IMPROVING CONSTRUCTION PROJECTS AND REDUCING RISK BY USING ARTIFICIAL INTELLIGENCE

Milena Senjak Pejić; Mirjana Terzić; Dragana Stanojević; Igor Peško; Vladimir Mučenski

doi:10.58898/sij.v2i1.33-40

Authors

Milena Senjak Pejić University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia https://orcid.org/0000-0002-1036-1243
Mirjana Terzić University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia https://orcid.org/0000-0002-8596-6562
Dragana Stanojević University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia https://orcid.org/0000-0002-8449-7127
Igor Peško University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia https://orcid.org/0000-0001-9098-3642
Vladimir Mučenski University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia https://orcid.org/0000-0001-9830-4747

DOI:

https://doi.org/10.58898/sij.v2i1.33-40

Keywords:

AEC industry, artificial intelligence, construction technology, AI opportunities

Abstract

Architectural, engineering and construction (AEC) industry has large amounts of data, the analysis of which can predict risks such as project delays, project budget overruns, low resource use efficiency, environmental damage, reduced safety, and the like. Research has shown that 98% of construction projects are realized with the contracted budget and deadline exceeded. This paper aims to show the significant potential and possibilities of applying artificial intelligence (AI) in the AEC industry, pointing out the benefits and obstacles faced by the AEC industry during the implementation of AI. The benefits of applying AI in the AEC industry relate to increasing efficiency, reducing costs, increasing productivity, increasing safety, better planning and providing timely and accurate information. The key obstacles that hinder the implementation of AI in practice are high implementation costs, incomplete data, job loss due to automation, mistrust of AI technology, cyber vulnerability, and lack of understanding field of AI.

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Author Biographies

Milena Senjak Pejić, University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia
Mirjana Terzić, University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia
Dragana Stanojević, University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia
Igor Peško, University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia
Vladimir Mučenski, University of Novi Sad, Faculty of Technical Sciences, Department of Civil Engineering and Geodesy, Novi Sad, Serbia

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