Embracing the Future:AI and ML Transforming Urban Environments in Smart Cities

作     者：Gagan Deep Jyoti Verma 

作者机构：Chitkara Business SchoolChitkara UniversityRajpuraPunjab140401India 

出 版 物：《Journal on Artificial Intelligence》 (人工智能杂志（英文）)

年 卷 期：2023年第5卷第1期

页      面：57-73页

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

主　　题：Artificial Intelligence(AI) Machine Learning(ML) smart city data analytics decision-making predictive analytics optimization 

摘      要：This research explores the increasing importance of Artificial Intelligence(AI)and Machine Learning(ML)with relation to smart *** discusses the AI and ML’s ability to revolutionize various aspects of urban environments,including infrastructure,governance,public safety,and *** research presents the definition and characteristics of smart cities,highlighting the key components and technologies driving initiatives for smart *** methodology employed in this study involved a comprehensive review of relevant literature,research papers,and reports on the subject of AI and ML in smart *** sources were consulted to gather information on the integration of AI and ML technologies in various aspects of smart cities,including infrastructure optimization,public safety enhancement,and citizen services *** findings suggest that AI and ML technologies enable data-driven decision-making,predictive analytics,and optimization in smart city *** are vital to the development of transport infrastructure,optimizing energy distribution,improving public safety,streamlining governance,and transforming healthcare ***,ethical and privacy considerations,as well as technical challenges,need to be solved to guarantee the ethical and responsible usage of AI and ML in smart *** study concludes by discussing the challenges and future directions of AI and ML in shaping urban environments,highlighting the importance of collaborative efforts and responsible *** findings highlight the transformative potential of AI and ML in optimizing resource utilization,enhancing citizen services,and creating more sustainable and resilient smart *** studies should concentrate on addressing technical limitations,creating robust policy frameworks,and fostering fairness,accountability,and openness in the use of AI and ML technologies in smart cities.