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    Home»Startups»Hollywood’s latest AI copyright war: But is there a better way?
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    Hollywood’s latest AI copyright war: But is there a better way?

    Editor Times FeaturedBy Editor Times FeaturedOctober 3, 2025No Comments5 Mins Read
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    Final week Disney, Common Footage and Warner Bros Discovery jointly sued MiniMax, a Chinese language synthetic intelligence (AI) firm, over alleged copyright infringement.

    The three Hollywood media giants allege MiniMax (which operates Hailuo AI and is reportedly valued at US$4 billion) engaged in mass copyright infringement of characters such as Darth Vader and Mickey Mouse by scraping huge quantities of copyrighted information to coach their fashions with out permission or cost.

    This lawsuit is the most recent in a growing list of copyright infringement instances involving AI. These instances embrace authors, publishers, newspapers, music labels and independent musicians all over the world.

    Disney, Common Footage and Warner Bros Discovery have the assets to litigate arduous and presumably form future precedent. They’re looking for damages and an injunction towards the continued use of their materials.

    Circumstances like this one recommend the widespread method of “scraping first” and coping with penalties later could also be unsustainable. Different strategies for ethically, morally and legally acquiring information are urgently wanted.

    One methodology some persons are beginning to discover is licensed use. So what precisely does that imply – and is it actually an answer to the rising copyright issues AI presents?

    What’s licensing?

    Licensing is a authorized mechanism which permits using artistic works under agreed terms, often for a fee. It normally entails two key gamers: the copyright proprietor (for instance, a film studio) and the consumer of the artistic work (for instance, an AI firm).

    Typically, a non-exclusive licence is the place, in return for a charge, the copyright proprietor provides the consumer permission to train sure rights however retains possession of the work.

    Within the context of generative AI use, granting a non-exclusive license may lead to AI firms gaining permission to be used and paying a charge. They might use the copyright proprietor’s materials for coaching functions, slightly than merely scraping with out consent.

    There are several licensing models, that are already being utilized in some AI contexts. These embrace voluntary, collective and statutory licensing fashions.

    What are these fashions?

    Voluntary licensing occurs when a copyright proprietor immediately permits an AI firm to make use of their work, normally for a cost. It could actually work for giant, high-value offers. For instance, the Related Press licensed their archive to OpenAI, the owner of ChatGPT.

    Nonetheless, when there are millions of copyright homeowners concerned who every personal a smaller variety of works, this methodology is gradual, cumbersome and costly.

    One other downside is that after a generative AI firm has made one copy of a piece beneath license, it’s unsure whether or not this copy could also be used for different duties. Additionally, making use of voluntary licensing to AI coaching is tough to scale, as a result of coaching requires huge datasets.

    This makes particular person agreements with every copyright proprietor impractical. It may be advanced when it comes to figuring out who owns the rights, what must be cleared and the way a lot to pay. The licensing charge may additionally be prohibitive to smaller AI companies, and particular person copyright homeowners might not obtain a lot income for the use.

    Collective licensing permits copyright homeowners to have their rights managed by an organisation generally known as a gathering society. The society negotiates with the consumer and distributes licensing charges to the copyright homeowners.

    This mannequin is already generally used within the publishing and music industries. In idea, whether it is expanded to the AI business, it may present AI firms with entry to giant catalogues of information extra effectively.

    There are already some examples. In April 2025, a collective license for generative AI use was announced in the United Kingdom. Earlier this month, one other was announced in Sweden.

    Nonetheless, this mannequin raises questions on charge buildings, and the precise use itself. How would charges be calculated? How a lot could be paid? What constitutes “use” in AI coaching? It’s unsure whether or not copyright homeowners with smaller catalogues would profit as a lot as huge gamers.

    A statutory (or compulsory) licensing scheme is another choice. It already exists in different contexts in Australia resembling training and authorities use. Below such a mannequin, the federal government may allow AI companies to make use of works for coaching with out requiring permission from every copyright proprietor.

    A charge could be paid right into a central scheme at a predetermined charge. This method would guarantee AI firms entry coaching information whereas guaranteeing some remuneration to copyright homeowners. Nonetheless, it removes copyright homeowners’ means to say no to the use.

    A danger of domination

    In follow, these licensing fashions sit on a spectrum with variations. Collectively, they symbolize some future methods the rights of creators could also be reconciled with AI firms’ starvation for information.

    Completely different types of licensing provide potential alternatives for copyright homeowners and AI firms. It’s certainly not a silver bullet.

    Voluntary agreements will be gradual, fragmented and never lead to a lot income for copyright homeowners. Collective schemes elevate questions on equity and transparency. Statutory fashions danger under-valuing artistic work and rendering copyright homeowners powerless over using their work.

    These challenges spotlight a a lot larger concern which is raised when copyright is taken into account in new technological contexts. That’s, how you can strike a stability between these concerned, whereas nonetheless promoting fairness and innovation.

    If a cautious stability just isn’t struck, there’s a danger of domination from a handful of highly effective AI firms and media giants.

    • Wellett Potter, Lecturer in Regulation, University of New England

    This text is republished from The Conversation beneath a Inventive Commons license. Learn the original article.



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