Artificial intelligence and music : open questions of copyright law and engineering praxis

Sturm, Bob L. T., Iglesias, Maria, Ben-Tal, Oded, Miron, Marius and Gomez, Emilia (2019) Artificial intelligence and music : open questions of copyright law and engineering praxis. Arts, 8(3), p. 115. ISSN (online) 2076-0752

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Abstract

The application of artificial intelligence (AI) to music stretches back many decades, and presents numerous unique opportunities for a variety of uses, such as the recommendation of recorded music from massive commercial archives, or the (semi-)automated creation of music. Due to unparalleled access to music data and effective learning algorithms running on high-powered computational hardware, AI is now producing surprising outcomes in a domain fully entrenched in human creativity—not to mention a revenue source around the globe. These developments call for a close inspection of what is occurring, and consideration of how it is changing and can change our relationship with music for better and for worse. This article looks at AI applied to music from two perspectives: copyright law and engineering praxis. It grounds its discussion in the development and use of a specific application of AI in music creation, which raises further and unanticipated questions. Most of the questions collected in this article are open as their answers are not yet clear at this time, but they are nonetheless important to consider as AI technologies develop and are applied more widely to music, not to mention other domains centred on human creativity.

Item Type: Article
Research Area: Law
Music
Faculty, School or Research Centre: Faculty of Arts and Social Sciences > School of Arts, Culture and Communication
Kingston School of Art
Faculty of Arts and Social Sciences
Depositing User: Oded Ben-Tal
Date Deposited: 01 Nov 2019 10:33
Last Modified: 01 Nov 2019 10:33
DOI: https://doi.org/10.3390/arts8030115
URI: http://eprints.kingston.ac.uk/id/eprint/44298

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