共感和公平:在医疗保健中采用大型语言模型的关键考虑因素
Erica Koranteng1, Arya Rao1, Efren Flores1
1Harvard Medical School, Boston, MA, United States.
JMIR medical education
|December 28, 2023
概括
大型语言模型 (LLM) 在医疗保健方面具有前景,但也引发了伦理方面的担忧. 这项研究评估了医学LLM伦理学,重点关注同理心和公平,以指导负责任的部署.
科学领域:
- 医学伦理 医学伦理
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 大型语言模型 (LLM) 越来越多地融入医疗保健,为患者护理创新提供了机会.
- 利益相关者已经确定了与医学LLM使用相关的伦理问题和潜在偏见.
研究的目的:
- 评估在医疗应用中使用LLM的伦理影响.
- 通过同情和公平的镜头来检查LLM伦理.
- 在医疗保健中部署LLM期间提出解决伦理考虑的框架.
主要方法:
- 医学LLM应用的文献审查和伦理分析.
- 在法学士课程中开发用于评估同情心和公平性的概念框架.
- 讨论负责任的LLM整合的实际考虑.
主要成果:
- 在医疗保健环境中,LLM既带来了重大潜在挑战,也带来了伦理挑战.
- 共感和公平是评估医学LLM道德使用的关键维度.
- 需要框架来确保LLM增强,而不是阻碍患者护理和公平.
结论:
- 在医学中负责任地部署LLM需要仔细考虑伦理原则,特别是同理心和公平.
- 积极开发伦理准则和框架对于利用LLM的好处而同时减轻风险至关重要.
- 未来的研究应该专注于在不同的临床环境中对LLMs的伦理框架的经验验证.
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