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Review of Artificial Intelligence Technologies Used in the Field of Occupational Health and Safety

Yıl 2024, Cilt: 15 Sayı: 2, 20 - 33, 31.07.2024

Öz

The developing industry and increasingly complex production processes pose new risks in terms of occupational health and safety. Accordingly, it is seen that accidents can be prevented by using innovations brought by technology and performing more frequent inspections with more effective methods in order to detect and eliminate hazards. Considering that a large portion of accidents are caused by the human factor, occupational safety professionals who inspect the field and detect and eliminate hazards are also one of the human factors on the way to accidents. With artificial intelligence, it is seen that both the work that can be dangerous by employees is done with expert systems and field analysis, risk assessment and detection of hazards, work environment surveillance, root cause analysis, etc. are increasingly used in many areas depending on the data collected from the field. Thus, it is aimed to prevent accidents that may occur due to the human factor. In this study, artificial intelligence tools used in the field of occupational health and safety in the literature are examined. In the applications made, it is seen that it increases efficiency in work areas and practical solutions are obtained in a short time. However, it is also emphasized that the process should not be completely under the control of artificial intelligence in the problems that are desired to be solved. Considering the speed of artificial intelligence developments, it is thought that the number and quality of its applications in the field of occupational health and safety will increase day by day

Kaynakça

  • Alaeddinoğlu, M., Sincar, S. ve Naralan, A. (2015). İş Sağlığı ve Güvenliğinde Risk Analizi ve Değerlendirmesi İçin Geliştirilmiş Bir Karar Destek Sistemi (Yapay Sinir Ağı)-Atatürk Üniversitesi Örneği. nde Risk Analizi ve Değerlendirmesi İçin Geliştirilmiş Bir Karar Destek Sistemi (Yapay Sinir Ağı)-Atatürk Üniversitesi Örneği. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 30(2), 275, 290-291.
  • Alli, B. O. (2008). Fundamental Principles of Occupational Health and Safety. Geneva: ILO, s. 8. Badri, A., Boudreau-Trudel, B. ve Souissi, A. S. (2018). Occupational health and safety in the industry 4.0 era: A cause for major concern? Safety Science, 109(2), s. 403-411.
  • Bakkar, N., Kovalik, T., Lorenzini, I., Spangler, S., Lacoste, A., Sponaugle, K. ve Bowser, R. (2017). Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis. Acta Neuropathologica, 227-247.
  • Baron, P., Brazda, P., Dobransky, J. ve Kocisko, M. (2012). Expert System Approroach to Safety Management. In Risk Analysis VIII. WIT Press.
  • Cacicio, S. ve Riggs, R. (2023). Bridging resource gaps in adult education: The role of generative AI. Adult Literacy Education, 5(3), s. 80-86.
  • Che, C., Hu, H., Zhao, X., Li, S. ve Lin, Q. (2023). Advancing cancer document classification with random forest. Academic Journal of Science and Technology, 8(1), 278-280.
  • Comendador, B. E., Francisco, B. M., Medenilla, J. S., Nacion, S. M. ve Serac, T. B. (2015). Pharmabot: A pediatric generic medicine consultant chatbot. Journal of Automation and Control Engineering, 3(2), 137-140.
  • Diemert, S. ve Weber, J. H. (2023). Can Large Language Models assist in Hazard Analysis? Arxiv, s. 1-13. EU-OSHA. (2019, November 9). Retrieved April 3, 2024 from YouTube: Home: https://op.europa.eu/en/publication-detail/-/publication/fbab9f56-3035-11ea-af81-01aa75ed71a1
  • EU-OSHA. (2022, June 23). Artificial intelligence for worker management: an overview | Safety and health at work EU-OSHA. Retrieved March 29, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/artificial-intelligence-worker-management-overview
  • EU-OSHA. (2022a, June 23). Artificial intelligence for worker management: mapping definitions, uses and implications | Safety and health at work EU-OSHA. Retrieved March 29, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/artificial-intelligence-worker-management-mapping-definitions-uses-and-implications
  • EU-OSHA. (2022b, August 10). Artificial intelligence for worker management: implications for occupational safety and health | Safety and health at work EU-OSHA. Retrieved March 29, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/artificial-intelligence-worker-management-implications-occupational-safety-and-health
  • EU-OSHA. (2024, March 19). Worker management through AI - From technology development to the impacts on workers and their safety and health | Safety and health at work EU-OSHA. Retrieved March 27, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/worker-management-through-ai-technology-development-impacts-workers-and-their-safety-and-health
  • Ferrucci, D. L., Levas, A., Bagchi, S., Gondek, D. ve Mueller, E. T. (2013). Watson: Beyond Jeopardy! Artificial Intelligence, 93-105.
  • Fetzer, J. H. (1990). What is Artificial Intelligence? In Artificial Intelligence: Its Scope and Limits. Springer. From https://link.springer.com/chapter/10.1007/978-94-009-1900-6_1
  • Fisher, E., Flynn, M. A., Pratap, P. ve Vietas, J. A. (2023, 6 24). Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review. Int J Environ Res Public Health, 20(6221), 28. From https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340692/pdf/ijerph-20-06221.pdf
  • Flaherty, J. E. (2009). Toxicogenomics and workers' compensation: A reworking of the "bargain"? Journal of Health Care Law and Policy, 12(2), 267-294.
  • Greenhill, A. T. ve Edmunds, B. R. (2020). A primer of artificial intelligence in medicine. Techniques and Innovations in Gastrointestinal Endoscopy, 22(2), 85-89.
  • Gupta, I. ve Nagpal, G. (2020). Artificial Intelligence and Expert Systems. Mercury Learning & Information. Hamet, P. ve Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, s. 36-40.
  • Jarota, M. (2023). Artificial intelligence in the work process. A reflection on the proposed European Union regulations on artificial intelligence from an occupational health and safety perspective. Computer Law ve Security Review, 49.
  • Kaul, V., Enslin, S. ve Gross, S. A. (n.d.). History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 92(4), 807-812.
  • Kulikowski, C. A. (2019). An Opening Chapter of the First Generation of Artificial Intelligence in Medicine: The First Rutgers AIM Workshop, June 1975. IMIA and SchattauerGmbH, 227-233.
  • Laboratory of Computer Science. (2024). Dxplain. From https://www.mghlcs.org/projects/dxplain Leiker, D., Gyllen, A., Eldesouky, I. ve Cukurova, M. (2023, Haziran). Generative AI for learning: Investigating the potential of learning videos with synthetic virtual instructors. Artificial Intelligence in Education, 523-529. doi:https://doi.org/10.1007/978-3-031-36336-8_81
  • Longinos, M. ve Widlund, J. (2024, March 6). How AI can be used for OSHA regulations. Retrieved April 15, 2024 from Civils.ai: https://civils.ai/blog/ai-for-osha-regulations
  • McCarthy, J., Minsky, M. L., Rochester, N. ve Shannon, C. E. (1955, 08 31). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Magazine, 27(4), 12. From https://doi.org/10.1609/aimag.v27i4.1904
  • Ni, L., Lu, C. ve Liu, N. L. (2017). MANDY: Towards a Smart Primary Care Chatbot Application. International Symposium on Knowledge and Systems Sciences, 38-52.
  • Perrault, R. (2019). Artificial Intelligence Index Report. Stanford University. From https://hai.stanford.edu/sites/default/files/ai_index_2019_report.pdf
  • Pishgar, M., Issa, S. F., Sietsema, M., Pratap, P. ve Darabi, H. (2022, 6 22). REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health. International Journal of Environmental Research and Public Health, 18(6705), 42.
  • Policy Brief. (2021). Retrieved April 15, 2024 from EU-OSHA: https://osha.europa.eu/sites/default/files/Policy-brief-Impact-AI-OSH_EN.pdf
  • Quentic. (2023, August 7). Artificial intelligence in risk and safety management. Retrieved May 27, 2024 from Quentic: https://www.quentic.com/articles/ai-in-risk-and-safety-management/
  • Shortliffe, E. H., Davis, R., Axline, S. G., Buchanan, B. G., Green, C. ve Cohen, S. N. (1975). Computer-based consultations in clinical therapeutics: Explanation and rule acquisition capabilities of the MYCIN system. Computers and Biomedical Research, 8(4), 303-320.
  • T. C. Resmî Gazete. (2006, Mayıs 31). 5510 Sayılı Sosyal Sigortalar ve Genel Sağlık Sigortası Kanunu.
  • Taçgın, E. ve Sağır, Z. (2020). Development of an intelligent knowledge base for identification of accident causes based on Fu et al.'s model. International Journal of Occupational Safety and Ergonomics. From https://pubmed.ncbi.nlm.nih.gov/33034272/
  • Tempus Corporation. (2024). Tempus Technology. Tempus : https://www.tempus.com/about-us/tempus-tech/
  • TDK. (2024). Retrieved March 21, 2024 from Türk Dil Kurumu: http://www.tdk.gov.tr
  • Türk, M., Kendirlinan, Ş. E., Gölgeçen, D., Şak, D., Karapaça, G. U., Hasanlı, Y. S. ve Güngördü, N. (2023). Bir üniversite hastanesi meslek hastalıkları polikliniğinin altı yıllık deneyimi. Ege Tıp Dergisi, 62(2), 211-223.
  • UNESCO-UNEVOC. (2021). Understanding the impact of artificial intelligence on skills development. France-Germany: United Nations Educational, Scientific and Cultural Organization; International Centre for Technical and Vocational Education and Training.
  • Warrick, B. L. (2024, March 21). The Role of Artificial Intelligence in Occupational Safety and Health Practices (OSH). Retrieved April 15, 2024 from University of South Florida: https://www.usf.edu/health/public-health/news/2024/ai-in-osh-practices.aspx
  • WHO/ILO. (2021). Joint Estimates of the Work-related Burden of Disease and Injury, 2000–2016. WHO/ILO.

İş Sağlığı ve Güvenliği Alanında Kullanılan Yapay Zeka Teknolojilerine İlişkin İnceleme

Yıl 2024, Cilt: 15 Sayı: 2, 20 - 33, 31.07.2024

Öz

Gelişen endüstri ve giderek karmaşıklaşan üretim süreçleri iş sağlığı ve güvenliği açısından yeni riskleri ortaya çıkarmaktadır. Buna bağlı olarak tehlikelerin tespiti ve risklerin ortadan kaldırılması için çalışma sahasının teknolojinin getirdiği yeniliklerden faydalanıp daha etkin yöntemlerle daha sık denetiminin yapılarak kazaların önüne geçilebileceği görülmektedir. Kazaların büyük bir kısmının insan faktöründen kaynaklandığını göz önünde bulundurursak sahayı denetleyen ve tehlikeleri tespit ederek ortadan kaldıran iş güvenliği profesyonelleri de kazalara giden yoldaki insan faktöründen bir tanesidir. Yapay zeka ile hem çalışanlarca tehlikeli olabilecek işlerin uzman sistemlerle yapılması, hem de sahadan toplanan verilere bağlı olarak saha analizi, risklerin değerlendirilmesi ve tehlikelerin tespiti, çalışma ortamı gözetimi, kök neden analizi gibi uygulamalarının giderek daha çok alanda kullanıldığı görülmektedir. Böylece insan faktörüne bağlı oluşabilecek kazaların önüne geçilmesi hedeflenmektedir. Bu çalışmada, literatürde yer alan iş sağlığı ve güvenliği alanında kullanılan yapay zeka araçları incelenmiştir. Yapılan uygulamalarda, çalışma alanlarında verimliliği arttırdığı, kısa zamanlarda pratik çözümlerin elde edildiği görülmektedir. Ancak çözümlenmesi istenilen problemlerde sürecin, tamamen yapay zeka kontrolünde olmaması gerektiği de vurgulanmaktadır. Yapay zeka gelişmelerinin hızı dikkate alındığında, iş sağlığı ve güvenliği alanındaki uygulamalarının da gün geçtikçe sayı ve niteliklerinin artacağı düşünülmektedir.

Kaynakça

  • Alaeddinoğlu, M., Sincar, S. ve Naralan, A. (2015). İş Sağlığı ve Güvenliğinde Risk Analizi ve Değerlendirmesi İçin Geliştirilmiş Bir Karar Destek Sistemi (Yapay Sinir Ağı)-Atatürk Üniversitesi Örneği. nde Risk Analizi ve Değerlendirmesi İçin Geliştirilmiş Bir Karar Destek Sistemi (Yapay Sinir Ağı)-Atatürk Üniversitesi Örneği. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 30(2), 275, 290-291.
  • Alli, B. O. (2008). Fundamental Principles of Occupational Health and Safety. Geneva: ILO, s. 8. Badri, A., Boudreau-Trudel, B. ve Souissi, A. S. (2018). Occupational health and safety in the industry 4.0 era: A cause for major concern? Safety Science, 109(2), s. 403-411.
  • Bakkar, N., Kovalik, T., Lorenzini, I., Spangler, S., Lacoste, A., Sponaugle, K. ve Bowser, R. (2017). Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis. Acta Neuropathologica, 227-247.
  • Baron, P., Brazda, P., Dobransky, J. ve Kocisko, M. (2012). Expert System Approroach to Safety Management. In Risk Analysis VIII. WIT Press.
  • Cacicio, S. ve Riggs, R. (2023). Bridging resource gaps in adult education: The role of generative AI. Adult Literacy Education, 5(3), s. 80-86.
  • Che, C., Hu, H., Zhao, X., Li, S. ve Lin, Q. (2023). Advancing cancer document classification with random forest. Academic Journal of Science and Technology, 8(1), 278-280.
  • Comendador, B. E., Francisco, B. M., Medenilla, J. S., Nacion, S. M. ve Serac, T. B. (2015). Pharmabot: A pediatric generic medicine consultant chatbot. Journal of Automation and Control Engineering, 3(2), 137-140.
  • Diemert, S. ve Weber, J. H. (2023). Can Large Language Models assist in Hazard Analysis? Arxiv, s. 1-13. EU-OSHA. (2019, November 9). Retrieved April 3, 2024 from YouTube: Home: https://op.europa.eu/en/publication-detail/-/publication/fbab9f56-3035-11ea-af81-01aa75ed71a1
  • EU-OSHA. (2022, June 23). Artificial intelligence for worker management: an overview | Safety and health at work EU-OSHA. Retrieved March 29, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/artificial-intelligence-worker-management-overview
  • EU-OSHA. (2022a, June 23). Artificial intelligence for worker management: mapping definitions, uses and implications | Safety and health at work EU-OSHA. Retrieved March 29, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/artificial-intelligence-worker-management-mapping-definitions-uses-and-implications
  • EU-OSHA. (2022b, August 10). Artificial intelligence for worker management: implications for occupational safety and health | Safety and health at work EU-OSHA. Retrieved March 29, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/artificial-intelligence-worker-management-implications-occupational-safety-and-health
  • EU-OSHA. (2024, March 19). Worker management through AI - From technology development to the impacts on workers and their safety and health | Safety and health at work EU-OSHA. Retrieved March 27, 2024 from EU-OSHA: https://osha.europa.eu/en/publications/worker-management-through-ai-technology-development-impacts-workers-and-their-safety-and-health
  • Ferrucci, D. L., Levas, A., Bagchi, S., Gondek, D. ve Mueller, E. T. (2013). Watson: Beyond Jeopardy! Artificial Intelligence, 93-105.
  • Fetzer, J. H. (1990). What is Artificial Intelligence? In Artificial Intelligence: Its Scope and Limits. Springer. From https://link.springer.com/chapter/10.1007/978-94-009-1900-6_1
  • Fisher, E., Flynn, M. A., Pratap, P. ve Vietas, J. A. (2023, 6 24). Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review. Int J Environ Res Public Health, 20(6221), 28. From https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340692/pdf/ijerph-20-06221.pdf
  • Flaherty, J. E. (2009). Toxicogenomics and workers' compensation: A reworking of the "bargain"? Journal of Health Care Law and Policy, 12(2), 267-294.
  • Greenhill, A. T. ve Edmunds, B. R. (2020). A primer of artificial intelligence in medicine. Techniques and Innovations in Gastrointestinal Endoscopy, 22(2), 85-89.
  • Gupta, I. ve Nagpal, G. (2020). Artificial Intelligence and Expert Systems. Mercury Learning & Information. Hamet, P. ve Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, s. 36-40.
  • Jarota, M. (2023). Artificial intelligence in the work process. A reflection on the proposed European Union regulations on artificial intelligence from an occupational health and safety perspective. Computer Law ve Security Review, 49.
  • Kaul, V., Enslin, S. ve Gross, S. A. (n.d.). History of artificial intelligence in medicine. Gastrointestinal Endoscopy, 92(4), 807-812.
  • Kulikowski, C. A. (2019). An Opening Chapter of the First Generation of Artificial Intelligence in Medicine: The First Rutgers AIM Workshop, June 1975. IMIA and SchattauerGmbH, 227-233.
  • Laboratory of Computer Science. (2024). Dxplain. From https://www.mghlcs.org/projects/dxplain Leiker, D., Gyllen, A., Eldesouky, I. ve Cukurova, M. (2023, Haziran). Generative AI for learning: Investigating the potential of learning videos with synthetic virtual instructors. Artificial Intelligence in Education, 523-529. doi:https://doi.org/10.1007/978-3-031-36336-8_81
  • Longinos, M. ve Widlund, J. (2024, March 6). How AI can be used for OSHA regulations. Retrieved April 15, 2024 from Civils.ai: https://civils.ai/blog/ai-for-osha-regulations
  • McCarthy, J., Minsky, M. L., Rochester, N. ve Shannon, C. E. (1955, 08 31). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Magazine, 27(4), 12. From https://doi.org/10.1609/aimag.v27i4.1904
  • Ni, L., Lu, C. ve Liu, N. L. (2017). MANDY: Towards a Smart Primary Care Chatbot Application. International Symposium on Knowledge and Systems Sciences, 38-52.
  • Perrault, R. (2019). Artificial Intelligence Index Report. Stanford University. From https://hai.stanford.edu/sites/default/files/ai_index_2019_report.pdf
  • Pishgar, M., Issa, S. F., Sietsema, M., Pratap, P. ve Darabi, H. (2022, 6 22). REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health. International Journal of Environmental Research and Public Health, 18(6705), 42.
  • Policy Brief. (2021). Retrieved April 15, 2024 from EU-OSHA: https://osha.europa.eu/sites/default/files/Policy-brief-Impact-AI-OSH_EN.pdf
  • Quentic. (2023, August 7). Artificial intelligence in risk and safety management. Retrieved May 27, 2024 from Quentic: https://www.quentic.com/articles/ai-in-risk-and-safety-management/
  • Shortliffe, E. H., Davis, R., Axline, S. G., Buchanan, B. G., Green, C. ve Cohen, S. N. (1975). Computer-based consultations in clinical therapeutics: Explanation and rule acquisition capabilities of the MYCIN system. Computers and Biomedical Research, 8(4), 303-320.
  • T. C. Resmî Gazete. (2006, Mayıs 31). 5510 Sayılı Sosyal Sigortalar ve Genel Sağlık Sigortası Kanunu.
  • Taçgın, E. ve Sağır, Z. (2020). Development of an intelligent knowledge base for identification of accident causes based on Fu et al.'s model. International Journal of Occupational Safety and Ergonomics. From https://pubmed.ncbi.nlm.nih.gov/33034272/
  • Tempus Corporation. (2024). Tempus Technology. Tempus : https://www.tempus.com/about-us/tempus-tech/
  • TDK. (2024). Retrieved March 21, 2024 from Türk Dil Kurumu: http://www.tdk.gov.tr
  • Türk, M., Kendirlinan, Ş. E., Gölgeçen, D., Şak, D., Karapaça, G. U., Hasanlı, Y. S. ve Güngördü, N. (2023). Bir üniversite hastanesi meslek hastalıkları polikliniğinin altı yıllık deneyimi. Ege Tıp Dergisi, 62(2), 211-223.
  • UNESCO-UNEVOC. (2021). Understanding the impact of artificial intelligence on skills development. France-Germany: United Nations Educational, Scientific and Cultural Organization; International Centre for Technical and Vocational Education and Training.
  • Warrick, B. L. (2024, March 21). The Role of Artificial Intelligence in Occupational Safety and Health Practices (OSH). Retrieved April 15, 2024 from University of South Florida: https://www.usf.edu/health/public-health/news/2024/ai-in-osh-practices.aspx
  • WHO/ILO. (2021). Joint Estimates of the Work-related Burden of Disease and Injury, 2000–2016. WHO/ILO.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sosyal Politika (Diğer)
Bölüm Makaleler
Yazarlar

Burak Ayan 0009-0003-1852-3459

Serhat Taşçı 0009-0005-8594-9761

Enes Bin Malik Köksal 0009-0002-3232-2832

Yayımlanma Tarihi 31 Temmuz 2024
Gönderilme Tarihi 5 Haziran 2024
Kabul Tarihi 31 Temmuz 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 15 Sayı: 2

Kaynak Göster

APA Ayan, B., Taşçı, S., & Köksal, E. B. M. (2024). İş Sağlığı ve Güvenliği Alanında Kullanılan Yapay Zeka Teknolojilerine İlişkin İnceleme. Çalışma İlişkileri Dergisi, 15(2), 20-33.

Çalışma İlişkileri Dergisi, Ocak ve Temmuz aylarında olmak üzere yılda iki defa çıkarılan ulusal ve uluslararası hakemli bilimsel bir dergidir.