Research on strategies for enhancing the competency of safety directors in EPC projects empowered by AI
Jing Guan, Zhen chao Yang, Congcong Wang · 2026
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Description
Jing Guan, Zhen chao Yang, and Congcong Wang studied how artificial intelligence can raise the competence of safety directors on large engineering-procurement-construction projects, where one contractor designs, buys, and builds. Such sites change daily, and experience-based inspection is hitting its limits. The authors built a framework around sensing risks, seizing responses, and reconfiguring routines, drawing on management theory.
A comparative evaluation scored safety directors working the traditional way against those backed by AI tools, using structured expert weighting. The AI-supported mode's composite competence index rose by roughly forty-six percent, reflecting a shift from experience-driven to data-driven safety work. The framework gives firms a concrete syllabus for what an AI-era safety director must be able to do.
Catalog record
| CREATOR | Jing Guan, Zhen chao Yang, Congcong Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 69522 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |