Navigating the intersection of management and AI: advancing occupational health and safety

• Autorzy: Sira Mariya

Identyfikatory

DOI

10.2478/czoto-2024-0002

• Języki publikacji: EN

Abstrakty

EN

This article provides an exploration of the intersection between management, artificial intelligence (AI), and occupational health and safety (OHS), delving into the evolution of safety systems and the integration of advanced technologies. To address the barriers to AI adoption in OHS and maximize the benefits of AI integration, the article proposes an AI Adoption Roadmap for OHS, delineating phases for assessment, planning, implementation, monitoring, continuous improvement, and the establishment of a data-driven safety culture. By embracing AI-driven solutions and fostering a culture of innovation and collaboration, organizations can proactively address safety challenges and cultivate safer, healthier work environments.

Słowa kluczowe

EN

occupational health and safety (OHS); OHS management; artificial intelligence (AI); roadmap

PL

bezpieczeństwo i higiena pracy (BHP); zarządzanie BHP; sztuczna inteligencja; AI; plan działania

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2024
• Tom: Vol. 6, iss. 1
• Strony: 9--15
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Sira Mariya

• Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, Poland
• Joint Doctoral School, Silesian University of Technology, Poland

• https://orcid.org/0000-0002-9970-1549

Bibliografia

• 1.Aldoseri, A., Khalifa, K. N. A., Hamouda, A. M., 2023. Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges. Applied Sciences, 13(12), 7082-7082. DOI:10.3390/app13127082
• 2.Ávila-Gutiérrez, M. J., Suarez-Fernandez de Miranda, S., Aguayo-González, F., 2022. Occupational Safety and Health 5.0-A Model for Multilevel Strategic Deployment Aligned with the Sustainable Development Goals of Agenda 2030. Sustainability, 14(11), 6741. DOI:10.3390/su14116741
• 3.Badhurunnisa, M., Dass, V., 2023. Challenges and opportunities involved in implementing AI in Workplace. International Journal for Multidisciplinary Research (IJFMR), 5(6). https://www.ijfmr.com/papers/2023/6/10001.pdf
• 4.Deloitte, 2018. State of AI in the Enterprise, 2nd Edition Early adopters combine bullish enthusiasm with strategic investments. https://www2.deloitte.com/content/dam/insights/us/articles/4780_State-of-AI-in-theenterprise/DI_State-of-AI-in-the-enterprise-2nd-ed.pdf
• 5.Deloitte, 2020. Thriving in the era of pervasive AI Deloitte’s State of AI in the Enterprise, 3rd Edition A report by the Deloitte AI Institute and the Deloitte Center for Technology, Media & Telecommunications. https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/aboutdeloitte/deloitte-cn-dtt-thriving-in-the-era-of-persuasive-ai-en-200819.pdf
• 6.European Agency for Safety and Health at Work (EU-OSHA), 2021. Policy brief impact of artificial intelligence on occupational safety and health 1 Artificial intelligence applications in the workplace. https://osha.europa.eu/sites/default/files/Policy-brief-Impact-AI-OSH_EN.pdf
• 7.Fisher, E., Flynn, M. A., Pratap, P., & Vietas, J. A., 2023. Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review. International Journal of Environmental Research and Public Health, 20(13), 6221-6221. DOI:10.3390/ijerph20136221
• 8.Fobel, P., Kuzior, A., 2019. The future (Industry 4.0) is closer than we think. Will it also be ethical? AIP Conference Proceedings, 2186, 080003. DOI:10.1063/1.5137987
• 9.Greeff, A. S., Van Staden, L. J., 2023. The relationship between participative management and safety culture: a case of the South African forestry industry. Polish Journal of Management Studies, 28(1), 123-138. https://doi.org/10.17512/pjms.2023.28.1.07
• 10.Hudáková, M., Masár, M., Vodák, J., Lahuta, P., Ciechomski, W., Gabryśová, M., 2021. Personnel risks and their impact on business in the V4 countries. Polish Journal of Management Studies, 23(1), 188-203. DOI:10.17512/pjms.2021.23.1.12
• 11.Klimecka-Tatar, D., Ulewicz, R., Ingaldi, M., 2023. Minimizing occupational risk by automation of the special processes - based on occupational risk assessment. Procedia Computer Science, 217, 1145-1152. https://doi.org/10.1016/j.procs.2022.12.313
• 12.Kuzior, A., 2022. Technological Unemployment in the Perspective of Industry 4.0 Development. Virtual Economics, 5(1), 7-23. DOI:10.34021/VE.2022.05.01(1)
• 13.Kuzior, A., Kettler, K., Rąb, Ł., 2021. Digitalization of Work and Human Resources Processes as a Way to Create a Sustainable and Ethical Organization. Energies, 15(1), 172. DOI:10.3390/en15010172
• 14.Kuzior, A., Kwilinski, A., 2022. Cognitive Technologies and Artificial Intelligence in Social Perception. Management Systems in Production Engineering, 30(2), 109-115. DOI:10.2478/mspe-2022-0014
• 15.Kuzior, A., Kwilinski, A., Tkachenko, V., 2019. Sustainable development of organizations based on the combinatorial model of artificial intelligence. Entrepreneurship and Sustainability Issues, 7(2), 1353-1376. DOI:10.9770/jesi.2019.7.2(39).
• 16.Kuzior, A., Yarovenko, H., Brożek, P., Sidelnyk, N., Boyko, A., Vasilyeva, T., 2023. Company Cybersecurity System: Assessment, Risks and Expectations. Production Engineering Archives, 29(4), 379-392. DOI:10.30657/pea.2023.29.43.
• 17.Mcelheran, K., Li, J., Brynjolfsson, E., Kroff, Z., 2021. AI Adoption in America: Who, What, and Where. https://mackinstitute.wharton.upenn.edu/wp-content/uploads/2022/03/McElheranKristina-et-al._AI-Adoption-in-America.pdf
• 18.Min, A., 2023. Artifical Intelligence and Bias: Challenges, Implications, and Remedies. Journal of Social Research, 2(11), 3808-3817. DOI:10.55324/josr.v2i11.1477
• 19.Moore, P., 2019. Artificial Intelligence: Occupational Safety and Health and the Future of Work Prepared for European Agency for Safety and Health at Work (EU-OSHA). https://www.stjornarradid.is/library/04- Raduneytin/ForsAetisraduneytid/Framtidarnefnd/AI_Occupational%20Safety%20and%20Heal th%20and%20the%20Future%20of%20Work.pdf
• 20.Reinhold, K., Järvis, M., Christenko, A., Jankauskaitė, V., Paliokaitė, A., Riedmann, A., 2022. Artificial intelligence for worker management: implications for occupational safety and health. European Agency for Safety and Health at Work. European Agency for Safety and Health at Work website: https://osha.europa.eu/sites/default/files/artificial-intelligence-workermanagement_en.pdf
• 21.Rogers, E. M., 2003. Diffusion of innovations (5th ed.). New York: Free Press. (Original work published 1962).
• 22.Setapa, M., Mamat, M., Bakar, H. A., Yusuf, S. N. S., Kazemian, S. 2020. Enterprise risk management: impact on performance of private higher educational institutions in Malaysia. Polish Journal of Management Studies, 22(1), 485-501, DOI:10.17512/pjms.2020.22.1.31
• 23.Suchacka, M., Pabian, A.M., Ulewicz, R. 2023. Industry 4.0 and socio-economic evolution, Polish Journal of Management Studies, 2023, 28(1), 311-329, DOI: 10.17512/pjms.2023.28.1.18
• 24.Shah, I. A., Mishra, S., 2024. Artificial Intelligence in advancing the Occupational Health and Safety: An encapsulation of developments. Journal of Occupational Health, 66(1). DOI:10.1093/joccuh/uiad017
• 25.Ślusarczyk B. and Wiśniewska J. 2024. Barriers and the potential for changes and benefits from the implementation of Industry 4.0 solutions in enterprises. Production Engineering Archives 30(2), 145-154. DOI: 10.30657/pea.2024.30.14
• 26.Vilcane, I., Koppel, T., Kalkis, H., Tsenter, O., Tint, P., 2019. The Role of Stakeholders in EOccupational Health and Safety System in Estonia. In R. Goonetilleke & W. Karwowski, (Eds.), AHFE 2019. Advances in Intelligent Systems and Computing (Vol. 967, pp. 22-33). Cham: Springer. DOI:10.1007/978-3-030-20142-5_3
• 27.Wendler, S., 2019. Abhishek Dasgupta AI Adoption Strategies AI Adoption Strategies. https://www.ctga.ox.ac.uk/files/aiadoptionstrategies-march2019pdf

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).