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The integration of artificial intelligence (AI) into the civil engineering industry represents a transformative shift with far-reaching implications for how infrastructure is designed, constructed, and maintained. This comprehensive exploration into AI’s role within civil engineering aims to elucidate the multifaceted impacts, challenges, and prospects associated with this technological evolution. Spanning the period from 2020 to 2024, this research delves into the advancements in AI technologies, such as machine learning, computer vision, and data analytics, and their applications in enhancing project efficiency, sustainability, and resilience. Civil engineering, in the world of the design, construction, and maintenance of vital infrastructure such as bridges, roads, buildings, and water systems, stands poised at the forefront of this technological revolution. The integration of AI promises to enhance every stage of the civil engineering lifecycle, from initial design and planning to construction management and ongoing maintenance. By harnessing the power of AI algorithms, machine learning, and data analytics, civil engineers can optimize project outcomes, minimize risks, and create more resilient and sustainable infrastructure solutions. The adoption of AI in civil engineering is not without its challenges and complexities. Ethical considerations, data privacy concerns, and the need for interdisciplinary collaboration present formidable obstacles that must be navigated to realize the full potential of AI-driven innovation in the field. Moreover, the rapid pace of technological advancement necessitates ongoing adaptation and upskilling within the civil engineering workforce to fully leverage the capabilities of AI technologies. This research endeavors to explore the complex role of AI in the development of the civil engineering industry. By examining current applications, identifying challenges, and envisioning future trends, this study seeks to provide insights that will inform strategic decision-making, ... |