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Vol. 8 pp. 753-768

S. S. Timofeeva, I. R. Kasimov, E. B. Ali

 

THE USE OF ARTIFICIAL INTELLIGENCE IN ASSESSING THE OCCUPATIONAL RISKS OF A GOLD MINING FACTORY

 

Annotation. The study presents the results of assessing the feasibility of using artificial intelligence (AI) for evaluating occupational risks at a gold processing plant. A comparative analysis of occupational risk assessments was conducted for a gold processing plant operating in the Extreme North conditions, using the freely available KioutCHAT-bot, developed by the Klin Institute of Occupational Safety. Risk assessments were performed for two key occupations at the plant: a crusher operator and a metallurgical process operator. The chatbot identified 10 and 11 occupational risks for these professions, respectively, whereas occupational safety experts identified 16 and 17 risk types. The average risk levels determined by the chatbot were nearly 1.5 times lower than those assessed by experts, and the total number of risks identified by experts was 1.6 times greater than that identified by the chatbot.Despite the rapid advancement of AI, its potential limitations and risks must be taken into account. Possible errors and inherent constraints of neural networks should be acknowledged: even with AI’s advanced data analysis and decision-support capabilities, there remains a risk of inaccurate conclusions or omission of critical information. Therefore, AI outputs currently require critical evaluation and human supervision.

Keywords: occupational safety, occupational risk, risk assessment, artificial intelligence, KioutCHAT-bot, comparative analysis.

For citation: Timofeeva S. S., Kasimov I. R., Ali E. B. [The use of artificial intelligence in assessing the occupational risks of a gold mining factory] Upravlenie tekhnosferoi, 2025, vol. 8, issue 4, рр. 753–768. DOI: 10.35634/UdSU.2025.71.76.013. (In Russ.).

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About the Authors

Timofeeva Svetlana Semenovna

Doctor of Technical Sciences, Professor, Irkutsk National Research Technical University, 83 Lermontov St., Irkutsk, 664074, Russia.  E-mail: Адрес электронной почты защищен от спам-ботов. Для просмотра адреса в вашем браузере должен быть включен Javascript.

Kasimov Igor Romanovich

Master's Student, Irkutsk National Research Technical University, 83 Lermontov St., Irkutsk, 664074, Russia. E-mail: Адрес электронной почты защищен от спам-ботов. Для просмотра адреса в вашем браузере должен быть включен Javascript.

Ali Elena Borisovna

Candidate of Technical Sciences, Associate Professor, Izhevsk State Technical University, 7 Studencheskaya str., Izhevsk, 426069, Russia. E-mail: Адрес электронной почты защищен от спам-ботов. Для просмотра адреса в вашем браузере должен быть включен Javascript.

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