{"title":"ChatGPT: A Case Study on Copyright Challenges for Generative Artificial Intelligence Systems","authors":"N. Lucchi","doi":"10.1017/err.2023.59","DOIUrl":null,"url":null,"abstract":"\n This 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.","PeriodicalId":46207,"journal":{"name":"European Journal of Risk Regulation","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Risk Regulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/err.2023.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 2
Abstract
This 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.
期刊介绍:
European Journal of Risk Regulation is an interdisciplinary forum bringing together legal practitioners, academics, risk analysts and policymakers in a dialogue on how risks to individuals’ health, safety and the environment are regulated across policy domains globally. The journal’s wide scope encourages exploration of public health, safety and environmental aspects of pharmaceuticals, food and other consumer products alongside a wider interpretation of risk, which includes financial regulation, technology-related risks, natural disasters and terrorism.