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arXiv 2202.02879cs.AI
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AI对可持续城市贡献的实证分析(SDG11)

An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)

Bonn Alliance for Sustainability Research, University of Bonn(波恩大学波恩可持续发展研究联盟);University of Münster(明斯特大学)

Shivam Gupta, Auriol Degbelo

摘要:

人工智能(AI)为开发工具和技术提供了机会,以应对一些重大的全球挑战,并提供具有重大社会和经济影响的解决方案。人工智能的应用对17个可持续发展目标(SDG),特别是可持续城市发展具有深远的影响。然而,现有的理解和利用人工智能为可持续发展目标11提供的机会的尝试很少被探索,人工智能实际应用的经验证据仍然缺乏。在本章中,我们分析了人工智能对支持可持续发展目标11(可持续城市和社区)的贡献。我们通过实证分析AIxSDG数据库和社区研究与发展信息服务(CORDIS)数据库中的AI系统(N = 29)来解决知识差距。我们的分析显示,人工智能系统确实在几个方面为推进可持续城市做出了贡献(例如,废物管理、空气质量监测、灾害应对管理、运输管理),但许多项目仍然是为公民服务,而不是与公民合作。人工智能对可持续发展目标11的影响本质上是部分的,但随着我们走向更成熟的系统和研究人工智能系统对社会公益的影响,这对促进我们的理解是有用的。

英文摘要:

Artificial Intelligence (AI) presents opportunities to develop tools and techniques for addressing some of the major global challenges and deliver solutions with significant social and economic impacts. The application of AI has far-reaching implications for the 17 Sustainable Development Goals (SDGs) in general, and sustainable urban development in particular. However, existing attempts to understand and use the opportunities offered by AI for SDG 11 have been explored sparsely, and the shortage of empirical evidence about the practical application of AI remains. In this chapter, we analyze the contribution of AI to support the progress of SDG 11 (Sustainable Cities and Communities). We address the knowledge gap by empirically analyzing the AI systems (N = 29) from the AIxSDG database and the Community Research and Development Information Service (CORDIS) database. Our analysis revealed that AI systems have indeed contributed to advancing sustainable cities in several ways (e.g., waste management, air quality monitoring, disaster response management, transportation management), but many projects are still working for citizens and not with them. This snapshot of AI's impact on SDG11 is inherently partial, yet useful to advance our understanding as we move towards more mature systems and research on the impact of AI systems for social good.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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