Summary of Artificial Intelligence For Collective Intelligence: a National-scale Research Strategy, by Seth Bullock (1) et al.
Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
by 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 G. E. Smith, Theresa Smith, Hywel T. P. Williams
First submitted to arxiv on: 9 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the potential of artificial intelligence (AI) in addressing societal challenges at national or trans-national scales. The researchers focus on pressing issues like healthcare, finance, infrastructure, and sustainability, highlighting how AI can facilitate collective intelligence to tackle these problems. To achieve this, the authors outline a research strategy for mobilizing interdisciplinary teams and discuss the key technical and socio-technical challenges that must be overcome. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about using artificial intelligence (AI) to help solve big problems that affect many people, like healthcare or the environment. The researchers think AI can bring people together to make important decisions and take action. To do this, they want to work with experts from different fields and tackle some tough challenges. |
