Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy Article Swipe

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Seth Bullock , Nirav Ajmeri , Mike Batty , Michaela Black , John Cartlidge , Robert Challen , Cangxiong Chen , Chen Jing , Joan Condell , León Danon , Adam Dennett , Alison Heppenstall , Paul Marshall , Phil Morgan , Aisling Ann O’Kane , Laura G. E. Smith , Theresa J. Smith , Hywel T. P. Williams ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2411.06211 · OA: W4404391026

Advances in artificial intelligence (AI) have great potential to help address societal challenges that are both collective in nature and present at national or trans-national scale. Pressing challenges in healthcare, finance, infrastructure and sustainability, for instance, might all be productively addressed by leveraging and amplifying AI for national-scale collective intelligence. The development and deployment of this kind of AI faces distinctive challenges, both technical and socio-technical. Here, a research strategy for mobilising inter-disciplinary research to address these challenges is detailed and some of the key issues that must be faced are outlined.