The rapid evolution of artificial intelligence (AI) is transforming nearly every industry, and occupational health and safety (OHS) is no exception. From predictive analytics that identify workplace hazards before they occur, to computer vision systems that monitor compliance in real time, AI is redefining how we understand, manage, and mitigate risk in the workplace. This book, AI for Occupational Health and Safety, aims to bridge the gap between emerging AI technologies and their practical applications in the OHS field, offering readers a comprehensive understanding of both the opportunities and ethical considerations that come with this transformation. This text is intended for OHS professionals, safety engineers, organizational leaders, and anyone seeking to enhance workplace safety through intelligent systems. Drawing on interdisciplinary research and real-world case studies, the chapters explore how AI can be responsibly integrated into safety protocols, training programs, ergonomic assessments, and incident prevention strategies. As we stand at the intersection of human well-being and machine intelligence, this book serves as a guide for leveraging AI not just to automate, but to innovate-building safer, smarter workplaces for all.
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