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dc.contributor.authorVesala, Juha-
dc.date.accessioned2023-09-29T02:02:38Z-
dc.date.available2023-09-29T02:02:38Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s40319-023-01301-2-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/9357-
dc.descriptionCC-BYvi
dc.description.abstractArtificial intelligence offers promising applications for content production. However, their development faces significant copyright issues because it involves reproduction of protected subject matter and requires datasets so large that obtaining licences from all rightholders is unfeasible. These issues potentially hinder technological development and content production. On the other hand, some AI applications can threaten the interests and incentives of those who create works and subject matter that are protected by related rights. This article examines whether EU copyright and antitrust law are capable of addressing these challenges. It identifies possibilities and obstacles in applying exceptions for text and data mining (TDM) and temporary copying to the development of artificial creativity (AC) applications. The article also examines mechanisms by which EU antitrust law facilitates access to copyright-protected training materials and licences – an important complement to the copyright exceptions.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectTDMvi
dc.subjectACvi
dc.titleDeveloping Artificial Intelligence-Based Content Creation: Are EU Copyright and Antitrust Law Fit for Purpose?vi
dc.typeBookvi
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