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

Autor: Bulayenko, Oleksandr, Pedro Quintais, João, Gervais, Daniel, Poort, Joost
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6405795
Popis: 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 linkhttps://docs.google.com/uc?export=download&id=1eLXwjs0R3Q6tZtxzOt9vBGalDGkCEL7D
Databáze: OpenAIRE