用AI提升国家规模集体智慧，应对医疗、金融等重大社会挑战
Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
- 跨学科协作构建国家尺度的AI集体智能研究框架
- 聚焦技术与社会技术双重挑战，推动系统性创新
- 适合政策制定者、跨领域研究者及公共治理科技人员参考
人工智能（AI）的进步有望助力解决具有集体性质且影响范围达国家或跨国层面的社会难题。例如，医疗、金融、基础设施和可持续发展等领域的问题，均可通过借助并增强AI实现国家规模的集体智能而得到有效应对。此类AI的发展与部署面临独特的技术和社技术挑战。本文详细阐述了动员跨学科研究以应对这些挑战的研究战略，并概述了必须面对的一些关键问题。
原文摘要 · Abstract (English)
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.
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