UK Government to License National Archives and Met Office Data for AI Development
UK to Use National Archives and Met Office Data for AI Tools

UK Government Unveils Plans to Harness National Data for AI Development

The UK government is advancing ambitious plans to license content from nationally owned institutions, including the Met Office and the National Archives, for use in artificial intelligence systems. This initiative aims to leverage public sector data to enhance AI tools, potentially transforming how businesses and local authorities access critical information.

Testing Practical Applications of Public Data

Under the scheme, researchers will explore how Met Office data could be utilised by AI technology to assist agencies and councils in practical decision-making. For instance, it could help predict when to purchase additional road grit during winter months, improving efficiency and safety. Another project will investigate whether legal data from the National Archives—the UK's official repository for documents—could provide reliable legal support to small and medium-sized enterprises (SMEs).

Ian Murray, the minister for digital government and data, emphasised the benefits of this approach. He stated, "This is what smart use of the public sector looks like. Whether you're a cafe owner trying to understand employment law or a shopkeeper navigating health and safety requirements, time spent wrestling with legal jargon is time spent away from customers." By making authoritative legal data AI-ready, the government hopes to offer quick, reliable answers to common business queries, freeing up time for growth and investment.

Expanding Data Licensing to Cultural Institutions

In addition to the Met Office and National Archives, the government has announced plans to license content from other national institutions for AI development. These include the Natural History Museum and the National Library of Scotland. This move is part of a broader strategy to create a national data library, as proposed in the government's AI action plan launched last year.

The action plan also envisions a cultural data library that would serve as a commercial proposition, potentially generating revenue from copyright-cleared data. Institutions such as the BBC, the British Library, and the Victoria and Albert Museum could contribute to this exchange. A pilot scheme will explore how digitised content from these organisations can be used by consumers, technology companies, and AI developers while respecting creators' rights.

Addressing Copyright Concerns and Ethical Considerations

Data is a crucial component of AI models, like those underlying ChatGPT, and has sparked debate between the UK's creative industries and the government over copyright law. Ministers have faced criticism for proposals that would allow AI companies to use copyright-protected work without prior permission, unless artists opt out. Technology Secretary Liz Kendall recently indicated a "reset" on these plans, with an official review due in March.

Despite these controversies, the government is committed to using nationally owned data to drive AI deployment. It has stressed that privacy, ethics, and data protection will be carefully considered when assembling datasets. For example, while the NHS's vast health data trove has been mentioned as a candidate for the national data library, its inclusion will depend on rigorous safeguards.

Launching a Creative Content Exchange

The government will proceed with these plans through a "creative content exchange," launched in June as a marketplace for selling, buying, and licensing digitised cultural assets. A pilot platform is set to launch in the summer, involving institutions like Imperial War Museums, the University of Oxford, and the Royal Botanic Gardens, Kew. This initiative aims to facilitate large-scale licensing while ensuring the rights of copyright owners are upheld.

Overall, this scheme represents a significant step in the UK's AI strategy, blending innovation with public service to harness the potential of state-controlled data for economic and social benefit.