Monetization of AI-Generated Songs for Authors’ Economic and Moral Rights Protection
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Generative artificial intelligence autonomously producing music creates a profound normative void within anthropocentric copyright regimes, fatally paralyzing digital royalty distribution. This study aimed to resolve the attribution collapse of moral and economic rights in algorithmic monetization. This research employed a pure doctrinal methodology, utilizing qualitative content analysis to critically deconstruct rigid statutory frameworks. The analysis reveals that the absolute human authorship requirement structurally dismantles national collective management organizations, permitting digital platforms to unjustly monopolize algorithmically generated commercial revenue. The central thesis asserts that resolving this regulatory crisis requires legally decoupling economic commercialization from biological authorship. By adapting the work-made-for-hire doctrine, lawmakers can legally establish the human system operator as the statutory holder of economic rights while permanently denying moral rights to machines. Ultimately, this bifurcated regulatory model provides a universally resonant prescriptive blueprint to restore legal certainty and ensure equitable commercial compensation across the rapidly evolving contemporary global digital economy.
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