Accident Prevention Opportunities for Plants Handling Hazardous Materials with the Help of Artificial Intelligence

Abstract

Artificial intelligence is not a new technology, its wide applicability has made it known in all economic sectors. With the help of algorithms modeled on human thinking, processes can be automated, work phases that are not liked by employees can be replaced, and activities can be made easier. Machine learning is continuous, its development is large and rapid. The use of artificial intelligence tools within the appropriate framework (ethics, sufficient critical approach) can increase efficiency, be cost-effective and significantly reduce risks arising from human error. In connection with the latter, artificial intelligence also has a raison d'être in occupational safety. Especially in cases where it is limited to outline all possible outcomes in connection with certain events and eliminate human factors. Especially when it comes to plants that are not "traditional", but deal with hazardous materials. It is necessary to assess the knowledge of artificial intelligence tools and identify development directions so that they can be well applied in these cases and operate effectively. The most important question in this regard is whether AI models are able to map all possible outcomes of events, potential risks in a way that does not leave out the human factor, and whether they are able to formulate measures to prevent and reduce potential risks.