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

Bullock, Seth, Ajmeri, Nirav, Batty, Mike, Black, Michaela, Cartlidge, John, Challen, Robert, Chen, Cangxiong, Chen, Jing ORCID: https://orcid.org/0000-0001-7135-2116, Condell, Joan, Danon, Leon, Dennett, Adam, Heppenstall, Alison, Marshall, Paul, Morgan, Phil ORCID: https://orcid.org/0000-0002-5672-0758, O'Kane, Aisling, Smith, Laura G. E., Smith, Theresa and Williams, Hywel T. P. 2024. Artificial intelligence for collective intelligence: A national-scale research strategy. Knowledge Engineering Review 39 , e10. 10.1017/S0269888924000110

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Mathematics
Publisher:	Cambridge University Press
ISSN:	0269-8889
Date of First Compliant Deposit:	18 November 2024
Date of Acceptance:	29 October 2024
Last Modified:	18 Dec 2024 10:07
URI:	https://orca.cardiff.ac.uk/id/eprint/173602

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