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.

本文分析了人工智能对可持续城市和社区(SDG11)的进展的贡献，并通过实证分析AI系统从AIxSDG数据库和CORDIS数据库中 (N = 29) 获得的结果，揭示出AI系统在废物管理、空气质量监测、灾害响应管理、交通管理等方面确实有助于推进可持续城市发展，但仍有许多项目在为公民而不是和公民一起工作，该文有助于我们对人工智能系统对社会公益的影响进行更成熟的系统和研究。

人工智能贡献可持续城市（SDG11）的实证分析