dc.contributor.author | Díaz Noci, Javier | |
dc.contributor.author | Peña Fernández, Simón ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | Meso Ayerdi, Koldobika | |
dc.contributor.author | Larrondo Ureta, Ainara | |
dc.date.accessioned | 2024-05-16T14:12:02Z | |
dc.date.available | 2024-05-16T14:12:02Z | |
dc.date.issued | 2024-05-14 | |
dc.identifier.citation | Tripodos (55) : (2024) // Article ID 03 | es_ES |
dc.identifier.issn | 1138-3305 | |
dc.identifier.uri | http://hdl.handle.net/10810/67993 | |
dc.description.abstract | The emergence of ChatGPT and other related artificial intelligence systems has posed many questions upon the impact that such tools could have on some jobs, including media workers. Serious legal concerns have arisen regarding the learning practices of AI-related companies such as OpenAI and Google. These concerns involve crawling and extracting presumably unauthorized copyright works from news repositories, whose rightholders are often media companies. In this article, we aim to categorize the newsroom practices and routines affected by artificial intelligence. We also explore copyright-law related issues, including AI-assisted reporting, its impact on journalists and the media workforce, SEO and commercial strategies, as well as training and blocking AI engines. The legal solutions applied to solve those questions are also addressed, including technical solutions, fair use guidelines and legal solutions (litigation, legislative reform, and negotiation). Our conclusion is twofold: first, in the unequal fight against artificial intelligence systems, a utilitarian and entrepreneurial conception of intellectual property is enforced; and second, the position of journalists as authors is weakening. | es_ES |
dc.description.sponsorship | This article is one of the results of the research funded projects:Automated counter narratives against misinformation and hate speech for journalists and social media. Ministry of Science and Innovation (Spain), 2023-2024TED2021-130810B-C22.Impact of artificial intelligence and algorithms on online media, journalists and audiences. Ministry of Science and InnovationPID2022-138391OB-I00It is also a result of a research stay at University College Dublin (Ireland), 1 September 2023 – 29 February 2024, funded by a Salvador de Madariaga mobility grant, Ministry of Universities (Spain). | |
dc.language.iso | eng | es_ES |
dc.publisher | Ramon Llull University | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/TED2021-130810B-C22 | |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2022-138391OB-I00 | |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ | |
dc.subject | journalism | es_ES |
dc.subject | media | es_ES |
dc.subject | artificial intelligence | es_ES |
dc.subject | news | es_ES |
dc.subject | communication | es_ES |
dc.subject | compensation | es_ES |
dc.subject | journalists | es_ES |
dc.subject | copyright | es_ES |
dc.title | The influence of AI in the media work force: How companies use an array of legal remedies | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | Copyright (c) 2024 Tripodos. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. | es_ES |
dc.relation.publisherversion | https://tripodos.com/index.php/Facultat_Comunicacio_Blanquerna/article/view/1113 | es_ES |
dc.identifier.doi | 10.51698/tripodos.2024.55.03 | |
dc.departamentoes | Periodismo | es_ES |
dc.departamentoeu | Kazetaritza | es_ES |