Artificial Intelligence and Music Copyright Law
Article title:
By
Sturm, B.LT., Iglesias, M., Ben-Tal, O., Miron, M., and Emilia Gómez.
6th September 2019.
Abstract:
The 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.
Artificial intelligence (AI) is a well-established discipline of computer science focused on making computers perform tasks that would normally require human intelligence (Russell and Norvig 1995).
Due to the convergence of massive data availability, computational resources and novel deep-learning-based architectures, the machine learning (ML) sub-field of AI has experienced major breakthroughs over the past decade (Goodfellow et al. 2018). Such great progress has been made that AI technology is now a major driver of global business and investment. AI is being deployed in varied practical scenarios, from machine translation to medical diagnosis, detecting fraudulent credit card use, transcribing speech, summarizing sporting events and financial reports, targeted advertising on social media, and autonomous vehicles.
The combination of AI and robotics is also widely transforming manufacturing (Economics 2019).
Real world applicationof AI have generated controversy as well, such as tracking people using biometric indicators (e.g., face, speech, gait), prediction of criminal
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