Integrating AI-Driven Safety Protocols in Construction Management: A Hybrid Approach

Abstract

The advent of artificial intelligence (AI) presents unprecedented opportunities for enhancing safety protocols within construction management. This study evaluates the integration of AI-driven safety mechanisms into existing construction management practices, proposing a hybrid approach that synergizes traditional safety measures with advanced AI technologies. Emphasizing both predictive analytics and real-time monitoring, the proposed framework aims to mitigate the inherent risks associated with construction activities, thereby promoting a safer working environment.

AI technologies such as machine learning and computer vision are leveraged to proactively identify potential hazards and optimize safety protocols. By employing data-driven insights, the proposed system enhances decision-making processes and facilitates the early identification of risk factors that are traditionally overlooked. Furthermore, AI-enabled sensors and IoT devices provide continuous monitoring of site conditions, offering real-time alerts and actionable intelligence to prevent accidents before they occur. This integration allows for a dynamic and adaptive safety management system that aligns with the complex and evolving nature of construction sites.

The hybrid approach not only augments traditional safety practices but also introduces a new paradigm for risk management in construction. By incorporating AI-driven insights, safety managers can prioritize interventions based on predictive risk assessments, thereby allocating resources more effectively and improving overall safety outcomes. The research outlines the technological architecture required for this integration and discusses the potential challenges and solutions associated with the deployment of AI systems in construction environments.

Through a comprehensive analysis, this paper demonstrates the transformative potential of AI in revolutionizing construction safety protocols. The findings underscore the importance of interdisciplinary collaboration and continuous innovation to fully realize the benefits of AI implementation in construction safety management. By advancing towards a more intelligent and responsive safety framework, the construction industry can achieve significant reductions in workplace accidents, fostering a culture of safety and resilience.