Huang, Y., Cox, A.M. orcid.org/0000-0002-2587-245X and Cox, J. (2023) Artificial Intelligence in academic library strategy in the United Kingdom and the Mainland of China. Journal of Academic Librarianship, 49 (6). 102772. ISSN 0099-1333
Abstract
There is growing recognition of the value of applying Artificial Intelligence (AI) in libraries. This study explores how academic libraries have responded to this opportunity at the level of strategy, what is the status of the application of AI, if any, and what are the different emphases of development comparing the UK and China. The data for the study was strategy documentation from high-ranking universities and their libraries. The sample consisted of the top 25 universities from the United Kingdom and top 25 from the Mainland of China according to the QS world university rankings. Explicit mention of Artificial Intelligence and related technologies is rarely found in strategic plans of universities in the UK but most Chinese universities mention them in their vision statements which focus on the development of new majors and research of the technology. Though several libraries have already implemented applications based on AI or claim to be “smart” or “intelligent” most academic library strategic plans or agendas do not emphasize AI. This is one of the first studies to explore the current status of AI applied in academic libraries as a sector and to compare experiences internationally.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Artificial intelligence; Machine Learning; Academic libraries; University libraries; Librarians; Strategy |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Sep 2023 10:59 |
Last Modified: | 07 Sep 2023 11:04 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.acalib.2023.102772 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:202883 |