Generative AI-enabled Smart Knowledge Services in University Libraries: Technical Routes, Service Scenarios, and Governance
Abstract
and governance requirements for smart knowledge services. The review finds that credible implementation depends less on a stand-alone chatbot than on the coordination of trusted resources, local knowledge bases, retrieval-augmented generation, librarian review and clear service
rules. University libraries should begin with controllable scenarios such as database navigation, reference consultation, reading support and
AI literacy education. Generative AI is therefore better understood as service-model innovation: its value lies in linking model capability with
institutional collections, subject expertise and public responsibility.
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DOI: http://dx.doi.org/10.70711/frim.v4i8.10005
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