ABSTRACT
Artificial Intelligence (AI) is revolutionizing safety practices in chemistry laboratories by offering advanced tools for hazard prediction, real-time monitoring, autonomous operations, and intelligent decision-making. This review explores the multifaceted roles of AI in enhancing laboratory safety, highlighting its application in risk assessment through machine learning algorithms, surveillance via AI-powered computer vision, and incident prevention using predictive analytics. It also examines AI’s contributions to autonomous robotic systems for handling hazardous tasks, smart inventory and waste management, and personalized safety training through virtual simulations. Furthermore, AI-driven decision support systems are shown to significantly improve emergency response and compliance monitoring. Despite challenges such as data limitations, integration complexities, and ethical concerns, the adoption of AI is paving the way for safer, smarter, and more efficient chemical laboratories. This review underscores the transformative potential of AI in fostering a proactive and sustainable safety culture in chemical research and industry.
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