Abstract:

[Purpose/Significance] Generative artificial intelligence is reshaping the ways in which information is accessed, organized, generated, evaluated, and applied. In the field of information resources management, this transformation represents not only a technological change, but also a paradigm shift that necessitates a re-evaluation of its research objectives, theoretical principles, service models, and institutional obligations. Against the background of constructing an independent knowledge system for philosophy and social sciences with Chinese characteristics, this paper takes the transition from human-computer interaction to human-AI collaboration as its central perspective. It aims to clarify how information resources management in China can incorporate AI into the internal logic of disciplinary reconstruction, rather than treating it merely as an external tool for improving efficiency. The study highlights the theoretical and practical significance of building concepts, frameworks, and service systems rooted in Chinese practice while maintaining the capacity for global academic dialogue. [Method/Process] This study adopts methods of theoretical interpretation and literature review. With a focus on four research threads - paradigm transition, core dimensions, system reconstruction, and practical pathways - this analysis explores the role of human-AI collaboration in developing an independent knowledge system for managing information resources in China. Specifically, it examines the shift from command-driven interaction to understanding intentions, from tool-based assistance to cognitive partnership, and from interface response to intelligent coupling. It also discusses the value, resource, and governance foundations of disciplinary construction, the reconstruction of knowledge organization and semantic services, and the practical approaches of discourse creation, interdisciplinary integration, and talent cultivation. [Results/Conclusions] The study concludes that the construction of an independent knowledge system for information resources management in China should take human-AI collaboration as a key entry point and proceed through three interrelated dimensions: core dimensions, system reconstruction, and practical pathways. In terms of its core dimensions, the discipline should provide three key areas of support: resources, services, and ethics. Chinese cultural resources should be transformed from retrievable resources into collaborative corpora that provide a semantic foundation of Chinese discourse, Chinese narratives, and Chinese cultural meanings. Knowledge services should move from general information provision to collaborative knowledge services oriented toward national strategic needs, thereby developing trustworthy, controllable, verifiable, and traceable vertical service systems. Disciplinary ethics should shift from instrumental rationality to people-centered collaborative ethics, safeguarding human agency, professional judgment, critical reflection, and accountability in intelligent knowledge production and public decision-making. In terms of system reconstruction, the discipline should promote three structural transformations. Knowledge association should move from static organization to collaborative generation, so that knowledge resources can support semantic understanding, evidence integration, and responsible content generation. Interaction mechanisms should move from interface response to semantic negotiation, enabling users and intelligent agents to jointly clarify intentions, compare evidence, refine questions, and form judgments. Service scenarios should move from general supply to vertical collaboration, embedding human-AI collaboration into smart libraries, archival intelligence, digital humanities, public knowledge services, enterprise intelligence, and other domain-specific contexts. Through these transformations, information resources management can move beyond resource management and information provision toward a human-AI collaborative knowledge production system for complex knowledge tasks. In terms of practical pathways, future development should focus on refining original concepts of human-AI collaboration, building interdisciplinary research mechanisms for human-AI collaboration, and cultivating digital-intelligent governance talents. These pathways can connect theoretical innovation, methodological integration, scenario-based validation, and institutional construction. Through sustained efforts in discourse creation, research organization, and talent development, information resources management in China can establish an independent disciplinary knowledge system with Chinese standpoint, Chinese semantics, and international explanatory power.

Key words: information resource management, library, information and archives management, independent knowledge system, philosophy and social sciences with Chinese characteristics, human-intelligence collaboration, generative artificial intelligence