This article explores the theoretical foundations of integrating artificial intelligence (AI) into the Safe City system. Key approaches to using AI to improve urban safety are examined, including monitoring, threat prediction, emergency management, and optimization of response resources. International experience in integrating AI into urban security systems is analyzed, identifying the advantages and limitations of such solutions. The role of theoretical models, machine learning algorithms, and big data analytics as the foundation for the functioning of smart city systems is emphasized.
Iminov Akbarjon Odiljonovich (Fri,) studied this question.