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- Title
LEVELS OF AI APPLICABLE IN SMART CITIES.
- Authors
CZUPRYNA-NOWAK, leksandra; SACHENKO, Svitlana
- Abstract
Purpose: A Smart City is the most essential ideology for city development. Technologies based on Artificial Intelligence are an indispensable part of this ideology. There is no smart city level in which its elements are not used. The article overviews the areas where cities have used technology based on Artificial Intelligence. The article aims to examine and present various applications of Artificial Intelligence in the context of smart cities. The article aims not only to identify and analyze the multiple levels at which AI can be used to improve the quality of life of residents and the efficiency of city services but also to draw attention to the challenges and potential implications related to the implementation of these technologies. Practical examples supported theoretical considerations. Design/methodology/approach: The article uses a literature search. An in-depth analysis of the techniques used in Polish cities, not only those boasting the name of smart city, was carried out. Findings: During research on the use of Artificial Intelligence in smart cities, several key areas were identified in which AI has a significant impact: traffic and transport management, energy management and sustainable development, public safety, waste, and natural resources management, services for residents and spatial planning and urban development. These results can serve as a basis for further research and development of AI implementation strategies in urban contexts. Originality/value: The critical value of the article is its ability to identify and analyze both the opportunities and challenges associated with implementing AI in cities. The article contributes to a deeper understanding of smart cities' potential benefits and risks through a balanced approach considering technological, social, ethical, and environmental aspects.
- Subjects
SMART cities; CITIES &; towns; URBAN growth; URBAN planning; NATURAL resources management; ENERGY demand management
- Publication
Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, 2023, Issue 186, p73
- ISSN
1641-3466
- Publication type
Article
- DOI
10.29119/1641-3466.2023.186.6