Publicação
The relevance of deepfakes in the administration of criminal justice
| dc.contributor.author | Durães, Dalila | |
| dc.contributor.author | Freitas, Pedro Miguel | |
| dc.contributor.author | Novais, Paulo | |
| dc.date.accessioned | 2024-01-17T18:52:53Z | |
| dc.date.available | 2024-01-17T18:52:53Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Nowadays, it is challenging to distinguish between genuine content created by humans or deepfake created by deepfakes algorithms. Therefore, it is in the interests of society and nations to have systems that can notice and evaluate the content without human intervention. This paper presents the challenges of artificial intelligence, specifically machine learning and deep learning, in the fight against deepfake. In addition, it presents the relevance that deepfakes may have in the administration of criminal justice. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1007/978-3-031-41264-6_19 | pt_PT |
| dc.identifier.eid | 85180704391 | |
| dc.identifier.isbn | 9783031412639 | |
| dc.identifier.isbn | 9783031412646 | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/43676 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer Nature | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Administration | pt_PT |
| dc.subject | Criminal Justice | pt_PT |
| dc.subject | Deep learning | pt_PT |
| dc.subject | Deepfakes | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.title | The relevance of deepfakes in the administration of criminal justice | pt_PT |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 369 | pt_PT |
| oaire.citation.startPage | 351 | pt_PT |
| oaire.citation.title | Multidisciplinary perspectives on artificial intelligence and the law | pt_PT |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | bookPart | pt_PT |