International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI for Inclusive Industrial Growth: Social Work Interventions for Improving Quality of Work Life among Mining Truck Drivers.

Author(s) Mr. Lingaraja M, Dr. Suma K G
Country India
Abstract The integration of Artificial Intelligence (AI) into India’s industrial ecosystem is reshaping work processes, safety systems, and labour relations. Yet, for marginalized groups such as mining truck drivers, the benefits of technological advancement remain largely unrealized. This review-based study examines how AI, when guided by social work principles, can enhance the Quality of Work Life (QWL) of mining truck drivers, who face chronic occupational stress, unsafe conditions, and social neglect. Drawing on secondary sources—including research articles, policy reports, and theoretical frameworks such as Walton’s QWL model, Sociotechnical Systems Theory (Emery & Trist, 1960), and Empowerment Theory (Perkins & Zimmerman, 1995)—the paper synthesizes evidence on work-related challenges, technological innovations, and welfare interventions in the mining and transport sectors.
Findings indicate that AI-enabled tools like fatigue detection, GPS-based monitoring, and predictive maintenance can significantly improve safety and operational efficiency. However, their effectiveness depends on ethical deployment, worker participation, and empowerment-oriented social work interventions. The study proposes a human-centered intervention model that combines digital literacy, participatory welfare programs, and policy advocacy to achieve inclusive industrial growth. By situating technology within a social justice framework, the paper argues that AI should function not as an instrument of control but as a catalyst for dignity, equity, and sustainable development in the journey toward Viksit Bharat @2047.
Keywords Artificial Intelligence; Quality of Work Life (QWL); Mining Truck Drivers; Social Work Intervention; Occupational Safety; Empowerment; Digital Inclusion; Ethical AI;
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-28
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.64586
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