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/10.1017/s0269888924000110 · OA: W4404933079

Advances in artificial intelligence (AI) have great potential to help address societal challenges that are both collective in nature and present at national or transnational 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.