探索人工智能在证据综合中的作用:来自CORE信息检索论坛2025年的见解
Claire H Eastaugh1,2, Madeleine Still1,2, Fiona R Beyer1,2
1NIHR Innovation Observatory Newcastle University Newcastle-upon-Tyne UK.
Cochrane evidence synthesis and methods
|September 11, 2025
概括
信息专家 (IS) 对人工智能 (AI) 感兴趣,以自动化任务,但需要更多的培训和道德指导. 与会者寻求结构化的支持,以在信息检索中负责任地采用AI.
科学领域:
- 信息科学 信息科学 信息科学
- 卫生研究方法论 卫生研究方法论
背景情况:
- 信息检索对于证据合成至关重要,但需要大量的劳动力.
- 信息专家 (IS) 对人工智能 (AI) 的采用和当前使用情况尚不清楚.
- 核心信息检索论坛旨在探索AI在信息检索中的作用.
研究的目的:
- 为了衡量信息专家愿意采用AI方法的意愿.
- 了解IS当前的人工智能使用模式.
- 确定与信息检索中的AI相关的培训需求和挑战.
主要方法:
- 在CORE信息检索论坛上举行了一场关于AI的知识咖啡馆讨论.
- 参与是自愿的,通过虚拟协作工具 (Padlet) 和海报收集捐款.
- 讨论被分类为主题:批判性感知,当前使用,特定工具和培训需求.
主要成果:
- 人工智能讨论桌是论坛上最受欢迎的,有49个贡献.
- 关键主题包括批判性感知 (21个贡献),当前使用 (19),特定工具 (2) 和培训需求 (7).
- 与会者表示需要AI整合的结构,教育,道德指导和透明系统.
结论:
- 信息专家不犹地采用人工智能,但需要有结构的支持和培训.
- 显然有兴趣使用人工智能自动化重复的任务.
- 需要进一步的研究来确定合适的AI工具,可以补充IS工作.
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