诚信与创新相遇:在医学研究中使用人工智能的道德第一原则方法写作
Joseph Zwillenberg1, Eric M Teichner, Shiv Patil
1Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA. abass.alavi@uphs.upenn.edu.
Hellenic journal of nuclear medicine
|December 13, 2025
概括
人工智能 (AI),特别是大型语言模型 (LLM),可以加速医学研究写作. 在使用人工智能时,道德考虑建议优先考虑科学进步和人类问责制,而不是传统的作者权问题.
科学领域:
- 医学研究 医学研究
- 人工智能的人工智能
- 生物伦理学生物伦理学
背景情况:
- 大型语言模型 (LLM) 越来越多地被整合到医学研究写作中.
- 法学士可以加快手稿的研究,起草和出版.
- 目前的LLM限制需要人类监督以确保准确性,并防止"幻觉".
研究的目的:
- 检查使用人工智能在医学研究起草中的道德允许性.
- 探索加速医学科学发现的伦理要求.
- 解决人工智能在研究著作权中的角色的核心道德问题.
主要方法:
- 一个以第一原则为基础的伦理方法.
- 亚里士多德的远方学推理.
- 在AI的背景下分析作者身份和功德归因.
主要成果:
- 加快医学发现的伦理要求超过了传统的作者权益问题.
- 研究的主要价值在于其结果 (减轻痛苦,推进知识),而不是其组成过程.
- 人工智能缺乏真正的著作权和问责制的道德机构.
结论:
- 对LLM在医学研究中的负责任和透明的整合至关重要.
- 人类的作者仍然是必不可少的,因为道德代理和问责制的要求.
- 提供了指导LLM在研究写作中的伦理使用的建议.
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