图书馆杂志

图书馆杂志 ›› 2025, Vol. 44 ›› Issue (414): 4-12.

• “国家科研论文和科技信息高端交流平台建设”专题 •    下一篇

生成式人工智能背景下优化国家高端交流平台建设对策研究

陈 超 祝碧衡(上海图书馆)   

  • 出版日期:2025-10-15 发布日期:2025-11-06
  • 作者简介:

    陈 超 上海图书馆( 上海科学技术情报研究所),研究员。研究方向:图书馆学、情报学研究等。作者贡献:文章策划与讨论。E-mail: cchen@ libnet. sh. cn 上海 200031

    祝碧衡 上海图书馆( 上海科学技术情报研究所),研究员。研究方向:情报研究、智库研究等。作者贡献:文章策划、讨论与撰写。 上海 200031

Strategic Approaches to Optimizing National Advanced Platforms for S&T Information and Communication in the Eraof Generative AI

Chen Chao Zhu Biheng (Shanghai Library)   

  • Online:2025-10-15 Published:2025-11-06
  • About author:Chen Chao Zhu Biheng Shanghai Library

摘要:

本文聚焦生成式人工智能(Generative AI,简称GenAI)迅速发展背景下,国家科研论文与科技信息高端交流平台建设所面临的新挑战。研究指出,当前平台在战略定位、功能布局、服务模式及伦理治理等方面,尚未充分回应GenAI 对科研范式的重构影响。文章旨在厘清“ 新型学术生态支撑体系”的内涵,提出平台应从信息聚合工具转型为智能协同中枢,服务人智交互共创全过程。通过结构性分析,文章构建平台升级的四维路径,即理念重塑、功能再造、机制嵌入与生态协同,并进一步提出战略、理论、操作3 个层面的系统对策。研究强调,以制度化方式嵌入GenAI 驱动的科研模式,是平台建设跃升为“国家知识基础设施”的关键路径。

关键词: 生成式人工智能&emsp, 新型学术生态支撑体系&emsp, 国家高端交流平台&emsp, 国家知识基础设施

Abstract:

With the rapid advancement of Generative AI GenAI this study investigates the emergingchallenges confronting the development of national advanced platforms for S&T information andcommunication in China. The analysis reveals that existing platforms have not sufficiently addressed thetransformative impact of GenAI on the research paradigms particularly with regard to strategicorientation functional architecture service frameworks and ethical governance. The paper aims toconceptualize a  new academic ecological support system and advocates for a repositioning ofplatforms—from information aggregation tools to intelligent hubs for collaborative knowledge productionthroughout the entire human-AI co-creation research cycle. Through a structural analysis approach thestudy delineates a four-dimensional pathway for platform upgrading conceptual reconfigurationfunctional reconstruction institutional embedding and ecosystem coordination. Based on thisframework it proposes integrated strategies across three levels—strategic theoretical and operational.The findings underscore that embedding GenAI-driven research processes within institutional structures isessential for transforming these platforms into core national knowledge infrastructures.

Key words:

Generative AI New academic ecological support system National advanced platforms forS&, T information and communication National knowledge infrastructure