Downloads provided by UsageCounts
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
related rights, EU copyright law, computer-generated works, online music, copyright, intellectual property, artificial intelligence, originality
related rights, EU copyright law, computer-generated works, online music, copyright, intellectual property, artificial intelligence, originality
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 137 | |
| downloads | 85 |

Views provided by UsageCounts
Downloads provided by UsageCounts