Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
Abstract
This paper sets out an opportunity for the UK to develop a world-leading infrastructure for data-driven public service innovation that feeds, and is fed by, science and engineering at national and civic scales, sustainably and with public trust. The disruptive model is a national grid of civic learning systems where public services continuously improve their value and productivity with artificial intelligence (AI) assistance at population, provider and person levels, as shown in Figure 1. 6 In this civic AI model, data is foundational–collected, analysed, and acted upon in learning loops to continuously improve service delivery and outcomes.
Authors: John Ainsworth, Claudio; id_orcid 0000-0002-3140-7909 Angione, Kate Ardern, Katie Atkinson, Samuel Ball, Ben Barr, Ben Bridgewater, Camila Caiado, Helen Cole, Hannah Davies, Nigel Davies, Hedley C A Emsley, Alejandro F. Frangi, Marta Garcia-Finana, Hilary Garrett, Carole Goble, Mike Harding, Iain Hennessey, Matt Hennessey, Warren Heppolette, Andrew Hill, House , Thomas, Jim Hughes, Owen Ashby Johnson, Joyce , Dan, Axel Kaehne, Louise C. KENNY, Jo Knight, Chris Kypridemos, Tom Lawton, Gary Leeming, Jims Marchang, Anthony Marson, Glen Martin, Simon Maskell, Mark A Mon-Williams, Georgina Moulton, Naylor , Annemarie, Farnaz Nickpour, PJ Noble, et al.
Published in: TeesRep (Teesside University) (2025)