A Literature Review: The Influence Of Ai On Low Back Pain (Lbp) Among Women In Government Sector Offices

Low Back Pain (LBP) represents a rising public health issue that affects women in desk-bound government office work more frequently than other groups. Technological advancement in work practices leads to increased spinal strain, which speeds up disc deterioration and raises the risk of LBP, particularly among women aged 49–50 who face additional hormonal and anatomical challenges. This paper reviews how the implementation of Artificial Intelligence (AI) in public administration workflows creates conditions that lead to increased sedentary behaviors, which subsequently cause LBP in female office workers. The combination of extended static work at desks with AI technology adoption through automated scheduling systems, document processing software, and digital communication platforms results in reduced movement, task variety, and postural change for government employees. It applies Cumulative Load Theory to explore how AI-driven automation increases occupational and ergonomic risks, leading to musculoskeletal disorders through prolonged low-level biomechanical stress. The discussion demonstrates that AI will unintentionally perpetuate dangerous sedentary behaviors in public sector workplaces unless organizations implement proactive workplace redesign and health-informed policy changes. The review synthesizes 45 scholarly articles, emphasizing the importance of workplace ergonomic solutions that cater to gender differences, including adjustable furniture, task rotation, and AI-based wellness platforms. This review supports the emerging field of knowledge that promotes digital transformation strategies aligned with occupational health priorities in government institutions that employ a large number of female administrative staff.