A Semantic Framework to Support AI System Accountability and Audit
| dc.contributor.author | Naja, Iman | |
| dc.contributor.author | Markovic, Milan | |
| dc.contributor.author | Edwards, Pete | |
| dc.contributor.author | Cottrill, Caitlin | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Trusted Things and Communities | en |
| dc.contributor.institution | University of Aberdeen.Centre for Health Data Science | en |
| dc.contributor.institution | University of Aberdeen.Engineering | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.contributor.institution | University of Aberdeen.Agents at Aberdeen | en |
| dc.date.accessioned | 2021-06-07T16:24:01Z | |
| dc.date.available | 2021-06-07T16:24:01Z | |
| dc.date.issued | 2021-06-06 | |
| dc.description | The Semantic Web - 18th International Conference, ESWC 2021, Proceedings Springer Science and Business Media Deutschland GmbH ISBN: 9783030773847 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ISSN (Print): 0302-9743 ISSN (Electronic): 1611-3349 Volume: 12731 LNCS | en |
| dc.format.extent | 17 | |
| dc.format.extent | 587391 | |
| dc.format.extent | 587464 | |
| dc.identifier | 209123729 | |
| dc.identifier | 72f84b2d-53ff-4550-b87a-2f17d9b68998 | |
| dc.identifier | 85111162978 | |
| dc.identifier | 000711645800010 | |
| dc.identifier.citation | Naja, I, Markovic, M, Edwards, P & Cottrill, C 2021, A Semantic Framework to Support AI System Accountability and Audit. in The Semantic Web. ESWC 2021. Lecture Notes in Computer Science. vol. 12731, Springer Nature Switzerland AG, pp. 160-176, 18th European Semantic Web Conference, ESWC 2021, Hersonissos, Greece, 6/06/21. https://doi.org/10.1007/978-3-030-77385-4_10 | en |
| dc.identifier.citation | workshop | en |
| dc.identifier.doi | 10.1007/978-3-030-77385-4_10 | |
| dc.identifier.isbn | 978-3-030-77384-7 | |
| dc.identifier.isbn | 978-3-030-77385-4 | |
| dc.identifier.other | ORCID: /0000-0002-4527-9186/work/95222895 | |
| dc.identifier.other | ORCID: /0000-0001-6634-3266/work/95222925 | |
| dc.identifier.uri | https://hdl.handle.net/2164/16643 | |
| dc.identifier.url | https://openreview.net/forum?id=bvMbdK8JW1k | en |
| dc.identifier.url | https://2021.eswc-conferences.org/ | en |
| dc.language.iso | eng | |
| dc.publisher | Springer Nature Switzerland AG | |
| dc.relation.ispartof | The Semantic Web. ESWC 2021. Lecture Notes in Computer Science | en |
| dc.subject | AI | en |
| dc.subject | Provenance | en |
| dc.subject | Accountability | en |
| dc.subject | Ontology | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | A Semantic Framework to Support AI System Accountability and Audit | en |
| dc.type | Conference item | en |
