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Regulating IP exclusion/inclusion on a global scale: the example of copyright vs. AI training

  • This article builds upon the literature on inclusion/inclusivity in IP law by applying these concepts to the example of the scraping and mining of copyright-protected content for the purpose of training an artificial intelligence (AI) system or model. Which mode of operation dominates in this technological area: exclusion, inclusion or even inclusivity? The features of AI training appear to call for universal and sustainable “inclusivity” instead of a mere voluntary “inclusion” of AI provider bots by copyright holders. As the overview on the copyright status of AI training activities in different jurisdictions and emerging laws on AI safety (such as the EU AI Act) demonstrates, the global regulatory landscape is, however, much too fragmented and dynamic to immediately jump to an inclusive global AI regime. For the time being, legally secure global AI training requires the voluntary cooperation between AI providers and copyright holders, and innovative techno-legal reasoning is needed on how to effectuate this inclusion.

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Metadaten
Author:Alexander PeukertGND
URN:urn:nbn:de:hebis:30:3-776550
Series (Serial Number):Arbeitspapiere / Fachbereich Rechtswissenschaft, Goethe-Universität = Research paper / Faculty of Law, Goethe University (2024,3)
Publisher:Goethe-Universität, Fachbereich Rechtswissenschaft
Place of publication:Frankfurt am Main
Document Type:Working Paper
Language:English
Date of Publication (online):2024/07/18
Date of first Publication:2024/07/18
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/07/18
Tag:AI; AI Act; artificial intelligence; copyright; inclusivity; scraping; text and data mining
Page Number:15
Institutes:Rechtswissenschaft / Rechtswissenschaft
Dewey Decimal Classification:3 Sozialwissenschaften / 34 Recht / 340 Recht
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht