Fu Ying, Jiao Jianhua, Liu Xingchuan

 Hubei University of Technology

Abstract：

The rapid development of large language models (LLMs) represented by ChatGPT has triggered a disruptive transformation in library service models, operational processes, and professional value systems. Against the backdrop of smart library construction and data-intensive scientific research paradigms, human-AI symbiosis has become the core logic of library operation in the new era. This study adopts a systematic literature review method, integrating domestic and foreign academic papers on LLM application, librarian competency, and library service innovation, to explore the connotation of human-AI symbiosis in libraries, the reconfiguration path of librarians’ professional roles, and the coping strategies for practical challenges. The results show that LLMs empower libraries in intelligent information retrieval, personalized resource recommendation, accessible services, and information literacy education, while bringing challenges such as technical substitution risks, diversified reader demands, professional psychological pressure, and ethical risks of AI applications. Librarians’ roles have shifted from traditional document managers and information consultants to AI collaboration specialists, data literacy educators, service innovators, ethical supervisors, and community connectors. To realize effective human-AI symbiosis, libraries need to promote librarians’ competency restructuring through skill upgrading, workflow reconstruction, mental health support, and ethical norm construction. This study enriches the theoretical system of human-AI symbiosis in information institutions and provides practical guidance for librarians’ role adaptation and library sustainable development in the digital-intelligence era.

Key Words：

large language models; human-AI symbiosis; librarian; role reconfiguration; digital literacy; library service innovation