AI in Smart Cities: Transforming Urban Living through Data-driven Innovation
Abstract
This paper investigates the role of artificial intelligence (AI) in shaping the development of smart cities, focusing on how AI-driven innovations are transforming urban living through data-driven approaches. Through an analysis of case studies and emerging trends, the study explores how AI technologies such as machine learning, Internet of Things (IoT), and big data analytics are revolutionizing various aspects of urban infrastructure, governance, and services. It examines the potential of AI in optimizing resource allocation, enhancing public safety, and improving sustainability in smart cities. Additionally, the paper discusses the challenges and opportunities associated with AI deployment in urban environments, including issues related to data privacy, algorithmic bias, and digital divide. Furthermore, it explores the importance of citizen engagement, ethical considerations, and policy frameworks in ensuring the responsible and equitable use of AI in smart city initiatives. The findings underscore the transformative potential of AI in creating more efficient, inclusive, and sustainable cities for future generations.
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References
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