Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy

TL;DR

This paper proposes a national-scale research strategy to harness AI for addressing large-scale societal challenges through collective intelligence, emphasizing interdisciplinary efforts and key technical and socio-technical issues.

Contribution

It introduces a comprehensive research strategy for developing AI-enabled collective intelligence at a national scale, outlining key challenges and interdisciplinary approaches.

Findings

Identifies technical and socio-technical challenges in AI for collective intelligence.

Proposes a strategic framework for interdisciplinary research efforts.

Highlights societal challenges that can benefit from AI-driven collective intelligence.

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 trans-national 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.