| contributor author | Sammour, Farouq | |
| contributor author | Xu, Jia | |
| contributor author | Wang, Xi | |
| contributor author | Hu, Mo | |
| contributor author | Zhang, Zhenyu | |
| date accessioned | 2026-08-20T21:36:30Z | |
| date available | 2026-08-20T21:36:30Z | |
| date copyright | 2025/10/24 | |
| date issued | 2026 | |
| identifier other | JCEMD4.COENG-16639.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314728 | |
| description abstract | AbstractResponsible artificial intelligence (AI) in construction safety requires rigorous,
domain-specific evaluation. Deploying large language models (LLMs) without understanding
their capabilities and limitations risks generating inaccurate information ... | |
| publisher | American Society of Civil Engineers | |
| title | Responsible AI in Construction Safety: Systematic Evaluation of Large Language Models and Prompt Engineering | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 1 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/JCEMD4.COENG-16639 | |
| journal fristpage | 04025217-1 | |
| journal lastpage | 04025217-15 | |
| page | 15 | |
| tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 001 | |
| contenttype | Fulltext | |
