This thesis investigates the implications of Artificial Intelligence (AI) on Occupational Health and Safety (OHS) practices, aiming to provide insights into the challenges, opportunities, and best practices associated with AI adoption in workplace safety management. Through a mixed-methods approach incorporating quantitative analysis, qualitative analysis, and literature review, the study explores the impact of AI technologies on hazard identification, risk assessment, incident prevention, and safety culture enhancement in various industries. Key themes include the effectiveness of AI-driven safety interventions, factors influencing AI acceptance among OHS professionals, ethical considerations, regulatory implications, and recommendations for responsible AI use in safety management. The findings contribute to advancements in OHS research, inform organizational practices, and guide future inquiries into the intersection of AI and workplace safety.
