Abstract Workplace safety in construction is a significant issue worldwide. It is well known that thousands of accidents happen every year. Worker safety is a top priority and can be addressed with innovative technology. AI can transform safety practices by reducing accidents and streamlining operations. This paper examines how AI technologies like drones, IoT sensors, smart cameras, and predictive algorithms can be used in risk monitoring and prevention. These tools enable immediate hazard detection and alertness so you can take preventative measures and have better working conditions on-site. Based on case studies in Italy, Spain, and France, we show that AI solutions have reduced workplace accidents by 35%, so they work. However, AI in construction has challenges, such as high implementation costs, resistance to change, and ethical issues around workers’ privacy. Despite these obstacles, the benefits – from cost savings to increased productivity and worker protection – far outweigh the drawbacks. The paper argues for public policies encouraging AI in construction safety and proposes further research avenues to develop the best solutions. This could be the way to a safer workplace through AI, as the study shows that AI can offer a more proactive and data-driven approach, a safer and more sustainable future for the industry.
Valentin-Ilie FăgărăŞian (Tue,) studied this question.
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