Abstract
Artificial intelligence (AI) technologies are deployed in construction projects to analyze a large corpus of data, identify patterns in the data, infer from the data, and provide relevant insights to inform decisions in construction projects. However, the scientific literature recognized multiple risks of AI in construction projects. Therefore, this study investigated the critical risk factors for implementing AI in construction projects. The findings revealed forty-nine (49) critical risk factors for AI in construction projects, which have data, technical, knowledge, management, financial, and legal dimensions. It is discovered that the risk factors are disproportionately discussed in theoretical studies and underrepresented in decision-making models/frameworks. It is also established that the existing studies failed to leverage the sociotechnical perspective to jointly optimize risk management for AI deployment in construction projects. Thus, the study provides better insights and establishes a fertile ground for future investigation into the critical risk factors for AI in construction projects.
| Original language | English |
|---|---|
| Pages (from-to) | 639-659 |
| Number of pages | 21 |
| Journal | International Journal of Construction Management |
| Volume | 26 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2026 |
Bibliographical note
Publisher Copyright:© 2025 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Artificial intelligence
- construction projects
- critical risk factors
- risks
- social network analysis
- systematic review
ASJC Scopus subject areas
- Architecture
- Building and Construction
- Strategy and Management
- Management of Technology and Innovation
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