Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
Abstract
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.
Cite
@article{arxiv.2411.06211,
title = {Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy},
author = {Seth Bullock and Nirav Ajmeri and Mike Batty and Michaela Black and John Cartlidge and Robert Challen and Cangxiong Chen and Jing Chen and Joan Condell and Leon Danon and Adam Dennett and Alison Heppenstall and Paul Marshall and Phil Morgan and Aisling O'Kane and Laura G. E. Smith and Theresa Smith and Hywel T. P. Williams},
journal= {arXiv preprint arXiv:2411.06211},
year = {2024}
}
Comments
25 pages, 3 figures, Accepted for publication at Knowledge Engineering Review (KER)