图书馆杂志

图书馆杂志 ›› 2025, Vol. 44 ›› Issue (412): 4-19.

• 特别策划——专家笔谈 •    下一篇

理念革新技术重塑:人工智能时代图书馆的专业发展与创新实践专家笔谈

吴建中(中国图书馆学会学术研究工作委员会)程焕文(中山大学信息管理学院)周德明(上海图书馆)柯 平(南开大学信息资源管理系)叶 鹰(南京大学信息管理学院)张久珍(北京大学信息管理系)赵 星(复旦大学大数据研究院)傅 平(美国惠特曼学院彭罗斯图书馆)   

  • 出版日期:2025-08-15 发布日期:2025-09-01
  • 作者简介:吴建中(中国图书馆学会学术研究工作委员会)程焕文(中山大学信息管理学院)周德明(上海图书馆)柯 平(南开大学信息资源管理系)叶 鹰(南京大学信息管理学院)张久珍(北京大学信息管理系)赵 星(复旦大学大数据研究院)傅 平(美国惠特曼学院彭罗斯图书馆)

Conceptual Innovation and TechnologicalReshaping:Expert Dialogues on ProfessionalDevelopment and Innovative Practices inLibraries in the Age of Artificial Intelligence

Wu Jianzhong,Cheng Huanwen,Zhou Deming,Ke Ping,Ye Ying,Zhang Jiuzhen,Zhao Xing,Fu Ping   

  • Online:2025-08-15 Published:2025-09-01
  • About author:Wu Jianzhong,Cheng Huanwen,Zhou Deming,Ke Ping,Ye Ying,Zhang Jiuzhen,Zhao Xing,Fu Ping

摘要:

吴建中指出,如何让人工智能这一新生事物更好地为促进图书馆转型和高质量发展服务,是一个亟待思考和解决的新课题。图书馆要拥抱这一新技术,成为人工智能应用的积极推进者。但人工智能是手段,不是目的。发展人工智能不是为了替代图书馆员。应用人工智能不能偏离图书馆的核心价值。发展人工智能不是一时之需,也不可能一蹴而就。程焕文认为,人工智能时代,图书馆在空间形态、信息技术、知识载体快速迭代的浪潮中,应坚守“三个无可替代”:图书馆保障全民平等获取知识的社会价值无可替代;专业馆员在公共服务与创新中的角色无可替代;图书馆支撑终身学习、全民阅读的功能无可替代。周德明指出,AI 技术正以前所未有的深度和广度重塑图书馆,挑战与机遇并存。图书馆人应主动学习AI 知识,提高服务效率;勇于革除旧业务、探索新应用;以智慧引导AI 与馆藏、服务深度融合,防范幻觉风险;以耐心推进智能化建设的长期进程。AI 将改变信息获取方式,同时也将赋能采购、标引、古籍数字化与参考咨询,未来图书馆将在变革中更强大。柯平指出,参考咨询服务历经140 余年发展,从传统咨询到数字咨询,已完成第一次升级。2023 年ChatGPT 等大语言模型推动其进入第二次升级,表现为全方位、根本性变革。新范式以智慧参考咨询为目标,具备深度交互化、泛在个性化和全面成效化三大特征:AIGC 提升人机交互深度,嵌入多元场景实现个性化服务,并拓展智能推荐、知识生产等新功能,超越效率导向,直接创造社会与经济效益。叶鹰认为,生成式AI 正推动图书馆从“数字化”跃迁至“数智化”。理念上,资源建设由经验判识转化为AI驱动,知识组织借助语义网络实现动态关联,参考咨询升级为实时Agent 服务。技术层面,AI 融合XR 打造沉浸式元宇宙图书馆,使其从“资源仓库”变身“知识助理”与“创新孵化器”。面对伦理与幻觉风险,图书馆需开放而审慎,馆员亦将转型为兼具科技与人文素养的“智慧设计师”。张久珍指出,生成式AI 浪潮下,图书馆应克服技术焦虑,理性评估AI 的“辅助”而非“替代”角色,聚焦其在馆藏活化、采编优化等核心业务中的战略价值,推动服务从“保存”向“应用”转型。需以使命导向遴选技术,防范盲从与资源错配,强化批判思维与AI 素养教育,巩固知识中枢地位,拓展普惠与深度服务。赵星回溯图书馆自20 世纪中叶以来的自动化与数字化探索,强调图书馆曾长期引领技术创新。面对AI的知识碎片化、幻觉与价值场景稀缺等瓶颈,图书馆凭借体系化知识治理、可信权威与完整用户认知工作流,具备从“被赋能”转向“做示范”的基础与能力,为AI 提供关键场景验证,实现双向赋能与共生演进。傅平以美国惠特曼学院彭罗斯图书馆为例,探讨三款当前美国学术图书馆广泛试用的AI 研究助手———Primo Research Assistant、JSTOR AI Research Assistant 与ProQuest Research Assistant———如何嵌入图书馆服务实践,并从教育价值、技术能力与伦理风险等角度进行评析。文章强调,图书馆不应简单追随技术热潮,也不宜草率封闭功能,而应主动参与生成式AI 的教化与规范进程,成为智能时代知识与价值的守护者。

关键词: 人工智能, 图书馆核心价值, 数字基础设施, 图书馆技术, 业态重塑, AI研究助手, 技术伦理, 图书馆服务转型

Abstract:

Wu Jianzhong emphasizes that leveraging artificial intelligence AI to support thetransformation and high-quality development of libraries is a new and pressing issue. He advocates forlibraries to embrace AI as a powerful tool while recognizing it as a means not an end. The goal ofdeveloping AI is not to replace librarians and its application must not deviate from the library􀆳s corevalues. The development of AI in libraries is neither a short-term need nor a quick fix. Cheng Huanwenargues that in the AI era as libraries undergo rapid iterations in spatial form information technology andknowledge carrier they must uphold three irreplaceable functions the social value ensuring equal accessto knowledge for all the irreplaceable role of professional librarians in public service and innovation andlibraries􀆳 vital function in supporting lifelong learning and nationwide reading. Zhou Deming observesthat AI is reshaping libraries in an unprecedented depth and breadth bringing both challenges andopportunities. Librarians should proactively learn about AI improve service efficiency phase outoutdated practices and explore new applications. They should integrate AI with collections and serviceswhile managing the risks of AI hallucinations and advancing intelligent development with patience. AIwill change how people access information and can also enhance acquisitions indexing rare bookdigitization and reference services ultimately making libraries stronger through transformation. Ke Pingpoints out that reference services which have evolved over 140 years from traditional to digital formatshave entered a second major upgrade driven by large language models like ChatGPT. This new paradigmis characterized by deep interaction ubiquitous personalization and comprehensive effectiveness. AIgeneratedcontent AIGC enhances human-computer interaction supports personalized service acrossdiverse scenarios and enables functions like intelligent recommendations and knowledge generation. Itgoes beyond efficiency to deliver direct social and economic benefits. Ye Ying contends that generativeAI is propelling libraries from 􀆵 digitization to 􀆵 intelligent digitization. Conceptually resourcedevelopment is shifting from experience-based to AI-driven prediction knowledge organization isbecoming dynamically associated through semantic networks and reference services are evolving intoreal-time Agent Service. Technologically AI combined with XR extended reality is creatingimmersive metaverse libraries that function not only as resource repositories but also as knowledgeassistants and innovation incubators. In addressing ethical and hallucination risks libraries must remainopen yet cautious while librarians should transform into 􀆵intelligent designers with both technologicaland humanistic literacy. Zhang Jiuzhen emphasizes that in the era of generative AI libraries shouldovercome technological anxiety and rationally assess AI􀆳s role as an aid not a replacement. The focusshould be on AI􀆳s strategic value in revitalizing collections and optimizing acquisitions and catalogingpromoting a shift from preservation to application. Libraries must be mission-driven in their technologychoices avoid blind adoption and resource misallocation reinforce critical thinking and AI literacyeducation solidify their role as knowledge hubs and expand inclusive and in-depth services. Zhao Xingreviews libraries􀆳 leading efforts in automation and digitization since the mid-20th century. He notes thatdespite AI􀆳s challenges namely knowledge fragmentation hallucinations and lack of value-drivenscenarios libraries possess the foundation to evolve from being 􀆵 empowered to serving as􀆵demonstrators . With their structured knowledge governance credible authority and comprehensiveuser cognition workflows libraries can validate key AI application scenarios achieving mutualempowerment and symbiotic development. Fu Ping studies Penrose Library at Whitman College as anexample to explore three AI research assistants widely adopted in American academic libraries PrimoResearch Assistant JSTOR AI Research Assistant and ProQuest Research Assistant. He examines howthese tools are embedded into library services and evaluates them from the perspectives of educationalvalue technical capability and ethical risk. It is emphasized that libraries should neither blindly followAI trends nor hastily shut down emerging functions instead they should actively engage in shaping andguiding the use of generative AI becoming stewards of knowledge and values in the intelligent age.