Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM)
dc.contributor.author | Baguley, Kathryn | |
dc.contributor.other | Hyde, Richard | |
dc.contributor.other | Fischer, Joel | |
dc.coverage.spatial | United Kingdom | en_UK |
dc.coverage.temporal | 2021-2024 | en_UK |
dc.date.accessioned | 2024-07-24T12:25:27Z | |
dc.date.available | 2024-07-24T12:25:27Z | |
dc.date.issued | 2024-09-01 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/11445 | |
dc.description.abstract | Data supporting the PhD thesis Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM). Data collected between 2021 and 2024. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.lcsh | Artificial intelligence -- Law and legislation | en_UK |
dc.subject.lcsh | Decision making -- Data processing | en_UK |
dc.subject.lcsh | Information storage and retrieval systems -- Decision making | en_UK |
dc.subject.lcsh | Liability (Law) | en_UK |
dc.subject.lcsh | Data protection -- Law and legislation | en_UK |
dc.title | Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM) | en_UK |
dc.type | Dataset | en_UK |
dc.identifier.doi | http://doi.org/10.17639/nott.7438 | |
dc.subject.free | GDPR; AI; Automated Decision-Making; Accountability; Tools | en_UK |
dc.subject.jacs | Law | en_UK |
dc.subject.lc | K Law::K Law (General) | en_UK |
dc.date.collection | 2021-2024 | en_UK |
uon.division | University of Nottingham, UK Campus::Faculty of Social Sciences::School of Law | en_UK |
uon.funder.controlled | Engineering & Physical Sciences Research Council | en_UK |
uon.datatype | Transcripts, data tables; | en_UK |
uon.grant | EP/S023305 | en_UK |
uon.grant | EP/V00784X/1 | en_UK |
uon.collectionmethod | Semi-structured interviews, questionnaires | en_UK |
uon.legal | All personal data is anonymised. | en_UK |
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