The UK’s Geospatial Commission has collaborated with the Alan Turing Institute to improve spatial data capabilities for land use decision-making through AI. As part of this project, a ‘DemoLand’ tool has been developed with Newcastle City Council to model land use scenarios and visualise trade-offs between different policy decisions. The next phase involves integrating satellite imagery to monitor land changes and improve the models used in the tool. Large language models will be incorporated to make the tool’s outputs more understandable for non-technical users. This project aims to integrate data and AI into national land use decision-making processes across the UK, ultimately promoting sustainable practices and minimising risks associated with land use changes. The program uses predictive analytics to identify potential risks and plan preventive measures, while its user-friendly outputs reduce the risk of misinterpretation or misalignment with policy goals.

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