然而,错误信息和问责制挑战等伦理风险需要仔细考虑和监管改革.
科学领域:
- 临床研究 临床研究
- 人工智能的人工智能
- 生物伦理学生物伦理学
背景情况:
- 在临床研究中,知情同意至关重要.
- 目前的同意流程涉及书面文件和研究人员的互动.
- 人工智能,特别是LLM,为知情同意提供了新的机会和挑战.
研究的目的:
- 检查在临床研究中使用LLM的伦理含义.知情同意.
- 确定与LLM整合相关的潜在好处和风险.
- 为道德实施和监管调整提出建议.
主要方法:
- 对LLM能力和伦理考虑进行批判性审查.
- 探索五个潜在的模型,在同意的LLM实施.
- 对IRB现有监管框架和潜在改革的分析.
主要成果:
- 法律法规提供了潜在的好处:提高了参与者的理解,参与,获取信息和效率.
- 伦理风险包括错误信息,胁迫和问责问题.
- 对于基于LLM的同意流程,现有的法规可能不足.
结论:
- 在临床研究同意的LLM整合需要谨慎导航的伦理考虑.
- 为研究人员和IRB提供建议,以确保道德使用.
- 监管框架和机构审查委员会 (IRB) 监督的改革是必要的.
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