Hui Wang

Hui Wang

Hui Wang

Library science, Artificial intelligence literacy, Digital intelligence era, KSAVE Framework, Human-machine collaboration, Data ethics, Intelligent service scenarios, Literacy cultivation pathways.

In the digital intelligence era, amid knowledge ecosystem transformation and library service intelligent upgrading, Artificial Intelligence (AI) literacy has become a pivotal competency for library science to enhance its core competitiveness. Beyond technical proficiency, it integrates technological cognition, information insight, and professional expertise, evolving from traditional information literacy to a paradigm of "technological cognition, scenario adaptation, ethical judgment, and value commitment". Based on library science’s professional traits, this paper develops the KSAVE AI Literacy Framework—five interrelated dimensions: Knowledge (interdisciplinary integration), Skills (AI tool application & problem-solving), Attitudes (learning openness & critical thinking), Ethics (data privacy & academic norms), and Values (humanistic care & knowledge equity). It further proposes three cultivation pathways: a "theory-tool-ethics" trinity curriculum (educational system), a collaborative model of in-school training, industry-academia cooperation, and international benchmarking (practical empowerment), and resource provision, activity-driven initiatives, and librarian capacity building (ecosystem development). This study guides library science in adapting to AI advancement, balancing technical rationality and humanistic spirit, and enabling librarians to evolve from technology users to knowledge ecosystem co-builders—ultimately safeguarding libraries’ public service and knowledge dissemination values in the digital intelligence era.

© 2025, the Authors. Published by ISCCAC

This is an open access article distributed under the CC BY-NC license