Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence
Journal
Hawaii International Conference on System Sciences (HICSS)
Type
conference paper
Date Issued
2021-01
Author(s)
Research Team
IWI6
Abstract
The ever-increasing complexity of the music industry and the intensified resentment of artists towards collecting societies call for a transformation and a change of behavior within the music ecosystem. This article introduces a hybrid intelligence system, that ameliorates the current situation by combining the intelligence of humans and machines. This study proposes design requirements for hybrid intelligence systems in the music industry. Using a design science research approach, we identify design requirements both inductively from expert interviews and deductively from theory and present a first prototypical instantiation of a respective hybrid intelligence system. Overall, this shall enrich the body of knowledge of hybrid intelligence research by transferring its concepts into a new context. Furthermore, the identified design requirements shall serve as a foundation for researchers and practitioners to further explore and design hybrid intelligence in the music industry and beyond.
Language
English
Keywords
hybrind intelligence
music industry
blackbox
artificial intelligence
HSG Classification
contribution to scientific community
Publisher place
Kauai, USA
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Kauai, USA
Event Date
5-8 Jan 2021
Subject(s)
Division(s)
Eprints ID
263195
File(s)![Thumbnail Image]()
Name
JML_827.pdf
Size
579.18 KB
Format
Adobe PDF
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