Exploration and practice of knowledge services in university libraries driven by artificial intelligence

Abstract

In the era of digital-intelligent transformation, the rapid development of artificial intelligence (AI) technology is reshaping users’ knowledge service demands. This transformation is driving university libraries to evolve from a traditional resource-centered model to a knowledge innovation-centered paradigm. This article adopts a case study methodology to systematically review the evolution of knowledge services, from paper-based resource services to intelligent services. Focusing on four key dimensions: technology empowerment, demand-driven approaches, scenario expansion, and ecosystem reconstruction, we innovatively propose an AI-centered, multi-tiered knowledge innovation service matrix covering the technical, demand, scenario, and service layers. Building upon this framework, we use the Beijing Institute of Technology Library as an empirical case study. The article elaborates on the practical scenarios of the “Five Centers”: Resource Collaboration Center, Cultural Heritage Center, Knowledge Innovation Center, Future Learning Center, and International Research Center. Key AI-driven initiatives are presented for enhancing resource provision, cultural communication, decision support, research-learning support, and global academic influence. Findings from both research and practice suggest that AI technology is not only reshaping the entire chain of knowledge production and dissemination within university libraries, but also transforming their role from passive service providers to active agents of innovation, which provides intelligent support for the development of China’s “Double First-Class” initiative.