Artificial intelligence (AI) in the context of smart city is an emerging topic of research and practice. Several researchers have noted that AI is becoming an increasingly significant component of smart city agendas (e.g. Cugurullo, 2020; Marvin et al., 2022; Yigitcanlar & Cugurullo, 2020). Applications of AI in smart city include a wide range of sectors, such as energy, finance, national security, health care, criminal justice,, transportation, water management and waste management. Innovative concepts such as city brains, robots, automated vehicles or building futuristic cities from scratch (i.e. NEOM), all feature advanced AI capabilities promising greater efficiency and sustainability in cities. Even though AI has extensive application prospects, there is still a lack of social science research on the wider integration of AI into smart city agendas in terms of societal opportunities, risks and disruptions (Yigitcanlar et al., 2020)
This session seeks to explore the integration of AI into smart city initiatives (agendas). It aspires to stimulate discussion about conceptual, methodological, and empirical aspects of AI technological advancements and experiences embedded in smart cities. It also seeks to elaborate on the impacts of AI in smart cities in terms of public value, citizen participation, urban infrastructure, urban governance, urban planning, urban economy, urban platforms, and urban sustainability.
We invite researchers working on the intersections of AI and smart city to present their work on addressing a variety of urban issues (e.g. urban energy, transport, safety, water quality and waste-disposal, etc.) through the integration of various AI technologies (e.g. big data, machine learning, Internet of Things, optimization algorithms) into smart city initiatives. The session’s objective is to deepen our understanding of integrating AI into smart city initiatives from a wider socio-political perspective. In this context, we call for papers, engaging with, but not limited to, the following:
 

Ethics and biases of AI in smart cities.
Critical analyses of urban AI implementations.
Green and equitable AI applications for smart cities.
The ways user’s experiences are handled by AI, and in turn inform smart city policies.
Data-driven AI and public value in smart cities.
Politics of AI in smart cities and impact on urban governance, including algorithmic governance, platform governance, platform urbanism.
Co-production of AI technologies and urban development practices.
AI and citizen participation in smart cities.

Zongtian Guo (1); Eriketti Servou (2)
(1) Trinity College Dublin, (2) Eindhoven University of Technology

 
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