Representatives from the Indian music industry have officially petitioned the government to implement mandatory transparency regulations for artificial intelligence developers, citing an urgent need to protect copyright holders from unauthorized data scraping. The coalition, which includes leading labels and independent artists, submitted these demands this week in New Delhi, arguing that AI companies are training large language models on copyrighted musical compositions without providing compensation or seeking prior consent.
The Landscape of Generative AI in India
The global surge in generative AI tools has empowered users to create music, vocals, and arrangements with minimal effort. However, this technological leap has created a legal vacuum in India, where current copyright laws were drafted long before the advent of deep learning algorithms.
Music labels report a sharp increase in AI-generated tracks that mimic the distinct styles and vocal signatures of popular Indian playback singers. Industry stakeholders argue that without clear disclosure requirements, it is impossible for artists to track if their intellectual property is being exploited by these platforms.
The Call for Algorithmic Transparency
The core of the industry’s demand is a “transparency mandate” that would require AI developers to maintain and disclose a comprehensive registry of all data used during the training phase. This mirrors ongoing legislative debates in the European Union and the United States, where the music sector is pushing for similar protections under the AI Act and various copyright infringement lawsuits.
According to a report by the Indian Music Industry (IMI), the sector contributes billions to the national economy and supports millions of livelihoods. The IMI argues that if unchecked, AI platforms could flood the digital streaming market with low-cost content, effectively cannibalizing the revenue streams of legitimate creators.
Expert Perspectives and Economic Concerns
Legal experts suggest that the current legal framework faces a significant challenge in balancing innovation with property rights.
