Artificial Intelligence and Machine Learning in Occupational Safety and Health: A Review of Present Status, Opportunities and Challenges

Authors

  • Suhairi Ahmad Department of Mathematics, Science and Computer, Politeknik Tuanku Syed Sirajuddin, Arau, Perlis, Malaysia
  • Zahratul Laily Edaris Department of Mathematics, Science and Computer, Politeknik Tuanku Syed Sirajuddin, Arau, Perlis, Malaysia
  • Nur Intan Syazwani Jamaludin Department of Mathematics, Science and Computer, Politeknik Tuanku Syed Sirajuddin, Arau, Perlis, Malaysia

Keywords:

Artificial intelligence, machine learning & occupational safety and health

Abstract

This study aims to investigate the current state of the field of Artificial Intelligence (AI) and Machine Learning (ML) in Occupational Safety and Health (OSH) and to understand how AI and ML can be effectively used to improve workplace safety and health. The findings of this study support the potential of AI and ML in improving workplace safety and health, as well as identifying key challenges such as data privacy and security, ethical considerations, lack of standardization, and integration with existing systems. Overall, this study makes a significant contribution to the field of OSH by providing a comprehensive overview of the current state of the field and by highlighting the potential and challenges of AI and ML in enhancing workplace safety and health.

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Published

29-09-2023

How to Cite

Artificial Intelligence and Machine Learning in Occupational Safety and Health: A Review of Present Status, Opportunities and Challenges. (2023). Borneo Engineering & Advanced Multidisciplinary International Journal, 2(Special Issue (TECHON 2023), 17-22. https://beam.pmu.edu.my/index.php/beam/article/view/81

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