A Study of AI Applications in the Mexican Architecture, Engineering and Construction Industry: Opportunities and Challenges
Abstract
Artificial intelligence (AI) has emerged as a revolutionary force that radically transforms the technological landscape and opens up a multitude of possibilities across various sectors. The architecture, engineering, and construction (AEC) industry is no exception, and fully capitalizes on the potential of AI. This technology is being crucially integrated into its processes, not only to improve operational efficiency and reduce costs but also as a driving force behind innovations that redefine building and infrastructure design and construction. The incorporation of AI into the AEC industry can lead to significant improvements in planning, design, resource management, and maintenance, thereby increasing productivity and promoting sustainability. Moreover, AI can optimize the use of materials, predict potential failures, and enhance safety at construction sites, resulting in safer and more efficient projects. However, the integration of AI is not without challenges and risks, which must be managed responsibly and prudently. These challenges include issues related to AI ethics, safety, reliability, transparency, inclusion, regulation, and long-term sustainability. This article aims to explore the various applications of AI in the AEC industry, highlighting both the opportunities it offers for innovation and efficiency, and the challenges inherent in its integration into everyday processes. By unraveling the impact of AI, we seek to not only understand its current role but also project its future influence in creating more innovative and sustainable built environments. Through a detailed analysis, we aim to shed light on how AI can transform the industry and contribute to more efficient ecological development, ensuring that technology is used ethically and responsibly for the benefit of all.
Keywords: artificial intelligence; architecture; engineering and construction; machine learning; building information modeling
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