Cita Yustisia Serfiyani, Budi Hermono, Astrid Amidiaputri Hasyyati
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. Copyright © 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
Faculty of Law, State University of Surabaya, Indonesia
