Paper ID: 2411.06211

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

Seth Bullock (1), Nirav Ajmeri (1), Mike Batty (2), Michaela Black (3), John Cartlidge (1), Robert Challen (1), Cangxiong Chen (4), Jing Chen (5), Joan Condell (3), Leon Danon (1), Adam Dennett (2), Alison Heppenstall (6), Paul Marshall (1), Phil Morgan (5), Aisling O'Kane (1), Laura G. E. Smith (4), Theresa Smith (4), Hywel T. P. Williams (7) ((1) University of Bristol, (2) University College London, (3) Ulster University, (4) University of Bath, (5) Cardiff University, (6) University of Glasgow, (7) University of Exeter)

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.

Submitted: Nov 9, 2024