Published February 27, 2026
| Version v1
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THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE APPLICATION IN THE "SAFE CITY" SYSTEM
Authors/Creators
- 1. Tashkent State University of Economics
Description
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.
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References
- 1. Ahmed, S., Hossain, M.F., Kaiser, MS, Noor, M.B.T., Mahmud, M.R. & Chakraborty, C. Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities. Advanced Sciences and Technologies for Security Applications, 2021, pp.23 47. DOI:10.1007/978-3-030-72139-8_2. 2. Mohammadi, M., & Al‑Fuqaha, A. Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges. arXiv, 2018. 3. R. Szeliski. Computer Vision: Algorithms and Applications. Springer, 2019. 4. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. Pearson, 2021. 5. ShotSpotter Inc. Urban Safety Technologies. 2022. 6. Smart Nation Singapore. AI for Urban Safety. Government Report, 2021. 7. Szpilko, D., Jimenez Naharro, F., Lăzăroiu, G., Nica, E., & de la Torre Gallegos, A. Artificial Intelligence in the Smart City - A Literature Review. Engineering Management in Production and Services, 2023, 15(4). 8. Ullah, A., Qi, G., Hussain, S., Ullah, I., & Ali, Z. The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions. arXiv, 2024.Xu, H., Omitaomu, F., Sabri, S., Zlatanova, S., Li, X., & Song, Y. Leveraging Generative AI for Urban Digital Twins. arXiv, 2024. 9. UN-Habitat. Urban Safety and Smart Cities. UN, 2020. 10. Wolniak, R. & Stecuła, K. Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review. Smart Cities, 2024, 7(3), 1346–1389. DOI:10.3390/smartcities7030057. 11. Wooldridge M. An Introduction to MultiAgent Systems. Wiley, 2020.