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dc.contributor.authorNaja, Iman
dc.contributor.authorMarkovic, Milan
dc.contributor.authorEdwards, Pete
dc.contributor.authorCottrill, Caitlin
dc.date.accessioned2021-04-08T10:39:01Z
dc.date.available2021-04-08T10:39:01Z
dc.date.issued2021-06-06
dc.identifier.citationNaja , I , Markovic , M , Edwards , P & Cottrill , C 2021 , ' A Semantic Framework to Support AI System Accountability and Audit ' , Paper presented at ESWC 2021 , Hersonissos , Greece , 6/06/21 - 6/06/21 .en
dc.identifier.citationworkshopen
dc.identifier.otherPURE: 188599733
dc.identifier.otherPURE UUID: 72f84b2d-53ff-4550-b87a-2f17d9b68998
dc.identifier.urihttps://hdl.handle.net/2164/16199
dc.language.isoeng
dc.rightsThe final authenticated version is available online at https://doi.org/[insert DOI].” The DOI (Digital Object Identifier) can be found at the bottom of the first page of the published paperen
dc.subjectAIen
dc.subjectProvenanceen
dc.subjectAccountabilityen
dc.subjectOntologyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleA Semantic Framework to Support AI System Accountability and Auditen
dc.typeConference paperen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.NCS School Administrationen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computer Science and Informaticsen
dc.contributor.institutionUniversity of Aberdeen.Engineering (Research Theme)en
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.urlhttps://openreview.net/forum?id=bvMbdK8JW1ken
dc.identifier.urlhttps://2021.eswc-conferences.org/en


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