| dc.date.accessioned | 2023-01-16T08:15:21Z | |
| dc.date.available | 2023-01-16T08:15:21Z | |
| dc.date.created | 2023-01-10T10:57:17Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Ørstavik, Inger Berg . Access to data for training algorithms in machine learning: copyright law and "right-stacking". Artificial Intelligence and the Media - Reconsidering Rights and Responsibilities. 2022, 272-296 Edward Elgar Publishing | |
| dc.identifier.uri | http://hdl.handle.net/10852/98788 | |
| dc.language | EN | |
| dc.publisher | Edward Elgar Publishing | |
| dc.title | Access to data for training algorithms in machine learning: copyright law and "right-stacking" | |
| dc.title.alternative | ENEngelskEnglishAccess to data for training algorithms in machine learning: copyright law and "right-stacking" | |
| dc.type | Chapter | |
| dc.creator.author | Ørstavik, Inger Berg | |
| cristin.unitcode | 185,12,2,0 | |
| cristin.unitname | Institutt for privatrett | |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| dc.identifier.cristin | 2103885 | |
| dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=Artificial Intelligence and the Media - Reconsidering Rights and Responsibilities&rft.spage=272&rft.date=2022 | |
| dc.identifier.startpage | 272 | |
| dc.identifier.endpage | 296 | |
| dc.identifier.pagecount | 311 | |
| dc.identifier.doi | https://doi.org/10.4337/9781839109973.00019 | |
| dc.type.document | Bokkapittel | |
| dc.type.peerreviewed | Peer reviewed | |
| dc.source.isbn | 9781839109966 | |
| dc.type.version | AcceptedVersion | |
| cristin.btitle | Artificial Intelligence and the Media - Reconsidering Rights and Responsibilities | |