AICYNov 9, 2024

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

arXiv:2411.06211v15 citationsh-index: 20Knowledge engineering review (Print)
Originality Synthesis-oriented
AI Analysis

It outlines an incremental approach for researchers and policymakers to enhance AI applications in collective problem-solving.

The paper proposes a research strategy to address technical and socio-technical challenges in developing AI for national-scale collective intelligence to tackle societal issues like healthcare and sustainability, but does not report specific results or numbers.

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.

Foundations

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