UK Plans Intellectual Property Overhaul to Address AI Copyright Challenges

TLDRs:

• UK reviews AI copyright rules to ensure artists are fairly compensated.
• Transparency in AI training data becomes central concern for regulators.
• Government seeks balance between AI innovation and creative sector rights.
• New IP framework expected by March 2026 to guide AI development.

The United Kingdom is moving to overhaul its intellectual property framework in response to growing concerns over the use of copyrighted works in artificial intelligence (AI) training.

UK Technology Secretary Liz Kendall has publicly supported calls from artists and musicians demanding fair payment when their creations are employed to develop AI models.

High-profile figures, including Paul McCartney and Elton John, have protested the use of their work without permission, underscoring tensions between the creative industry and AI developers. Kendall, who assumed office in September, has signaled a significant policy shift from her predecessor by actively engaging with both creative professionals and AI companies.

Transparency Becomes a Central Issue

A recurring theme in the debate is transparency. Creators want clear information about how their works are used, and regulators are considering measures to ensure that AI firms disclose the sources of their training data.

The UK government’s preliminary report on AI and copyright is expected by the end of 2025, with a comprehensive assessment scheduled for March 2026.

The government is also exploring mechanisms that would allow artists to set machine-readable rights reservations. These would enable creators to indicate whether their works may be used to train AI systems and under what conditions. The system could include an opt-out for materials not explicitly reserved, though implementation will require significant technical infrastructure and industry collaboration.

Legal Uncertainty and Risk for AI Firms

Current UK law prohibits the unauthorized copying of copyrighted material to train commercial AI models. This creates potential short-term legal risks for AI developers, as obtaining permission from every rights holder can be complicated by fragmented ownership and identification hurdles.

Comparatively, the European Union has implemented an opt-out model, while the United States relies on an uncertain fair use framework.

In the UK, the unsettled legal environment means companies must plan carefully, securing licenses where possible and preparing risk mitigation strategies until the new framework is fully in place.

Public Sector Drives Demand for Transparency

Public sector adoption of AI is also driving demand for provenance tools and licensing solutions. The Crown Commercial Service (CCS) recently extended its AI Dynamic Purchasing System (DPS) through February 2029, covering services from licensing to technical support.

Procurement guidance issued earlier this year, including PPN 017, now requires suppliers to disclose AI usage in their offerings, ensuring that public contracts are awarded responsibly.

Campaigners have called for pauses on contracts with AI vendors facing copyright disputes, emphasizing the need for training data disclosure. Meanwhile, companies developing provenance tools, rights management systems, and licensing infrastructure see opportunities to support both public and private sector clients navigating the evolving landscape.

Looking Ahead

As the UK moves to modernize its intellectual property laws for the AI era, the creative sector and technology developers will need to adapt quickly.

The forthcoming reports and legislative adjustments are expected to clarify rights, establish transparency standards, and balance innovation with fair compensation for creators.

For AI companies, the next year will be critical in preparing licensing strategies and compliance systems. For artists and musicians, it represents an opportunity to ensure their work is respected and properly rewarded in the AI-driven digital economy.

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