生物医学团队科学中的人工智能:感知,实践和培训需求
Emily Slade1, Kelsey Karnik1, Caitline Phan1
1Department of Biostatistics, University of Kentucky, Lexington, KY, United States.
Frontiers in psychology
|February 6, 2026
概括
研究人员在协作生物医学研究中展示了人工智能 (AI) 的多样化使用. 研究结果强调需要明确的指导方针和培训,以确保在团队科学中负责任地整合人工智能.
科学领域:
- 生物医学研究生物医学研究
- 协作科学 协作科学
- 人工智能应用程序 人工智能应用程序
背景情况:
- 人工智能 (AI) 在生物医学研究中越来越普遍.
- 对于人工智能工具的使用和协作团队中的研究人员角色的理解有限.
- 这项研究调查了研究人员在以团队为基础的研究环境中对人工智能的经验和态度.
研究的目的:
- 检查研究人员如何在协作研究环境中利用人工智能工具.
- 了解研究人员对AI在团队科学中的好处和缺点的看法.
- 确定培训需求和支持AI整合到研究团队中的框架.
主要方法:
- 一项横截面调查分发给了178名肯塔基大学的研究人员.
- 该调查评估了人工智能在研究和沟通中的使用,团队决策,感知到的好处/担忧以及培训偏好.
- 从39名参与者收集了数据,代表了22%的响应率.
主要成果:
- 人工智能采用情况有很大的不同,有26%从未使用人工智能,42%每周或每天使用人工智能.
- 近一半的团队在实施前没有讨论人工智能使用.
- 担忧包括错误信息,偏见和过度依赖,以及减少重复性任务等好处.
结论:
- 在协作研究团队中,人工智能工具的采用和研究人员的态度存在显著的变化.
- 人工智能的感知好处与当前的整合实践之间存在明显的差距.
- 基于证据的培训和结构化的框架对于团队科学中负责任和有效的AI使用至关重要.
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