Cox, A.M. orcid.org/0000-0002-2587-245X, Pinfield, S. and Rutter, S. (2019) The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech, 37 (3). pp. 418-435. ISSN 0737-8831
Abstract
Purpose The last few years have seen a surge of interest in artificial intelligence (AI). The purpose of this paper is to capture a snapshot of perceptions of the potential impact of AI on academic libraries and to reflect on its implications for library work.
Design/methodology/approach The data for the study were interviews with 33 library directors, library commentators and experts in education and publishing.
Findings Interviewees identified impacts of AI on search and resource discovery, on scholarly publishing and on learning. Challenges included libraries being left outside the focus of development, ethical concerns, intelligibility of decisions and data quality. Some threat to jobs was perceived. A number of potential roles for academic libraries were identified such as data acquisition and curation, AI tool acquisition and infrastructure building, aiding user navigation and data literacy.
Originality/value This is one of the first papers to examine current expectations around the impact of AI on academic libraries. The authors propose the paradigm of the intelligent library to capture the potential impact of AI for libraries.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 Emerald Publishing Limited. This is an author produced version of a paper subsequently published in Library Hi Tech. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Academic libraries; University libraries; Data mining; Artificial intelligence; Librarians; Machine learning |
Dates: |
|
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: | 17 Oct 2018 09:43 |
Last Modified: | 19 Sep 2019 07:39 |
Published Version: | https://doi.org/10.1108/LHT-08-2018-0105 |
Status: | Published |
Publisher: | Emerald |
Refereed: | Yes |
Identification Number: | 10.1108/LHT-08-2018-0105 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137254 |
Download
Filename: The_intelligent_library_11082018_anon.pdf
Licence: CC-BY-NC 4.0