ChatGPT: a case study on copyright challenges for generative artificial intelligence systems

Data de publicació electrònica: 29 d'agost de 2023

Bibliographic Details
Author: Lucchi, Nicola
Format: article
Status:Published version
Publication Date:2023
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/58627
Online Access:http://hdl.handle.net/10230/58627
http://dx.doi.org/10.1017/err.2023.59
Access Level:Open access
Keyword:Artificial intelligence
ChatGPT
copyright
data sharing
intellectual property
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spelling ChatGPT: a case study on copyright challenges for generative artificial intelligence systemsLucchi, NicolaArtificial intelligenceChatGPTcopyrightdata sharingintellectual propertyData de publicació electrònica: 29 d'agost de 2023This article focuses on copyright issues pertaining to generative artificial intelligence (AI) systems, with particular emphasis on the ChatGPT case study as a primary exemplar. In order to generate high-quality outcomes, generative AI systems require substantial quantities of training data, which may frequently comprise copyright-protected information. This prompts inquiries into the legal principles of fair use, the creation of derivative works and the lawfulness of data gathering and utilisation. The utilisation of input data for the purpose of training and enhancing AI models presents significant concerns regarding potential violations of copyright. This paper offers suggestions for safeguarding the interests of copyright holders and competitors, while simultaneously addressing legal challenges and expediting the advancement of AI technologies. This study analyses the ChatGPT platform as a case example to explore the necessary modifications that copyright regulations must undergo to adequately tackle the intricacies of authorship and ownership in the realm of AI-generated creative content.Cambridge University Press202420242023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/58627http://dx.doi.org/10.1017/err.2023.59reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglés© The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/586272026-05-29T05:05:01Z
dc.title.none.fl_str_mv ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
title ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
spellingShingle ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
Lucchi, Nicola
Artificial intelligence
ChatGPT
copyright
data sharing
intellectual property
title_short ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
title_full ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
title_fullStr ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
title_full_unstemmed ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
title_sort ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
dc.creator.none.fl_str_mv Lucchi, Nicola
author Lucchi, Nicola
author_facet Lucchi, Nicola
author_role author
dc.subject.none.fl_str_mv Artificial intelligence
ChatGPT
copyright
data sharing
intellectual property
topic Artificial intelligence
ChatGPT
copyright
data sharing
intellectual property
description Data de publicació electrònica: 29 d'agost de 2023
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/58627
http://dx.doi.org/10.1017/err.2023.59
url http://hdl.handle.net/10230/58627
http://dx.doi.org/10.1017/err.2023.59
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Cambridge University Press
publisher.none.fl_str_mv Cambridge University Press
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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