AI4IRM与IRM4AI:驱动信息资源管理学科发展的双螺旋引擎  

AI4IRM and IRM4AI: The Dual Helix Engine Driving the Developmentof Information Resource Management

作　　者：王平 彭思源[1] WANG Ping;PENG Si-yuan(Center for Studies of Information Resources,Wuhan University,Wuhan,Hubei,430072,China;School of Information Management,Wuhan University,Wuhan,Hubei,430072,China)

机构地区：[1]武汉大学信息资源研究中心,湖北武汉430072 [2]武汉大学信息管理学院,湖北武汉430072

出　　处：《西华大学学报(哲学社会科学版)》2025年第1期11-23,共13页Journal of Xihua University(Philosophy & Social Sciences)

基　　金：国家社会科学基金重大项目“新一代人工智能的社会影响与风险治理研究”(项目编号:24&ZD186)。

摘　　要：在智能时代,人工智能与基础科学的交织融合已成为科学研究范式发展的新前沿,为信息资源管理学科研究范式的转型升级提供了方向和可能性。信息资源管理学科应充分发挥人工智能技术的渗透性、扩散性和颠覆性,立足于学科对人工智能发展的启示作用,推动人工智能与信息资源管理学科的深度耦合,构建AI+IRM学科研究新范式。首先从两种科研范式形态视角审视AI+IRM范式的生成逻辑,以形成对新范式的全面认识;其次探讨了AI+IRM的内涵,表现为AI4IRM和IRM4AI的“双螺旋引擎”共振驱动;然后着眼于学科研究范式变革下学科研究对象的转化,重构了AI4IRM范式下的信息链模型,分析了IRM4AI范式下人工智能各层次提升;最后讨论了人工智能与信息资源管理学科融合发展的三种悖论,包括“学科知识获取—解释深度幻觉”悖论、“学科研究效率—学科单一文化”悖论和“学科边界拓展—学科本体弱化”悖论。文章是对智能时代信息资源管理学科研究范式变革的初步思考,对于学科理论发展和实践创新具有重要的参考意义。In the age of intelligence,the convergence and integration of artificial intelligence(AI)with fundamental sciences have emerged as a new frontier for developing scientific research paradigms.This intersection offers promising directions and possibilities for the transformation and advancement of research paradigms in the field of information resource management(IRM).The discipline of IRM must fully harness the permeative,diffusive,and disruptive capabilities of AI technologies,with a focus on insights gained from its role in AI development.This will foster the deep integration of AI with IRM,ultimately constructing a novel research paradigm—what we term the AI+IRM paradigm.First,the generative logic of the AI+IRM paradigm is explored from the perspective of two forms of scientific research paradigms,providing a comprehensive understanding of this new framework.Next,the core con-cepts of AI+IRM are examined,manifesting as a"double-helix engine",driven by the reciprocal interactions of AI4IRM and IRM4AI.Following this,the shift in research objects under this paradigm transformation is analyzed,including a reconstruction of the informa-tion chain model within the AI4IRM paradigm and an exploration of the various levels of AI enhancement under the IRM4AI paradigm.Finally,three paradoxes resulting from the integration of AI and IRM are discussed:the"disciplinary knowledge acquisi-tion—illusion of depth understanding"paradox,the"disciplinary research efficiency—singular disciplinary culture"paradox,and the"disciplinary boundary expansion—weakening of disciplinary ontology"paradox.This paper represents an initial reflection on the transformation of the research paradigm in information resource management in the intelligent era.It offers valuable insights for both the theoretical development and practical innovation within the discipline.

关 键 词：人工智能 信息资源管理学科 科学研究范式 信息链 悖论 

分 类 号：G304[文化科学]