Smart Cities with Artificial Intelligence

As urbanization accelerates, smart cities have become a strategic response to managing complex urban systems through digital transformation. Artificial intelligence (AI), particularly Explainable Artificial Intelligence (XAI), plays a vital role in optimizing urban operations and services by enabling data-driven decision-making while addressing concerns around transparency and trust. Despite the integration of AI in urban infrastructures, there is limited research on the application of XAI across various smart city domains, particularly regarding systemic impacts, ethical compliance, and user interpretability. This study aims to explore how XAI contributes to enhancing transparency, reliability, and trust in smart cities while supporting effective governance and service delivery. The findings demonstrate that XAI enables interpretable and transparent AI models, thereby improving decision-making in areas such as transportation, healthcare, waste management, and governance. XAI enhances public confidence by clarifying AI-generated outcomes and supporting ethical, accountable systems. This research presents a comprehensive synthesis of current developments in XAI for smart cities, highlighting its transformative potential not merely as a technical tool, but as a strategic enabler of transparent, human-centric urban innovation. The study underscores the need for standardized XAI frameworks and interdisciplinary collaboration to address implementation challenges, ethical issues, and governance gaps. Future research should prioritize domain-specific XAI models, empirical assessments of long-term impacts, and the development of policy guidelines that align technological efficiency with public accountability in smart urban ecosystems