Empowering construction safety culture through artificial intelligence: risk-based approach

Abstract

This article examines the part of AI in promoting part of safety in construction via a risk-based lens. Although the literature has provided insight into the use of AI in fragmented ways, a comprehensive framework to help with the integration of AI-led risk assessment into dynamic safety management was not available. This literature review pulls together contemporary AI technologies—machine learning, computer vision, and IoT and their application to risk prediction, hazard detection, and safety compliance monitoring. The principal finding is the proactive aspect of safety management empowered by real-time data analytics and predictive modeling; however, the findings do highlight issues with regards to data quality, explainability, and ethical use. The results of this review offer a first-structured direction forward towards stimulus so that to conceive more complete research, and tackle the consequences to the practitioners that may wish to realize intelligent safety systems and enhance safety culture in building.

Graphical Abstract

Keywords

Artificial intelligence / Construction safety / Big data / Smart robotics / Unnamed areal vehicles (UAVs) / Internet of things

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