| Title |
Development of Generative AI-based System for Extracting and Analyzing Construction Accident Cases |
| Authors |
Su Hyeon Choe ; Han Soo Kim |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2025.26.4.003 |
| Keywords |
Construction Accidents; Safety Management; Generative AI; ChatGPT; Extraction and Analysis System |
| Abstract |
The construction industry faces a higher severity and risk of accidents compared to other industries. With growing societal concern over construction accidents and the strengthening of legal responsibilities for construction companies, systematic and proactive safety management has become even more crucial. Analyzing past accident cases is essential for preventing the recurrence of similar incidents and establishing an effective safety management system. However, identifying relevant cases from the vast accumulation of past accident records that suit specific project conditions requires substantial time and effort. One potential solution is applying generative AI technology with natural language processing capabilities to extract and analyze construction accident cases. The objective of this study is to develop and propose a system that uses ChatGPT, a generative AI, to extract and analyze construction accident cases provided by the Korea Occupational Safety and Health Agency. This system is expected to contribute to proactive accident response and improve safety management systems in construction companies. |