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ZENODO
Report . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Report . 2022
License: CC BY
Data sources: Datacite
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D3.5 AI Music Outputs: Challenges to the Copyright Legal Framework

Authors: Bulayenko, Oleksandr; Pedro Quintais, João; Gervais, Daniel; Poort, Joost;

D3.5 AI Music Outputs: Challenges to the Copyright Legal Framework

Abstract

This report examines the application of EU copyright and related rights law to outputs generated by or with the assistance of artificial intelligence (AI) systems, tools or techniques (AI outputs), with a focus on outputs in the musical domain. The Report examines the question: How can and should EU copyright and related rights law protect AI musical outputs? The interdisciplinary (legal and empirical) research involves: (i) analyzing of the protection of AI outputs under EU copyright and related rights law; (ii) examining the attribution of authorship and ownership to (natural and legal) persons involved in the creation or production of AI outputs; (iii) proposing interpretative guidelines and policy recommendations on increasing legal certainty regarding the protection, authorship, and ownership of copyright and related rights over AI outputs, especially music outputs. Please note: a screen-reader accessible version of this report can be downloaded via this link https://docs.google.com/uc?export=download&id=1eLXwjs0R3Q6tZtxzOt9vBGalDGkCEL7D

Keywords

related rights, EU copyright law, computer-generated works, online music, copyright, intellectual property, artificial intelligence, originality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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