{"title":"Access revisited: AI training at the intersection of copyright and cybercrime laws","authors":"Célia Filipa Ferreira Matias","doi":"10.1016/j.clsr.2025.106149","DOIUrl":null,"url":null,"abstract":"<div><div>The rise of generative AI (GenAI) poses urgent questions for copyright law, particularly regarding whether AI training infringes on reproduction rights. Some jurisdictions have tried to reduce these uncertainties through new or existing exceptions. Articles 3 and 4 of European Union Directive 2019/790 and sections 243 and 244 of Singapore’s Copyright Act of 2021 are examples. Both exceptions are subject to the condition of ‘lawful access’. The interpretation of this concept, which is vague and undefined by law, is crucial to these exceptions, as it may, ultimately, deprive them of all usefulness. This paper seeks to unpack the meaning of lawful access and its inverse by drawing on other uses of the concept, namely in cybercrime law, and its underlying values. This analysis points towards an understanding of unlawful access as the circumvention of technological restrictions to access, such as paywalls. However, adopting such measures may reduce the content that is freely available in the digital sphere, thereby impoverishing society and depriving creators of a powerful tool for publicising their works. Finally, the paper considers possible solutions to this problem and their drawbacks.</div></div>","PeriodicalId":51516,"journal":{"name":"Computer Law & Security Review","volume":"57 ","pages":"Article 106149"},"PeriodicalIF":3.3000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Law & Security Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212473X25000227","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 0
Abstract
The rise of generative AI (GenAI) poses urgent questions for copyright law, particularly regarding whether AI training infringes on reproduction rights. Some jurisdictions have tried to reduce these uncertainties through new or existing exceptions. Articles 3 and 4 of European Union Directive 2019/790 and sections 243 and 244 of Singapore’s Copyright Act of 2021 are examples. Both exceptions are subject to the condition of ‘lawful access’. The interpretation of this concept, which is vague and undefined by law, is crucial to these exceptions, as it may, ultimately, deprive them of all usefulness. This paper seeks to unpack the meaning of lawful access and its inverse by drawing on other uses of the concept, namely in cybercrime law, and its underlying values. This analysis points towards an understanding of unlawful access as the circumvention of technological restrictions to access, such as paywalls. However, adopting such measures may reduce the content that is freely available in the digital sphere, thereby impoverishing society and depriving creators of a powerful tool for publicising their works. Finally, the paper considers possible solutions to this problem and their drawbacks.
期刊介绍:
CLSR publishes refereed academic and practitioner papers on topics such as Web 2.0, IT security, Identity management, ID cards, RFID, interference with privacy, Internet law, telecoms regulation, online broadcasting, intellectual property, software law, e-commerce, outsourcing, data protection, EU policy, freedom of information, computer security and many other topics. In addition it provides a regular update on European Union developments, national news from more than 20 jurisdictions in both Europe and the Pacific Rim. It is looking for papers within the subject area that display good quality legal analysis and new lines of legal thought or policy development that go beyond mere description of the subject area, however accurate that may be.