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Hollywood and music groups urge court to recognize existing licensing for AI

A coalition of artists and studios filed a brief in the New York Times lawsuit, arguing that the infrastructure to license data for AI training already exists.

31-pagelength of the filed amicus brief

The short version

Why it matters

This legal move seeks to establish that AI companies cannot use 'technical impossibility' as an excuse to bypass licensing. It aims to force a market where creators have a meaningful choice to opt-in or out of training sets.

The legal challenge to AI scraping

A major legal battle is unfolding in the Southern District of New York as the New York Times sues OpenAI and Microsoft. The lawsuit centers on how these tech giants use copyrighted content to train their large language models and image generators.

In response to these proceedings, a Hollywood-backed nonprofit joined by the Music Artists Coalition filed an amicus brief. An amicus brief is a legal document filed by a non-party to provide information or arguments to help the court make a decision.

The core of the argument is that the tech companies are misrepresenting the difficulty of obtaining permissions. The coalition wants the court to recognize that the creative industries are already equipped to handle large-scale licensing requests.

Challenging the 'impossible' defense

OpenAI and Microsoft have argued that licensing creative works for AI training is cost-prohibitive and lacks a settled method for valuation. The new brief directly disputes these claims by highlighting existing industry standards. It asserts that the creative world already possesses the necessary infrastructure to clear rights for dispersed works effectively.

The brief argues that the workflows required to manage these permissions are already in place and proven. By pointing to these existing systems, the coalition suggests that the tech companies are choosing not to engage with established markets rather than being unable to do so. This move seeks to remove the 'technical barrier' excuse from the legal debate.

The goal is to ensure that the market for AI data licensing grows in a way that protects the humans who create the original value. The coalition emphasizes that the industry is not starting from scratch but is instead looking to adapt existing rules to a new digital era. They want to ensure that creators have a meaningful choice regarding their work.

Protecting likeness and consent

A significant portion of the filing comes from The Human Consent Foundation (HCF), a nonprofit led by actress Cate Blanchett. The foundation focuses on protecting an individual's name, image, and likeness (NIL) from unauthorized scraping by AI models. This is particularly relevant for actors and musicians whose voices and faces are central to their careers.

Blanchett stated in the brief that the principle of asking for permission before using someone's image is a long-standing industry standard. She argues that consent is the foundation of creativity rather than a barrier to it. The HCF has already launched a registry where people can log specific permissions they give to AI models to scrape their likenesses.

The brief includes an appendix featuring a wide range of high-profile supporters from the entertainment world. These names include icons like Madonna, Anne Hathaway, and Bette Midler, as well as actors like Robert De Niro and Julia Roberts. Their involvement signals a unified front from the creative community against unregulated AI training.

Industry infrastructure and workflows

The coalition includes a diverse group of organizations such as the National Association of Voice Actors and Writer Inc. These groups represent the various types of creators whose work fuels the data used by tech giants. They are advocating for a system where licensing is handled at scale and in a cost-effective manner.

The brief highlights that the creative industries have already developed the tools to manage rights for massive amounts of content. By using these existing workflows, tech companies could theoretically license the data they need without infringing on the rights of the original creators. This would create a structured marketplace for AI training data.

The filing aims to show the court how the creative industry actually functions in practice. It seeks to acknowledge the solutions that have been built to manage intellectual property in the past. The coalition argues that these solutions are perfectly capable of being applied to the new requirements of AI development.

The path forward for AI licensing

While the creative coalition pushes for a licensing-based model, other groups are taking a different path. The U.S. government and several other organizations have filed briefs supporting the tech companies' position. These groups argue that AI scraping is protected by the fair use doctrine, which allows for the use of copyrighted material without permission under certain conditions.

The tension between these two legal theories will likely determine how AI companies operate in the future. If the court recognizes the existing licensing infrastructure, it could force a shift toward a paid-access model for training data. This would prioritize the rights of the original creators over the unrestricted scraping of the internet.

As the market for AI data licensing continues to develop, the outcome of this case will set a precedent for many other industries. The coalition hopes to ensure that the humans who create the value in the market are protected. They want to make sure that new technology respects the boundaries and choices of the people who provide the underlying content.

What to watch

Try it

Check the Human Consent Foundation's registry to see how individuals are currently logging permissions for their likenesses.

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First reported by Digital Music News · 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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