医学中大型语言模型的伦理和监管挑战
Jasmine Chiat Ling Ong1, Shelley Yin-Hsi Chang2, Wasswa William3
1Division of Pharmacy, Singapore General Hospital, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore.
The Lancet. Digital health
|April 24, 2024
概括
大型语言模型 (LLM) 在医学中提出了独特的伦理挑战. 解决数据隐私,知识产权和负责任的整合对于安全的医疗应用至关重要.
科学领域:
- 医学伦理 医学伦理
- 人工智能的人工智能
- 大型语言模型
背景情况:
- 跨行业越来越多地采用大型语言模型 (LLM).
- LLM拥有独特的架构和新兴能力,与其他AI和NLP技术不同.
- 这需要对LLM伦理学的专业理解,特别是在医学等敏感领域.
研究的目的:
- 突出与医学领域的法学士相关的关键伦理问题.
- 从用户,开发人员和监管机构的角度来研究这些问题.
- 确定需要对LLM实施进行伦理考虑的关键领域.
主要方法:
- 对伦理问题的观点分析.
- 专注于具体问题,包括数据隐私,使用权,数据来源和知识产权.
- 考虑LLMs的广泛适用性和适应性.
主要成果:
- 确定了包括数据隐私和使用权在内的重大伦理问题.
- 突出了数据来源和知识产权污染的问题.
- 承认LLMs的广泛应用和可塑性是道德挑战的来源.
结论:
- 一个全面的道德框架和缓解策略对于负责任的医学LLM整合至关重要.
- 确保与道德原则保持一致至关重要.
- 保护与医疗LLM相关的潜在社会风险至关重要.
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