Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37795
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJowsey, Tanishaen_UK
dc.contributor.authorBraun, Virginiaen_UK
dc.contributor.authorClarke, Victoriaen_UK
dc.contributor.authorLupton, Deborahen_UK
dc.contributor.authorFine, Michelleen_UK
dc.contributor.otherJasper, Carolen_UK
dc.date.accessioned2026-01-24T01:25:14Z-
dc.date.available2026-01-24T01:25:14Z-
dc.date.issued2025-12-17en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37795-
dc.description.abstractFour hundred and nineteen experienced qualitative researchers from 32 countries invite readers of Qualitative Inquiry to consider their position on use of generative artificial intelligence (GenAI) for qualitative research. We hold the position that analytic approaches such as reflexive thematic analysis are human research practices requiring a subjective, positioned, and reflexive researcher and therefore the use of GenAI in such approaches is not methodologically congruent. We additionally reject GenAI for reflexive qualitative approaches on the grounds of social and environmental justice.en_UK
dc.language.isoenen_UK
dc.publisherSAGE Publicationsen_UK
dc.relationJowsey T, Braun V, Clarke V, Lupton D & Fine M (2025) We reject the use of generative artificial intelligence for reflexive qualitative research. Jasper C (Other) <i>Qualitative Inquiry</i>. https://doi.org/10.1177/107780042514018en_UK
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectgenerative artificial intelligenceen_UK
dc.subjectreflexiveen_UK
dc.subjectqualitativeen_UK
dc.subjectjusticeen_UK
dc.subjectmethodologicalen_UK
dc.subjecthumanen_UK
dc.titleWe reject the use of generative artificial intelligence for reflexive qualitative researchen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1177/107780042514018en_UK
dc.citation.jtitleQualitative Inquiryen_UK
dc.citation.issn1552-7565en_UK
dc.citation.issn1077-8004en_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailcarol.jasper@stir.ac.uken_UK
dc.citation.date17/12/2025en_UK
dc.contributor.affiliationBond Universityen_UK
dc.contributor.affiliationUniversity of Aucklanden_UK
dc.contributor.affiliationUniversity of the West of Englanden_UK
dc.contributor.affiliationUniversity of New South Walesen_UK
dc.contributor.affiliationCarleton Universityen_UK
dc.contributor.affiliationPsychologyen_UK
dc.identifier.wtid2227417en_UK
dc.contributor.orcid0009-0005-7834-1627en_UK
dc.date.accepted2025-11-21en_UK
dcterms.dateAccepted2025-11-21en_UK
dc.date.filedepositdate2026-01-20en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorJowsey, Tanisha|en_UK
local.rioxx.authorBraun, Virginia|en_UK
local.rioxx.authorClarke, Victoria|en_UK
local.rioxx.authorLupton, Deborah|en_UK
local.rioxx.authorFine, Michelle|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorJasper, Carol|0009-0005-7834-1627en_UK
local.rioxx.freetoreaddate2026-01-20en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-01-20|en_UK
local.rioxx.filenamejowsey-et-al-2025-we-reject-the-use-of-generative-artificial-intelligence-for-reflexive-qualitative-research.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1552-7565en_UK
Appears in Collections:Psychology Journal Articles

Files in This Item:
File Description SizeFormat 
jowsey-et-al-2025-we-reject-the-use-of-generative-artificial-intelligence-for-reflexive-qualitative-research.pdfFulltext - Published Version172.17 kBAdobe PDFView/Open


This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.