dc.contributor.author | Padovan, PH | en_US |
dc.contributor.author | Martins, CM | en_US |
dc.contributor.author | Reed, C | en_US |
dc.date.accessioned | 2023-01-09T16:44:55Z | |
dc.date.issued | 2023 | en_US |
dc.identifier.issn | 0924-8463 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/83546 | |
dc.format.extent | 133 - 167 | en_US |
dc.relation.ispartof | ARTIFICIAL INTELLIGENCE AND LAW | en_US |
dc.subject | Explainable artificial intelligence (XAI) | en_US |
dc.subject | Explainability | en_US |
dc.subject | Liability | en_US |
dc.title | Black is the new orange: how to determine AI liability | en_US |
dc.type | Article | |
dc.identifier.doi | 10.1007/s10506-022-09308-9 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000742834800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 1 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 31 | en_US |