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Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information

dc.contributor.authorNaja, Iman
dc.contributor.authorMarkovic, Milan
dc.contributor.authorEdwards, Pete
dc.contributor.authorPang, Wei
dc.contributor.authorCottrill, Caitlin
dc.contributor.authorWilliams, Rebecca
dc.date.accessioned2022-08-08T07:40:01Z
dc.date.available2022-08-08T07:40:01Z
dc.date.issued2022-07-20
dc.identifier217626191
dc.identifieracfea1da-44ad-4f40-8e9c-684ff7a2fc0b
dc.identifier85134206355
dc.identifier000838516400001
dc.identifier.citationNaja , I , Markovic , M , Edwards , P , Pang , W , Cottrill , C & Williams , R 2022 , ' Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information ' , IEEE Access , vol. 10 , pp. 74383 - 74411 . https://doi.org/10.1109/ACCESS.2022.3188967en
dc.identifier.issn2169-3536
dc.identifier.otherORCID: /0000-0002-4527-9186/work/116105136
dc.identifier.urihttps://hdl.handle.net/2164/19023
dc.descriptionFunding information: This work was supported by an award made by the UKRI Digital Economy programme to the RAInS project (ref: EP/R033846/1 and EP/R03379X/1).en
dc.format.extent31
dc.format.extent22227842
dc.language.isoeng
dc.relation.ispartofIEEE Accessen
dc.subjectAccountabilityen
dc.subjectAI Systemsen
dc.subjectMachine Learningen
dc.subjectOntologyen
dc.subjectProvenanceen
dc.subjectQA76 Computer softwareen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectOtheren
dc.subjectEP/R03379X/1en
dc.subjectEP/R033846/1en
dc.subject.lccQA76en
dc.subject.lccQA75en
dc.titleUsing Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Informationen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Agents at Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2022.3188967
dc.identifier.vol10en


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