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Artificial intelligence systems-aided news and copyright: assessing legal implications for journalism practices

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dc.contributor.author Díaz Noci, Javier
dc.date.accessioned 2020-05-12T08:32:57Z
dc.date.available 2020-05-12T08:32:57Z
dc.date.issued 2020
dc.identifier.citation Díaz-Noci J. Artificial intelligence systems-aided news and copyright: assessing legal implications for journalism practices. Future Internet. 2020 May;12(5):85. DOI: 10.3390/fi12050085
dc.identifier.issn 1999-5903
dc.identifier.uri http://hdl.handle.net/10230/44506
dc.description.abstract Automated news, or artificial intelligence systems (AIS)-aided production of news items, has been developed from 2010 onwards. It comprises a variety of practices in which the use of data, software and human intervention is involved in diverse degrees. This can affect the application of intellectual property and copyright law in many ways. Using comparative legal methods, we examine the implications of them for some legal categories, such as authorship (and hence required originality) and types of works, namely collaborative, derivative and, most especially, collective works. Sui generis and neighboring rights are also considered for examination as being appliable to AIS-aided news outputs. Our main conclusion is that the economics intellectual property rights are guaranteed in any case through collective works. We propose a shorter term of duration before entering public domain. Still, there is a place for more authorial, personal rights. It shows, however, more difficulty when coming to moral rights, especially in Common Law countries.
dc.description.sponsorship This research was funded by the Ministry of Science and Innovation of Spain, grant number RTI2018-095775-B-C43 (Project: News, Networks and users in the hybrid media system. Transformation of the media industry and the news in the post-industrial era).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher MDPI
dc.relation.ispartof Future Internet. 2020 May;12(5):85
dc.rights © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Artificial intelligence systems-aided news and copyright: assessing legal implications for journalism practices
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.3390/fi12050085
dc.subject.keyword Automated news
dc.subject.keyword Intellectual property
dc.subject.keyword Copyright law
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-095775-B-C43
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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