Artificial intelligence for collective intelligence: a national-scale research strategy

Seth Bullock; Niraj Ajmeri; Mike Batty; Michaela Black; John Cartlidge; Robert Challen; Cangxiong Chen; Jing Chen; Joan Condell; Leon Danon; Adam Dennet; Alison Heppenstal; Paul Marshall; Phil Morgan; Aisling O'Kane; Laura G. E. Smith; Theresa Smith; Hywel Williams

doi:10.1017/S0269888924000110

Artificial intelligence for collective intelligence: a national-scale research strategy

Seth Bullock, Niraj Ajmeri, Mike Batty, Michaela Black, John Cartlidge, Robert Challen, Cangxiong Chen, Jing Chen, Joan Condell, Leon Danon, Adam Dennet, Alison Heppenstal, Paul Marshall, Phil Morgan, Aisling O'Kane, Laura G. E. Smith, Theresa Smith, Hywel Williams

Research output: Contribution to journal › Article › peer-review

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 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.

Original language	English
Article number	e10
Pages (from-to)	1-19
Number of pages	19
Journal	The Knowledge Engineering Review
Volume	39
Early online date	2 Dec 2024
DOIs	https://doi.org/10.1017/S0269888924000110
Publication status	Published - 2 Dec 2024

Funding

This work was supported by UKRI EPSRC Grant No. EP/Y028392/1: AI for Collective Intelligence (AI4CI).

Funders	Funder number
Engineering and Physical Sciences Research Council

Access to Document

10.1017/S0269888924000110Licence: CC BY

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Bullock, S., Ajmeri, N., Batty, M., Black, M., Cartlidge, J., Challen, R., Chen, C., Chen, J., Condell, J., Danon, L., Dennet, A., Heppenstal, A., Marshall, P., Morgan, P., O'Kane, A., Smith, L. G. E., Smith, T., & Williams, H. (2024). Artificial intelligence for collective intelligence: a national-scale research strategy. The Knowledge Engineering Review, 39, 1-19. Article e10. https://doi.org/10.1017/S0269888924000110

Bullock, S, Ajmeri, N, Batty, M, Black, M, Cartlidge, J, Challen, R, Chen, C, Chen, J, Condell, J, Danon, L, Dennet, A, Heppenstal, A, Marshall, P, Morgan, P, O'Kane, A, Smith, LGE , Smith, T & Williams, H 2024, 'Artificial intelligence for collective intelligence: a national-scale research strategy', The Knowledge Engineering Review, vol. 39, e10, pp. 1-19. https://doi.org/10.1017/S0269888924000110

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Artificial intelligence for collective intelligence: a national-scale research strategy

Abstract

Funding

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AI for Collective Intelligence (AI4CI) – A UKRI AI Research Hub for Real Data

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Artificial intelligence for collective intelligence: a national-scale research strategy

Abstract

Funding

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Projects

AI for Collective Intelligence (AI4CI) – A UKRI AI Research Hub for Real Data

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