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Music industry groups join legal battle over AI training rights

Major music organizations are filing legal briefs to argue that AI training on copyrighted works does not qualify as fair use.

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The short version

Why it matters

The legal outcome of these cases will determine if AI companies can continue to train models on copyrighted data without paying creators. This could fundamentally change how music, books, and news are monetized and protected in the age of generative AI.

The music industry joins the fray

Major music industry bodies are officially entering the legal arena to challenge how artificial intelligence models are trained. Organizations such as the RIAA, NMPA, Ascap, and BMI have filed an amicus brief in ongoing lawsuits against OpenAI and Microsoft. These groups are seeking to establish that using copyrighted material to train AI does not fall under the legal doctrine of fair use.

The brief highlights a specific distinction between human inspiration and machine learning. It argues that while humans are inspired by a modest universe of works, AI systems encode copies of millions of works into their systems. The music industry is pushing back against the idea that AI processes are functionally similar to human learning.

This move signals a coordinated effort by the music establishment to protect their intellectual property. By joining lawsuits that currently focus on authors and news organizations, these groups hope to influence the broader legal landscape. They want to ensure that the rules established for text and news also apply to the music and recording industries.

A new target for Google

While the OpenAI lawsuits are gaining attention, a new legal challenge is targeting Google's AI music capabilities. A shareholder of Alphabet has filed a lawsuit against 13 of the company's directors and executives. The complaint accuses the company of copying millions of copyrighted sound recordings, lyrics, and musical compositions to develop models like Lyria, Mulan, and MusicLM.

This lawsuit specifically focuses on the ingestion of copyrighted material into Google's generative tools. It suggests that the company's actions may infringe on the rights of creators who have not consented to their work being used for training. The legal proceedings aim to hold the company's leadership accountable for these practices.

The filing represents a significant escalation in the scrutiny of how tech giants handle creative data. It underscores the growing tension between the technical requirements of training large-scale models and the legal rights of content owners. The outcome could determine how Google and other tech firms approach music licensing in the future.

The arguments for fair use

On the other side of the debate, tech lobbying groups are advocating for the legality of AI training. Groups like Chamber of Progress and AI Progress have submitted their own briefs to the courts. These organizations include partners such as Amazon, Apple, Google, and Meta, who argue that AI models are inherently transformative in nature.

The pro-AI side contends that these technologies support new human expressions of creativity rather than replacing them. They argue that the models do not compete harmfully with the original works they were trained on. These groups emphasize that the technology provides a tool for innovation that benefits society at large.

One specific argument from the AI Progress group suggests that AI can be used for significant societal benefits, such as cancer research or cybersecurity. They argue that these applications are unrelated to the specific music or literature being used for training. This creates a complex legal environment where the utility of the final product is weighed against the methods used to create it.

Economic and legal stakes

The stakes of these lawsuits extend beyond the music industry to the broader economy. Some advocates argue that if AI training is not ruled as fair use, it could hamper essential fields like emergency response and cybersecurity. They suggest that restrictive laws could stifle the development of tools that provide critical public services.

Conversely, the music and arts sectors argue that failing to protect copyright will destroy the economic viability of creative professions. They believe that if AI can ingest and replicate works for free, the incentive for humans to create original content will diminish. This creates a fundamental disagreement over what constitutes a 'fair' use of data in a digital economy.

The current lawsuits against OpenAI and Microsoft are being watched closely because they could set a massive legal precedent. Even though these specific cases involve news and books, the rulings may dictate how the music industry handles its own battles. The final verdicts will likely determine the future of copyright, training outputs, and licensing for all generative AI systems.

What to watch

Try it

Look up the 'amicus brief' filed by the RIAA or BMI to see the specific legal arguments they are using against AI training.

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First reported by Music Ally · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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