Author page: Zlata Kokoshina

Digital Technologies Development as a Factor in Transforming the Socio-Economic Situation of the Mining Industry Workers in the Russian Federation

DOI: 10.33917/es-4.202.2025.78-85

The article analyzes socio-economic situation of workers in the mining industry (from 2019 to 2025) and identifies trends in transition from traditional to innovative tools in the personnel’s work activities. It was also discovered that introduction of artificial intelligence technologies helps to minimize the human factor and ensures maximum production ef ficiency.

The present article also examines transformation of the qualitative and quantitative characteristics of the mining industry representatives, their social consequences, in particular, the impact of mining work on psychophysical health.

The paper also studies development of a nonlinear algorithm with the help of ar tificial intelligence methods, including a neural network and cognitive modules, as a factor in transition from traditional to innovative tools in the work of mining personnel, having direct significance for humans.

References:

1. Zinov’eva O.M., Merkulova A.M., Smirnova N.A., Shcherbakova E.A. K voprosu upravleniya psikhosotsial’nymi riskami v gornom dele [Psychosocial Risk Management Issue in Mining]. Gornyy informatsionno-analiticheskiy byulleten’, 2022, no 1, pp. 20–33.

2. Timofeeva S.S., Boboev A.A., Drozdova I.V. Identifikatsiya opasnostey pri dobyche rudnogo zolota v Rossii i Uzbekistane [Hazards Identification in Gold Mining in Russia and Uzbekistan]. Journal of Advances in Engineering Technology, vol. 1(1), Sept. 2020, pp. 1–7.

3. Chebotarev A.G., Leskina L.M., Golovkova N.P. Usloviya truda i professional’nyy risk narusheniya zdorov’ya rabochikh rudnykh kar’erov [Working Conditions and Quarry Workers Occupational Health Risks]. Gornaya promyshlennost’, 2020, no 5, pp. 115–119.

4. Berezovskaya A.V., Fomin A.I. Faktory opasnosti zdorov’yu shakhterov i mery protivodeystviya etim riskam [Health Hazards to Miners and Measures to Counteract These Risks]. Mezhdunarodnyy nauchno-issledovatel’skiy zhurnal, 2023, no 5(131), pp. 1–8.

5. Zykova N.V. Silikoz [Silicosis]. Krasota i Meditsina, 2020, available at: https://www.krasotaimedicina.ru/diseases/zabolevanija_pulmonology/silicosis

6. Poletaeva A.V., Seryy A.V. Psikhologicheskie faktory perezhivaniya neschastnykh sluchaev na proizvodstve rabotnikami ugledobyvayushchikh predpriyatiy [Psychological Factors of Experiencing Industrial Accidents by Coal Mining Enterprises Workers]. Vestnik KRUNTs, 2011, no 2(18), pp. 143–152.

7. Tsymbal A.V. Issledovanie rasprostranennosti proyavleniy psikhologicheskoy dezadaptatsii u shakhterov, perezhivshikh vital’nuyu ugrozu v avariynoy situatsii [A study of the Psychological Maladjustment Manifestation Prevalence in Miners Who Survived a Vital Threat in an Emergency Situation]. Psikhologiya. Psikhofiziologiya, 2012, no 19, pp. 115–118.

8. Voznesenskiy N.K., Paramonova S.V., Sedinin A.L. Psikhovegetativnyy status podzemnykh gornorabochikh [Underground Miners Psychovegetative Status]. Meditsina truda i promyshlennaya ekologiya, 2019. № 9. S. 589.

Artificial Intelligence Technologies: Means of Influencing the Mass Consciousness of People within the Framework of a New Social Reality

DOI: 10.33917/es-4.196.2024.46-53

The purpose of this article is to identify criteria for the influence of artificial intelligence technologies in payment systems on the consciousness of the population as their main user. When reviewing technologies, methods of scientific analysis were applied: the method of analysis and synthesis, abstraction, generalization, description, induction, deduction.

The article dwells on assessment of the implementation and impact of technologies based on artificial intelligence. It is shown that at the moment a situation has arisen where artificial intelligence tools have the opportunity to manipulate human consciousness. Accelerated development of human interaction in the virtual space resulted in both positive and negative consequences of the use of artificial intelligence technologies in payment systems within the framework of the new social reality. Based on the identified advantages and disadvantages, criteria for the impact of artificial intelligence technologies on the consciousness of the population were discovered and identified.

References:

1. Velichkovskiy B.B. Soznanie [Conscience]. Bol’shaya rossiyskaya entsiklopediya, available at: https://bigenc.ru/c/soznanie-f1153b

2. Tekhnologii iskusstvennogo intellekta i mashinnogo obucheniya [Artificial Intelligence and Machine Learning Technologies]. NIU VShE, 2021, 5 marta, available at: https://hsbi.hse.ru/articles/tekhnologii-iskusstvennogo-intellekta-i-mashinnogo-obucheniya/

3. 12 variantov ispol’zovaniya II i mashinnogo obucheniya v finansakh [12 Ways to Use AI and Machine Learning in Finance]. Generativnyy analiz dannykh, 2020, 10 aprelya, available at: https://zephyrnet.com/ru/12-use-cases-of-ai-and-machine-learning-in-finance/

4. Fedorov D. Chto takoe NLP? [What is NLP?]. Renovatsio, 2023, available at: https://renovatsio.rf/media/natural-language-processing

5. Vot polozhenie NLP v finansakh. Ty dolzhen znat’ [Here is the Position of NLP in Finance. You Should Know]. Shaip, 2023, 26 oktyabrya, available at: https://ru.shaip.com/in-the-media/here-are-the-applications-of-nlp-in-finance-you-need-to-know/

6. Perspektivy razvitiya chat-botov v bankovskom sektore: golosovoy II, prognozirovanie povedeniya, analiz nastroeniya [Prospects for the Development of Chatbots in the Banking Sector: Voice AI, Behavior Forecasting, Mood Analysis]. TalkBank, 2022, 21 yanvarya, available at: https://business.talkbank.io/tpost/ lp3s2ai1c1-perspektivi-razvitiya-chat-botov-v-banko

7. Vershinin O. Neyronnye seti: printsip raboty, perspektivy i 159 sovremennykh neyronok [Neural Networks: the Principle of Operation, Prospects and 159 Modern Neurons]. Neiros, 2023, 17 noyabrya, available at: https://neiros.ru/blog/automation/neyronnye-seti-printsip-raboty-perspektivy-i-159-sovremennykhneyronok/

8. Kak rabotayut neyronnye seti? [How do Neural Networks Work?]. Productstar, 2023, 16 marta, available at: https://blog.productstar.ru/kak-rabotayutnejronnye-seti/

9. Prediktivnaya analitika: instruktsiya po primeneniyu II pri prognozirovanii [Predictive Analytics: Instructions for using AI in Forecasting]. SBER Pro, 2023, 23 avgusta, available at: https://sber.pro/publication/prediktivnaya-analitika-instrukcziya-po-primeneniyu-ii-pri-prognozirovanii/