INTELLIGENT LABOUR SAFETY MANAGEMENT SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE: PROSPECTS FOR INTEGRATION INTO UKRAINIAN LEGISLATION

Authors

  • O.V. Krainiuk Харківський національний автомобільно-дорожній університет
  • Yu.V. Buts Український державний університет залізничного транспорту
  • V.V. Barbashyn Харківський національний університет міського господарства ім. О.М. Бекетова
  • D.S. Kozodoi Український державний університет залізничного транспорту
  • О.D. Kozodoi Харківський національний університет радіоелектроніки

DOI:

https://doi.org/10.33042/2522-1809-2024-6-187-242-251

Keywords:

labour safety management, artificial intelligence, labour protection, legislation, innovative technologies, international experience

Abstract

Integrating artificial intelligence (AI) into occupational safety management systems is becoming increasingly
relevant in today's rapidly evolving technological landscape. This study focuses on implementing intelligent systems
for workplace safety in Ukraine, addressing the pressing need for national legislation to adapt to international
standards and incorporate modern technologies. The significance of this research lies in its potential to enhance
safety in work environments, ensuring the well-being of employees across various sectors.
The primary objective of this study is to analyze the current state of AI adoption in occupational safety in
Ukraine, identifying existing barriers and challenges enterprises face in the integration process. The research
investigates the extent to which Ukrainian legislation reflects contemporary technological changes, particularly in
AI, and how this compares to international practices. A comparative analysis reveals notable differences in the
approach to workplace safety between Ukraine and other countries, highlighting areas where Ukraine lags in
regulatory frameworks and technological implementation.
This study involved a comprehensive review of existing literature, legislative documents, and case studies from
industries where AI technologies have been successfully implemented. Key challenges identified include inadequate
infrastructure, a lack of qualified personnel, and an updated regulatory framework addressing AI's unique aspects
in occupational safety. The research emphasizes the importance of developing educational programs to enhance the
skills of workers and managers in this field.
The findings emphasize the necessity for a multi-faceted approach to overcome the identified obstacles.
Recommendations include the active modernization of legislation, establishing national safety standards aligned
with international requirements, and promoting collaboration with global organizations. By fostering a culture of
safety that embraces technological advancements, Ukraine can effectively harness the potential of AI to improve
workplace conditions. In conclusion, integrating AI into occupational safety management in Ukraine is both timely
and essential. With the proper steps and commitment from all stakeholders, significant improvements can be
achieved in workplace safety, reducing risks and enhancing productivity. This research contributes to the academic
discourse on occupational safety and AI. It is a guiding framework for policymakers and industry leaders to create
safer working environments.

Author Biographies

O.V. Krainiuk, Харківський національний автомобільно-дорожній університет

кандидат технічних наук, доцент

Yu.V. Buts, Український державний університет залізничного транспорту

доктор технічних наук, професор

V.V. Barbashyn, Харківський національний університет міського господарства ім. О.М. Бекетова

кандидат технічних наук, доцент

D.S. Kozodoi, Український державний університет залізничного транспорту

кандидат технічних наук

О.D. Kozodoi, Харківський національний університет радіоелектроніки

студентка

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Published

2024-12-17

How to Cite

Krainiuk, O., Buts, Y., Barbashyn, V., Kozodoi, D., & Kozodoi О. (2024). INTELLIGENT LABOUR SAFETY MANAGEMENT SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE: PROSPECTS FOR INTEGRATION INTO UKRAINIAN LEGISLATION. Municipal Economy of Cities, 6(187), 242–251. https://doi.org/10.33042/2522-1809-2024-6-187-242-251

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