Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63693
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dc.contributor.authorMcLean, Mark Aen
dc.contributor.authorRoberts, David Andrewen
dc.contributor.authorGibbs, Martinen
dc.date.accessioned2024-10-26T07:14:29Z-
dc.date.available2024-10-26T07:14:29Z-
dc.date.issued2024-07-
dc.identifier.citationHistorical Methods, 57(3), p. 146-162en
dc.identifier.issn1940-1906en
dc.identifier.issn0161-5440en
dc.identifier.urihttps://hdl.handle.net/1959.11/63693-
dc.description.abstract<p>This article presents the findings of an experiment in the use of Artificial Intelligence text generation processes to convert historical 'big data' into narrative text. Using an extensive collection of records pertaining to the Australian colonial settlement of Norfolk Island in the South Pacific (1788–1814), we investigate Generative Large Language Model technology for converting tabulated data from the site into short pieces of novel text, describing the lives of transported convicts and free individuals recorded in our databases. These personalized stories are assessed for fluency and factual correctness. Using this process, we uncover some instructive problems and caveats. We detect AI's inherent tendency toward bias and uncritical perspectives, including potentially offensive stereotypes. We also discover an unwelcome tendency to summarize data. So, whilst the outputs are for the most part effective and functional, we find that the best results still require artful human intervention to fully capture the most human aspects of history and heritage research.</p>en
dc.languageenen
dc.publisherRoutledgeen
dc.relation.ispartofHistorical Methodsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleGhosts and the machine: testing the use of Artificial Intelligence to deliver historical life course biographies from big dataen
dc.typeJournal Articleen
dc.identifier.doi10.1080/01615440.2024.2398455en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameMark Aen
local.contributor.firstnameDavid Andrewen
local.contributor.firstnameMartinen
local.profile.schoolSchool of Humanities, Arts and Social Sciencesen
local.profile.schoolSchool of Humanities, Arts and Social Sciencesen
local.profile.emaildrobert9@une.edu.auen
local.profile.emailmgibbs3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage146en
local.format.endpage162en
local.peerreviewedYesen
local.identifier.volume57en
local.identifier.issue3en
local.title.subtitletesting the use of Artificial Intelligence to deliver historical life course biographies from big dataen
local.access.fulltextYesen
local.contributor.lastnameMcLeanen
local.contributor.lastnameRobertsen
local.contributor.lastnameGibbsen
dc.identifier.staffune-id:drobert9en
dc.identifier.staffune-id:mgibbs3en
local.profile.orcid0000-0003-0599-0528en
local.profile.orcid0000-0001-8158-7613en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/63693en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGhosts and the machineen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMcLean, Mark Aen
local.search.authorRoberts, David Andrewen
local.search.authorGibbs, Martinen
local.uneassociationYesen
dc.date.presented2024-
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2024en
local.year.presented2024en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/6bebd4f0-9761-46ee-9f15-7172d86dcbbcen
local.subject.for2020430302 Australian historyen
local.subject.for2020430306 Digital historyen
local.subject.seo2020130703 Understanding Australia’s pasten
local.subject.seo2020220301 Digital humanitiesen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.date.moved2024-10-28en
Appears in Collections:Journal Article
School of Humanities, Arts and Social Sciences
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