Author ORCID Identifier
https://orcid.org/0009-0008-3282-5556
Date Available
1-13-2025
Year of Publication
2025
Document Type
Master's Thesis
Degree Name
Master of Science in Civil Engineering (MSCE)
College
Engineering
Department/School/Program
Civil Engineering
Advisor
Dr. Hala Nassereddine
Abstract
The construction industry is one of the most important sectors that contribute to the economy worldwide, but it has been very slow in adopting digital transformation. Artificial Intelligence is the backbone of digital innovation, and it can help solve inefficiencies, improve safety, and enhance decision-making in construction. This thesis reviews 85 academic papers, identifies 354 AI use-cases, 180 benefits, and 173 challenges. Key findings have looked at the role of AI in safety monitoring, design optimization, and operational efficiency, while barriers involve data scarcity, high costs, and readiness of the workforce.
All of these challenges have one very handy framework proposed: the assessment of readiness, identification of use cases, strategy on data, and scalability of implementation. This framework very well articulates the sequential steps through which AI can be embedded into the construction workflows for advancing the industry on aspects related to efficiency as well as innovation. Further research should first validate this framework and then develop it with case studies.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2024.542
Recommended Citation
de Aquino Leite Gomes, Jaqueline, "A Framework for AI Implementation in Construction: Use Cases, Challenges, and Benefits for Contractors" (2025). Theses and Dissertations--Civil Engineering. 150.
https://uknowledge.uky.edu/ce_etds/150