AI for collective intelligence

AI has emerged as a transformative force in society, reshaping economies, work, and everyday life. We argue that AI can not only improve short-term productivity but can also enhance a group’s collective intelligence. Specifically, AI can be employed to enhance three elements of collective intelligence: collective memory, collective attention, and collective reasoning. This editorial reviews key emerging work in the area to suggest ways in which AI can support the socio-cognitive architecture of collective intelligence. We will then briefly introduce the articles in the “AI for Collective Intelligence” special issue.

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Publication Details

Journal
Collective Intelligence
Published
2025-04-01
DOI
https://doi.org/10.1177/26339137251328909
Citations
4
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
9.92
Controls
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article

AI for collective intelligence

David De Cremer, Christoph Riedl
4 citations
Collective Intelligence
Cognitive Science and Mapping
9.92
article

AI for collective intelligence

David De Cremer, Christoph Riedl
article en
4 citations

Abstract

AI has emerged as a transformative force in society, reshaping economies, work, and everyday life. We argue that AI can not only improve short-term productivity but can also enhance a group’s collective intelligence. Specifically, AI can be employed to enhance three elements of collective intelligence: collective memory, collective attention, and collective reasoning. This editorial reviews key emerging work in the area to suggest ways in which AI can support the socio-cognitive architecture of collective intelligence. We will then briefly introduce the articles in the “AI for Collective Intelligence” special issue.

Collective IntelligenceVol. 4(2)
Northeastern University (US), Universidad del Noreste (MX)
Openalex Percentile: Top 2%
Cognitive Science and Mapping
9.92
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