Reframing Urban Intelligence: A Critical Global Analysis of Artificial Intelligence Integration in Inclusive and Sustainable Urban Design

This study offers a critical and comprehensive exploration of the transformative potential of Artificial Intelligence (AI) in shaping inclusive and sustainable urban design, using a multi-method analytical framework applied to five international smart-city case studies. Unlike most existing research, which emphasizes AI’s technical efficiencies—such as traffic optimization and utility management—this study broadens the discourse to encompass algorithmic fairness, ethical accountability, long-term institutional adaptability, and socio-spatial equity. To systematically evaluate AI’s urban applications, a comparative framework was developed covering domains such as mobility, resource allocation, public-space design, and citizen participation. The analysis reveals persistent challenges—including scalability constraints, infrastructural and governance disparities, and context-specific limitations—that often impede equitable AI implementation. The discussion explicitly recognizes methodological limitations, risks of technological dependency, and the need for privacy, security, and interoperability safeguards to ensure resilient systems. Building on these findings, the paper proposes a human-centered and ethically anchored integration model that emphasizes transparency, stakeholder participation, and resilience-by-design as prerequisites for sustainable AI adoption. The results contribute novel insights into reconciling technological innovation with principles of inclusivity, justice, and long-term urban resilience in the emerging landscape of AI-enabled cities.