大型语言模型作为人工智能工具在全球临床研究人员的学术研究和出版中使用
Tanisha Mishra1, Edward Sutanto2,3, Rini Rossanti4
1Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Scientific reports
|December 31, 2024
概括
研究人员越来越多地在学术工作中使用像GPT这样的大型语言模型 (LLM). 虽然有意识的研究人员发表的更多,但需要道德准则来管理AI.
科学领域:
- 医疗和准医疗研究.
- 在学术界的人工智能.
背景情况:
- 大型语言模型 (LLM) 和人工智能在学术研究中越来越多地被用于诸如文献审查和手稿起草等任务.
- 尽管有好处,但LLM在科学信息准确性方面存在道德挑战.
研究的目的:
- 评估全球研究人员对LLMs在研究中的当前趋势和未来影响的看法.
- 探索LLM意识和出版成果之间的关系.
主要方法:
- 来自59个国家的226名医疗和护理研究人员的横截面调查 (2020-2024).
- 收集关于LLM意识,使用,感知影响和关于AI在期刊和监管中的意见的数据.
主要成果:
- 87.6%的研究人员知道LLM,意识与出版物数量正相关 (p < 0.001).
- 18.7%的知情受访者在出版物中使用LLM,主要用于语法/格式,但许多 (40.5%) 没有披露使用情况.
- 超过50%的人预测未来会产生积极的影响,特别是在书面和文献评论方面,大多数人支持如果受到监管,在研究中使用人工智能.
结论:
- 士学位意识与更高的研究生产率有关,突出显示了它们日益增长的作用.
- 对于AI在学术出版中需要明确的指导方针和伦理框架,存在共识.
- 解决伦理问题和制定法规对于负责地将人工智能纳入研究至关重要.
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