BIG::AI 

The potential and challenges of AI for collective intelligence

2025. Collective Intelligence.

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

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.

Full paper

https://doi.org/10.1177/26339137241308821

Citation

Riedl, C., Cremer, D. D., Lucarelli, G., Antoine-Souklaye, E., Bullock, S., Ajmeri, N., … Denis, G. (2025). The potential and challenges of ai for collective intelligence. Collective Intelligence, 4(1), 26339137241308821. URL: https://doi.org/10.1177/26339137241308821, arXiv:https://doi.org/10.1177/26339137241308821, doi:10.1177/26339137241308821

BibTeX

@article{doi:10.1177/26339137241308821, author = {Christoph Riedl and David De Cremer and Gina Lucarelli and Erika Antoine-Souklaye and 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 GE Smith and Theresa Smith and Hywel Williams and Niccolo Pescetelli and Georgina Denis}, title ={The potential and challenges of AI for collective intelligence}, journal = {Collective Intelligence}, volume = {4}, number = {1}, pages = {26339137241308821}, year = {2025}, doi = {10.1177/26339137241308821}, URL = { https://doi.org/10.1177/26339137241308821 }, eprint = { https://doi.org/10.1177/26339137241308821 } , }