Artificial Intelligence and Occupational Hygiene Requirements in Automated Production
Keywords:
artificial intelligence, automated production, occupational hygiene, ergonomics, safety requirements, occupational health, risk factors in the production environmentAbstract
In modern industrial processes, the widespread application of artificial intelligence (AI) and automated technologies has shaped new occupational hygiene requirements in the workplace. In such conditions, safeguarding human health, increasing labor productivity, and preventing occupational diseases have become urgent issues. This article highlights the factors ensuring occupational hygiene in AI-driven production lines, adherence to ergonomic requirements, psychophysiological workloads in the labor process, and the improvement of safety standards. It also analyzes the hygienic risks arising in human–machine interaction and provides scientifically grounded recommendations to reduce them. The research results are of practical importance for improving the working environment in automated enterprises and creating healthy and safe working conditions.
References
1. Labor Code of the Republic of Uzbekistan. – Tashkent: Adolat, 2023. – 256 p.
2. President of the Republic of Uzbekistan. Resolution “On approval of the Digital Uzbekistan – 2030 Strategy.” PQ–4699, 28.04.2020.
3. President of the Republic of Uzbekistan. Decree “On the New Uzbekistan Development Strategy for 2022–2026.” PF–60, 28.01.2022.
4. International Labour Organization (ILO). Convention No. 155 “Occupational Safety and Health and the Working Environment.” Geneva: ILO, 1981.
5. Occupational Health in Robotics // Journal of Occupational Safety and Ergonomics. – Tokyo, 2021. – Vol. 47. – P. 115–128.
6. Ergonomics and Workplace Design: Modern Approaches. – Berlin: Springer, 2020. – 342 p.
7. European Labour Institute. Report “Automation of Production and New Challenges for Occupational Safety.” – Brussels, 2019. – 210 p.
8. Russian Academy of Sciences. Concept of “Digital Hygiene” in Automated Production. – Moscow: Nauka, 2022. – 175 p.
