The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Based Royalty Distribution Concept for Commercial Public Streaming of Songs and Music in Indonesia
|
|
Author(s): Cita Yustisia Serfiyani (Faculty of Law, State University of Surabaya, Indonesia), Budi Hermono (Faculty of Law, State University of Surabaya, Indonesia)and Astrid Amidiaputri Hasyyati (Faculty of Law, State University of Surabaya, Indonesia)
Copyright: 2026
Pages: 26
Source title:
Artificial Intelligence in Music Production: Innovations, Practices, and Industry Implications
Source Author(s)/Editor(s): Randy Joy Magno Ventayen (Pangasinan State University, Phillippines)
DOI: 10.4018/979-8-3373-6279-3.ch011
Purchase
|
Abstract
The collection and distribution of royalties for the use of songs and music in commercial public spaces in Indonesia remain contentious due to limited transparency, overlapping management authorities, and inadequate technology for tracking music. The problem arises after Government Regulation Number 56 of 2021 implementing mandate on royalty collection for music or song streaming, but it lacks on governance readiness and calculation accuracy that still needs to be improved. Internationally, artificial intelligence (AI) technologies have shown considerable promise in enhancing music detection accuracy and expediting the proportional distribution of royalties. This article presents a comparative analysis of AI applications in royalty tracking systems across USA, UK and Australia. Main priorities include harmonizing the roles of LMK and LMKN, strengthening national data integration, increasing transparency in tariff and distribution mechanisms, and establishing AI ethics guidelines to safeguard creators' rights and ensure algorithmic accountability.
Related Content
|
Randy Joy Magno Ventayen, Elmar B. Noche, Maricel Aqui.
© 2026.
34 pages.
|
|
Evren Idil Yazan.
© 2026.
30 pages.
|
|
Sonia Ahuja.
© 2026.
24 pages.
|
|
Saroj Sandeep Phalke, Gitanjali Shinde, Grishma Bobhate, Poonam Railkar, Haribhau R. Bhapkar, Sonal Fatangare.
© 2026.
28 pages.
|
|
Syrenzo Ramos Sicuan.
© 2026.
26 pages.
|
|
K. S. Jishnu, P. S. Shijukumar, G. Bhargavi, Vimal Sankar, P. S. Sujith Kumar, Nisha Thorakattu Madathil.
© 2026.
30 pages.
|
|
Vibha Tiwari, Rahul Lalwani, Akshada Telang.
© 2026.
36 pages.
|
|
|