  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.
