UK artists urge PM to shield creative work from AI exploitation
As the battle over AI and copyright intensifies, Britain’s most celebrated artists are drawing a line to protect the future of human creativity.

More than 400 prominent British artists, including Dua Lipa, Elton John, and Sir Ian McKellen, have signed a letter urging Prime Minister Keir Starmer to update UK copyright laws to protect their work from being used without consent in training AI systems. The signatories argue that current laws leave their creative output vulnerable to exploitation by tech companies, which could ultimately undermine the UK’s status as a global cultural leader.
The artists are backing a proposed amendment to the Data (Use and Access) Bill by Baroness Beeban Kidron, requiring AI developers to disclose when and how they use copyrighted materials. They believe this transparency could pave the way for licensing agreements that respect the rights of creators while allowing responsible AI development.
Nobel laureate Kazuo Ishiguro and music legends like Paul McCartney and Kate Bush have joined the call, warning that creators risk ‘giving away’ their life’s work to powerful tech firms. While the government insists it is consulting all parties to ensure a balanced outcome that supports both the creative sector and AI innovation, not everyone supports the amendment.
Critics, like Julia Willemyns of the Centre for British Progress, argue that stricter copyright rules could stifle technological growth, offshore development, and damage the UK economy.
Why does it matter?
If the UK moves forward with the proposed amendment, it could establish a new norm requiring AI developers to be transparent about the data they use, especially when it involves copyrighted content. Such a move would push digital standards toward embedding transparency and traceability into AI training practices, challenging the current norm where data provenance is often obscured.
It also raises the need for standardised licensing mechanisms and metadata protocols that can clearly indicate whether content can be used for machine learning purposes. This could lead to the development of new technical standards to automate permissions and track content usage across digital ecosystems. By prioritising the rights of creators, the UK could influence broader ethical standards in AI development, pushing international bodies and industry players to reconsider how they balance innovation with consent and attribution.
Ultimately, what happens in the UK could shape global expectations, encouraging the integration of creator rights and transparency into the foundational standards that govern AI systems.