Investigating Librarian Perspectives on Generative AI: A Mixed-Methods R&D Initiative

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dc.audienceAudience::Reference and Information Services Sectionen_US
dc.contributor.authorSolheim Johansen, Jesper
dc.contributor.authorHeadley, Christian
dc.coverage.spatialLocation::Norwayen_US
dc.date.accessioned2023-10-08T13:32:01Z
dc.date.available2023-10-08
dc.date.available2023-10-08T13:32:01Z
dc.date.issued2023-10-08
dc.description.abstractThis research delves into librarians' views on generative AI in the realm of information retrieval. It included interactive workshops with 52 librarians from 21 institutions, who shared their thoughts on the benefits and concerns of using AI in libraries. The workshops led to 25 identified themes, 16 of which expressed concerns about AI adoption. A survey was also conducted, focusing on the ethics of implementing Large Language Models (LLMs) in library services. Participants rated the ethics of eight hypothetical LLM use cases. The responses indicated varied perceptions of the ethics of different LLM use cases. The project, still active, aims to offer insights into attitudes toward AI, particularly LLMs, in library services. The findings will guide future AI development that addresses ethical issues associated with generative AI in library services.en_US
dc.identifier.urihttps://2023.ifla.org/poster-sessions/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/2950
dc.language.isoenen_US
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)en_US
dc.relation.ispartofseries88th IFLA World Library and Information Congress (WLIC), 2023 Rotterdam;Poster Sessions
dc.rights.holderJesper Solheim Johansenen_US
dc.rights.holderChristian Headleyen_US
dc.rights.licenseCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSubject::Artificial intelligenceen_US
dc.subjectSubject::Information retrievalen_US
dc.subjectSubject::Ethicsen_US
dc.titleInvestigating Librarian Perspectives on Generative AI: A Mixed-Methods R&D Initiativeen_US
dc.typeEvents Materialsen_US
dc.typePostersen_US
ifla.oPubId0en_US

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