aspg-22-1890-1791483631 20261008182031 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of BIM and Engineering Science IJBES 2571-1075 2023 6 2 Ali Louai Mostafa Student of Master program in Building Information Modeling and Management at Syrian Virtual University, Damascus, Syria Mohamed Ali Mohamed Lecturer Professor, Building Information Modelling and Management Master Program, Syrian Virtual University, Damascus, Syria Sonia Ahmed Lecturer Professor at the Faculty of Engineering, Al-Rasheed University,and Building Information Modelling and Management Master Program, Syrian Virtual University, Damascus, Syria Waleed Mahfouz M. A. Youssef Structural Engineering, Faculty of Engineering, Cairo University, Giza, Egypt Nowadays, the construction sector industry energizes all other industries to diversify their service areas, nonetheless this sector needs to keep leading with technological developments. Following the adoption of Building Information Modeling technology (BIM), the construction projects has become more controlled and coordinated, which has contributed to improve productivity rates and to rationalize resources usage. This research is studied the developments in construction, especially technologies that adopt artificial intelligence (AI) with BIM technology such as machine learning, Augmented Reality techniques (AR), digital assistants, robots, automatic planning, scheduling, and optimization. These techniques can be used during design and construction stages to improve collaborative processes that have become a cornerstone of BIM technologies, as well as financial control and scheduling. Through using BIM, the construction industry can adopt AI technologies like autonomous systems and rely on machine learning in project management to access AI-based project self-management. 2023 39 54 1890 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJBES.060203 https://www.americaspg.com/journal/22/article/1890 https://www.americaspg.com/storage/71775083093.pdf