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Artificial Intelligence Applications for Workplace Safety: An In-Depth Examination
Abstract
Workplace safety has been a field of research that increasingly draws attention of the artificial intelligence scientific community. Automations are important to detect and prevent various types of incidents, ranging from accident prevention, human error detection, manual process substitution by robots, continuous surveillance, harassment reporting, crime prevention, and others. After over a decade of ground-breaking advancements in artificial intelligence (AI), relevant applications can be deployed to serve workplace safety automation. A variety of techniques such as computer vision, natural language processing, machine learning, neural networks, robotics, explainable decision making, and interconnected intelligent devices can collaborate to build accurate, modern systems that can be applied in any working environment, targeting a variety of challenges. The predictive power of contemporary AI systems is able to reduce human effort regarding monitoring, reporting, and predicting future incidents, thus enhancing employees' safety and satisfaction at work.
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