IMPROVING CONSTRUCTION PROJECTS AND REDUCING RISK BY USING ARTIFICIAL INTELLIGENCE

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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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APA

Senjak Pejić, M. … Mučenski, V. (2023). IMPROVING CONSTRUCTION PROJECTS AND REDUCING RISK BY USING ARTIFICIAL INTELLIGENCE. Social Informatics Journal, 2(1), 33–40. https://doi.org/10.58898/sij.v2i1.33-40

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