生成式AI驱动高校图书馆知识服务创新:原理、场景及路径探析  

Generative AI-Driven Innovation in Knowledge Services in University Libraries:Principles,Scenarios and Paths Analysis

作　　者：段小文 Duan Xiaowen

机构地区：[1]辽宁大学信息资源管理学院,辽宁沈阳110036

出　　处：《河北科技图苑》2025年第1期11-16,共6页Hebei Library Journal of Science and Technology

基　　金：2024年辽宁省教育厅高校基本科研项目“数据要素化背景下数字档案资源知识组织与开放利用研究”(LJ112410140076)的研究成果。

摘　　要：以ChatGPT为典型代表的生成式AI在2022年异军突起,其所具备的强大语言交互能力和信息组织能力契合于高校图书馆知识服务的转型升级。文章从生成式AI的技术原理切入,寻求生成式AI与高校图书馆知识服务的结合点,探讨其能为高校图书馆知识服务创新所带来的能力提升和服务变革,分析其可能存在的现实风险,并在此基础上寻求其在高校特定环境下的应用场景和适配路径,提出在AIGC时代,高校图书馆应从提高预训练模型针对性、加大数据标注投入、构建规范约束体系等方面拥抱AI技术,促进高校图书馆知识服务创新,提高知识服务质量。Generative AI,typically represented by ChatGPT,emerged in 2022,and its powerful language interaction and information organization capability are suitable for the transformation and upgrading of university library knowledge services.This study starts from the technical principles of generative AI,seeks the integration point of generative AI and knowledge service of university libraries,explores the capability enhancements and service change it can bring to the innovation of knowledge service of university libraries,analyzes the possible risks,seeks for the application scenarios and adaptation paths under the specific environment of colleges and universities,and finally puts forward that in the era of AIGC,university libraries should start from improving the relevance of pre-training models,increasing the input of data annotation,and constructing a standardized constraint system to embrace AI technology,promote knowledge service innovation in university libraries,and improve the quality of knowledge service.

关 键 词：生成式AI 高校图书馆 知识服务 

分 类 号：G250[文化科学—图书馆学]