LEVERAGING LARGE LANGUAGE MODELS TO ENHANCE SAFETY AWARENESS AND ACCESSIBILITY OF OSHA REGULATIONS FOR CONSTRUCTION WORKERS
Conference
Mani, N, Pradhananga, N, Shrestha, K. (2025). LEVERAGING LARGE LANGUAGE MODELS TO ENHANCE SAFETY AWARENESS AND ACCESSIBILITY OF OSHA REGULATIONS FOR CONSTRUCTION WORKERS
. 10.35490/EC3.2025.368
Mani, N, Pradhananga, N, Shrestha, K. (2025). LEVERAGING LARGE LANGUAGE MODELS TO ENHANCE SAFETY AWARENESS AND ACCESSIBILITY OF OSHA REGULATIONS FOR CONSTRUCTION WORKERS
. 10.35490/EC3.2025.368
Traditional methods for reviewing construction safety regulations are typically manual, time-consuming, and susceptible to inconsistencies. This study explores the use of Large Language Models (LLMs) to simplify complex regulatory language, thereby enhancing employers’ and workers’ understanding of OSHA policies and regulations. By processing images and textual reports from construction sites and regulations, LLMs can identify hazards, match them to relevant regulations, and provide actionable recommendations. This real-time, context-specific approach bridges the gap between regulations and practical application, fostering a safer, more informed workforce. Additionally, LLMs improve accessibility and comprehension of OSHA standards, aligning safety practices with regulatory requirements more effectively.
