Karapapa, Stavroula (2025) Copyright content as data: from human creativity to artificial intelligence generated innovation. In: A Research Agenda on EU Copyright Law. Edward Elgar, pp. 89-104. ISBN 9781803927329. Official URL: https://doi.org/10.4337/9781803927329.00012
Karapapa, Stavroula (2025) Copyright content as data: from human creativity to artificial intelligence generated innovation. In: A Research Agenda on EU Copyright Law. Edward Elgar, pp. 89-104. ISBN 9781803927329. Official URL: https://doi.org/10.4337/9781803927329.00012
Karapapa, Stavroula (2025) Copyright content as data: from human creativity to artificial intelligence generated innovation. In: A Research Agenda on EU Copyright Law. Edward Elgar, pp. 89-104. ISBN 9781803927329. Official URL: https://doi.org/10.4337/9781803927329.00012
Abstract
With the development of digitisation technologies and artificial intelligence, the use and re-use of copyright-protected works as data in the context of modern research capabilities has become a contested issue. This contribution discusses the intersection of copyright and data, focusing on three interrelated questions: to what extent, if at all, can copyright subsist in extracts of works, requiring, in essence, authorization from the copyright holder for the use and reuse of copyright-protected work as data? Secondly, should the copying of works to be used as data in text and data mining processes be considered stricto sensu an act of reproduction at all? And, finally, to what extent should copyright holders retain control over authorising the use of works as silos of data in light of and in relation to the exception permitting certain uses of text mining and data analytics?
Item Type: | Book Section |
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Divisions: | Faculty of Arts and Humanities Faculty of Arts and Humanities > Essex Law School |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 10 Apr 2025 08:43 |
Last Modified: | 10 Apr 2025 08:43 |
URI: | http://repository.essex.ac.uk/id/eprint/36918 |