Advancements and challenges in the application of artificial intelligence in civil engineering: a comprehensive review

Machine learning methods in civil engineering: a systematic review

“…• Challenges include data availability and effectiveness, defining AI models, ethical considerations, and the need for collaborative partnerships [16]. • The integration of AI in civil engineering poses questions about the future role of human engineers and the importance of engineering intuition and creativity [17].…”

“…• The use of AI in civil engineering has the potential to improve the efficiency, safety, and sustainability of infrastructure systems [16]. • AI can bring digitalization in the construction industry to a new level and create new services and business models [19].…”

“…• Traditional methods fall short in adequately accounting for the complexity of infrastructure systems [16]. • Limited visibility into how AI technology works and performs [33].…”

“…• Improved efficiency, safety, and sustainability of infrastructure systems ( [16]. • Enhanced decision-making based on meaningful insights from data ).…”

“…• Uneven development of intelligence at various stages and limitations in practical applications (Liu et al, 2024). • Challenges with data availability, AI model definition, and ethical considerations [16]. • Need for collaborative partnerships and overcoming knowledge gaps [34].…”