Artificial Intelligence-Driven Smart Cities: A Framework for Addressing Contemporary Urban Challenges (Case Study: Baghdad)

Mazin Ismael Raheem; Maha Ismail Raheem

doi:10.65582/aifsc.2026.009

Authors

Mazin Ismael Raheem University of Nottingham, Department of Architecture and Built Environment, Nottingham, United Kingdom. https://orcid.org/0009-0005-6916-5596
Maha Ismail Raheem University of Information Technology and Communications, Baghdad, Iraq. https://orcid.org/0009-0001-7768-9833

DOI:

https://doi.org/10.65582/aifsc.2026.009

Keywords:

: Artificial Intelligence (AI), Smart Cities, Sustainable Urban Development, Urban Data Analytics, AI-Driven Urban Planning

Abstract

In order to address current urban difficulties, this study investigates how artificial intelligence (AI) can improve smart city frameworks. This paper contends that integrating AI techniques—such as machine learning, predictive analytics, and data-driven decision-making—can greatly enhance urban performance and sustainability, despite the fact that traditional smart city models mostly rely on information and communication technology. The research employs an applied and inductive methodology. First, by combining AI-driven systems with smart city concepts, a thorough theoretical framework is created. Second, a set of AI-oriented urban indicators are used to assess the framework's efficacy in the city of Baghdad as a case study. In order to replicate AI-assisted decision-making, the analysis combines survey data with analytical interpretation. The results show that AI-enhanced smart city systems can boost resource management, government transparency, environmental sustainability, and service efficiency. However, sociocultural, technological, and economic obstacles continue to be major obstacles to implementation. The study's conclusion suggests strategic investments in digital infrastructure, data systems, and AI capabilities as well as an AI-based urban model that can be modified for growing cities.

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