Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866917855350489088 |
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| author | Bullock, Seth Ajmeri, Nirav Batty, Mike Black, Michaela Cartlidge, John Challen, Robert Chen, Cangxiong Chen, Jing Condell, Joan Danon, Leon Dennett, Adam Heppenstall, Alison Marshall, Paul Morgan, Phil O'Kane, Aisling Smith, Laura G. E. Smith, Theresa Williams, Hywel T. P. |
| author_facet | Bullock, Seth Ajmeri, Nirav Batty, Mike Black, Michaela Cartlidge, John Challen, Robert Chen, Cangxiong Chen, Jing Condell, Joan Danon, Leon Dennett, Adam Heppenstall, Alison Marshall, Paul Morgan, Phil O'Kane, Aisling Smith, Laura G. E. Smith, Theresa Williams, Hywel T. P. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_06211 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy Bullock, Seth Ajmeri, Nirav Batty, Mike Black, Michaela Cartlidge, John Challen, Robert Chen, Cangxiong Chen, Jing Condell, Joan Danon, Leon Dennett, Adam Heppenstall, Alison Marshall, Paul Morgan, Phil O'Kane, Aisling Smith, Laura G. E. Smith, Theresa Williams, Hywel T. P. Artificial Intelligence Computers and Society 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. |
| title | Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy |
| topic | Artificial Intelligence Computers and Society |
| url | https://arxiv.org/abs/2411.06211 |