关键词: 生成式人工智能, 图书馆服务, 人智共生, 服务模式

Abstract:

[Purpose/Significance] With the explosive development of generative artificial intelligence (GAI) technologies represented by ChatGPT and DeepSeek, GAI has fundamentally transformed the traditional service logic of libraries through natural language interaction, content generation, and multimodal comprehension capabilities, driving the transition from document storage centers to intelligent knowledge service hubs. In the realm of library services, GAI has evolved beyond its role as a mere retrieval tool, gradually transforming into a digital librarian capable of perception, reasoning, and even generation. The aim of this study is to adapt to the trend of highly autonomous intelligent agents in the GAI environment, address the limitations of traditional library technical support models, and provide theoretical references and practical pathways for the intelligent transformation of libraries. [Method/Process] While numerous achievements have been made in domestic and international research on library services in the GAI context, there remains a lack of systematic and comprehensive integration of library service models from the human-intelligence symbiosis perspective, making it difficult to adapt to the current trend of highly autonomous intelligent agents. On the basis of analyzing the evolution process of the human mechanism system in the development of library technology, including the tool assisted period, intelligent assisted period, and human intelligence symbiotic period, this paper elaborates on the core connotations of library human-intelligence symbiosis from three dimensions - cognitive, emotional, and value. It analyzes the practical logic of library human-intelligence symbiotic library services around three core mechanisms: cognitive dual enhancement, circular feedback, and emotional interaction. It innovates the library service paradigm in the GAI environment, reconstructs the library service model in the GAI context, and establishes a library human-intelligence symbiotic library service system. [Results/Conclusions] In the face of increasingly complex user demands and vast, heterogeneous data resources, service paradigms that rely solely on machines or unidirectional human input have been shown to be inadequate. The construction of a deeply coupled, complementary library human-intelligence symbiotic service model has become an inevitable choice. This study establishes the library human-intelligence symbiotic service concept of bidirectional empowerment and co-evolution between human and artificial intelligence, breaking the boundaries of human-machine duality and positioning GAI as a cognitive partner within the library service ecosystem, thereby advancing the transition from a tool-based to a symbiotic paradigm in library services. It constructs a library human-intelligence symbiotic service system architecture featuring "one base, dual engines, three interactions, and multi-scenarios" along with a data security support system covering the entire data lifecycle, algorithm decision-making process, and all interaction service scenarios. By internalizing GAI technology as a core productivity of libraries, it achieves cognitive offloading and enhancement while reshaping the depth and breadth of library knowledge services. In the future, with breakthroughs in cutting-edge technologies such as brain-computer interfaces, quantum computing, and generative artificial intelligence, human-intelligence symbiosis will advance to a deeper stage of consciousness coupling. Libraries will no longer merely serve as repositories of knowledge but will become pivotal nodes for the interactive evolution of collective human wisdom and artificial intelligence. This symbiosis represents not only an innovation in library service models but also the continuation and elevation of human knowledge transmission in the intelligent era, charting a new direction for the high-quality development of the library industry.

Key words: generative artificial intelligence, library service, human-intelligence symbiosis, service mode