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Integrity and misconduct, where does artificial intelligence lead?

2025Journal article Open access
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dc.contributor.authorNicholas, David
dc.contributor.authorHerman, Eti
dc.contributor.authorClark, David
dc.contributor.authorAbrizah, Abdullah
dc.contributor.authorRevez, Jorge, 1980-
dc.contributor.authorRodríguez‐Bravo, Blanca
dc.contributor.authorŚwigoń, Marzena
dc.contributor.authorXu, Jie
dc.contributor.authorWatkinson, Anthony
dc.date.accessioned2025-07-08T14:49:03Z
dc.date.available2025-07-08T14:49:03Z
dc.date.issued2025
dc.description.abstractThis paper, part of the third stage of the Harbingers project studying early career researchers (ECRs), focuses on the impact of artificial intelligence (AI) on scholarly communications. It concentrates on research integrity and misconduct, a ‘hot’ topic among the publishing community, in no small part due to the rise of AI. The interview-based study, supported by an extensive literature review, covers a convenience sample of 91 ECRs from all disciplines and half a dozen countries. It provides a new and fresh take on the subject, using the ‘voices’ of ECRs to describe their views and practices regarding integrity and misconduct. We show that ECRs are clearly aware of research misconduct and questionable practice with three-quarters saying so. A big indictment of the scholarly system, but, not surprising given a rising number of retractions and questionable journals. The main blame for this is levelled at the haste with which researchers publish and the volume of papers produced. ECRs also feel that things are likely to get worse with the advent of AI. They believe that they are aware of the problems and how to avoid the pitfalls but suspect that things are approaching a cliff-edge, which can only be avoided with strong policies and an overhaul of the reputational system.pt_PT
dc.description.sponsorshipThis work was supported by National Science Centre in Poland, 2022/45/B/HS2/00041.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNicholas, D., Herman, E., Clark, D., Abrizah, A., Revez, J., Rodríguez‐Bravo, B., Świgoń, M., Xu, J., & Watkinson, A. (2025). Integrity and Misconduct, Where Does Artificial Intelligence Lead? Learned Publishing, 38(3), e2013. https://doi.org/10.1002/leap.2013pt_PT
dc.identifier.doihttps://doi.org/10.1002/leap.2013pt_PT
dc.identifier.eissn0953-1513
dc.identifier.issn1741-4857
dc.identifier.urihttp://hdl.handle.net/10400.5/102082
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/10.1002/leap.2013pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectArtificial intelligencept_PT
dc.titleIntegrity and misconduct, where does artificial intelligence lead?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleLearned Publishingpt_PT
oaire.citation.volume38(3)pt_PT
person.familyNameManuel Rias Revez
person.givenNameJorge
person.identifierM-3096-2013
person.identifier.ciencia-idE412-383D-F3FA
person.identifier.orcid0000-0002-3058-943X
person.identifier.scopus-author-id57192803532
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication668528a9-01e3-4189-8bc4-1573004ec045
relation.isAuthorOfPublication.latestForDiscovery668528a9-01e3-4189-8bc4-1573004ec045

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