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Problems of artificial intelligence in construction

С. М. Чекардовский, Aleksey Burtsev

Year
2025
Citations
3
Access
Open access

Abstract

Purpose. The study presents the key aspects of the introduction and use of artificial intelligence (AI) in the construction industry. The challenges faced by builders when implementing AI, such as the high cost of equipment and the need for retraining, are discussed. The advantages of AI are also considered, including improving design efficiency, reducing costs and improving control over construction processes. Special attention is paid to the use of AI in monitoring construction sites, risk forecasting, automation of typical operations and the use of autonomous technology. The article emphasizes that despite the existing problems, it is a powerful tool for the transformation of the construction industry, which can significantly improve the quality and speed of construction. Methods. The research uses methods of statistical and comparative analysis, the «golden square» method in the context of digitalization of the IC, focused on managing complex situations. Results. A classifier of threats and risks for IC in difficult situations has been developed from the point of view of the sustainable development of artificial intelligence in the construction industry. Conclusion. Artificial intelligence in construction opens up new horizons for improving efficiency and optimizing processes. From BIM technologies to autonomous robots and drones, and is becoming an integral part of the modern construction industry. However, despite all the advantages, there are also challenges, such as the high cost of equipment and the need for retraining. Nevertheless, the potential in construction is huge, and its implementation promises significant improvements in the quality, speed and safety of construction work. The paper provides an overview of the problems of IC in modern conditions. The analysis of the application of the "golden square" method in the context of digitalization of the IC, focused on managing complex situations, is presented. A classifier of threats and risks for the UK in difficult situations from the point of view of sustainable development has been developed.

Keywords

Computer scienceArtificial intelligenceCognitive sciencePsychology

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