The potential and challenges of AI for collective intelligence

Christoph Riedl; David De Cremer; Gina Lucarelli; Erika Antoine-Souklaye; Seth Bullock; Nirav S. Ajmeri; Mike Batty; Michaela Black; John P Cartlidge; Robert J Challen; Cangxiong  Chen; Jing  Chen; Joan Condell; Leon Danon; Adam Dennett; Alison Heppenstall; Paul Marshall; Phil Morgan; Aisling Ann O'Kane; Laura GE  Smith; Theresa Smith; Hywel  Williams; Niccolo Pescetelli; Georgina  Denis

doi:10.1177/26339137241308821

The potential and challenges of AI for collective intelligence

Christoph Riedl
, David De Cremer
, Gina Lucarelli
, Erika Antoine-Souklaye
, Seth Bullock
, Nirav S. Ajmeri
, Mike Batty
, Michaela Black
, John P Cartlidge
, Robert J Challen
, Cangxiong Chen
, Jing Chen
, Joan Condell
, Leon Danon
, Adam Dennett
, Alison Heppenstall
, Paul Marshall
, Phil Morgan
, Aisling Ann O'Kane
, Laura GE Smith

Theresa Smith , Hywel Williams , Niccolo Pescetelli, Georgina Denis

Research output: Contribution to journal › Article (Academic Journal) › peer-review

Abstract

Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance collective intelligence, both as an actor that contributes to the solution directly, and as a tool and mentor that helps coordinate human collective intelligence. Collective Intelligence invited experts and practitioners to highlight key challenges and explain how they employ AI to advance novel solutions - Christoph Riedl & David De Cremer.

Original language	English
Number of pages	5
Journal	Collective Intelligence
Volume	4
Issue number	1
DOIs	https://doi.org/10.1177/26339137241308821
Publication status	Published - 17 Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1177/26339137241308821Licence: CC BY-NC

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8463 EPSRC EP/Y028392/1 AI For Collective Intelligence SEMT
Cartlidge, J. (Principal Investigator)
1/02/24 → 31/01/29
Project: Research
8459 AI For Collective Intelligence
Bullock, S. (Principal Investigator)
1/02/24 → 31/01/29
Project: Research, Parent

Cite this

Riedl, C., De Cremer, D., Lucarelli, G., Antoine-Souklaye, E., Bullock, S., Ajmeri, N. S., Batty, M., Black, M., Cartlidge, J. P., Challen, R. J., Chen , C., Chen, J., Condell, J., Danon, L., Dennett, A., Heppenstall, A., Marshall, P., Morgan, P., O'Kane, A. A., ... Denis , G. (2025). The potential and challenges of AI for collective intelligence. Collective Intelligence , 4(1). https://doi.org/10.1177/26339137241308821

@article{3dfb60302f6045deb11b5088b0e1a16f,

title = "The potential and challenges of AI for collective intelligence",

abstract = "Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance collective intelligence, both as an actor that contributes to the solution directly, and as a tool and mentor that helps coordinate human collective intelligence. Collective Intelligence invited experts and practitioners to highlight key challenges and explain how they employ AI to advance novel solutions - Christoph Riedl \& David De Cremer.",

author = "Christoph Riedl and \{De Cremer\}, David and Gina Lucarelli and Erika Antoine-Souklaye and Seth Bullock and Ajmeri, \{Nirav S.\} and Mike Batty and Michaela Black and Cartlidge, \{John P\} and Challen, \{Robert J\} 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 O'Kane, \{Aisling Ann\} and Smith, \{Laura GE\} and Theresa Smith and Hywel Williams and Niccolo Pescetelli and Georgina Denis",

year = "2025",

month = feb,

day = "17",

doi = "10.1177/26339137241308821",

language = "English",

volume = "4",

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}

Riedl, C, De Cremer, D, Lucarelli, G, Antoine-Souklaye, E, Bullock, S , Ajmeri, NS, Batty, M, Black, M, Cartlidge, JP , Challen, RJ, Chen , C, Chen, J, Condell, J, Danon, L, Dennett, A, Heppenstall, A, Marshall, P, Morgan, P, O'Kane, AA, Smith, LGE, Smith , T, Williams , H, Pescetelli, N & Denis , G 2025, 'The potential and challenges of AI for collective intelligence', Collective Intelligence , vol. 4, no. 1. https://doi.org/10.1177/26339137241308821

TY - JOUR

T1 - The potential and challenges of AI for collective intelligence

AU - Riedl, Christoph

AU - De Cremer, David

AU - Lucarelli, Gina

AU - Antoine-Souklaye, Erika

AU - Bullock, Seth

AU - Ajmeri, Nirav S.

AU - Batty, Mike

AU - Black, Michaela

AU - Cartlidge, John P

AU - Challen, Robert J

AU - Chen , Cangxiong

AU - Chen, Jing

AU - Condell, Joan

AU - Danon, Leon

AU - Dennett, Adam

AU - Heppenstall, Alison

AU - Marshall, Paul

AU - Morgan, Phil

AU - O'Kane, Aisling Ann

AU - Smith, Laura GE

AU - Smith , Theresa

AU - Williams , Hywel

AU - Pescetelli, Niccolo

AU - Denis , Georgina

PY - 2025/2/17

Y1 - 2025/2/17

N2 - Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance collective intelligence, both as an actor that contributes to the solution directly, and as a tool and mentor that helps coordinate human collective intelligence. Collective Intelligence invited experts and practitioners to highlight key challenges and explain how they employ AI to advance novel solutions - Christoph Riedl & David De Cremer.

AB - Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance collective intelligence, both as an actor that contributes to the solution directly, and as a tool and mentor that helps coordinate human collective intelligence. Collective Intelligence invited experts and practitioners to highlight key challenges and explain how they employ AI to advance novel solutions - Christoph Riedl & David De Cremer.

U2 - 10.1177/26339137241308821

DO - 10.1177/26339137241308821

M3 - Article (Academic Journal)

VL - 4

JO - Collective Intelligence

JF - Collective Intelligence

IS - 1

ER -

The potential and challenges of AI for collective intelligence

Abstract

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Projects

8463 EPSRC EP/Y028392/1 AI For Collective Intelligence SEMT

8459 AI For Collective Intelligence

Cite this