Published Paper Details:

The mining industry is undergoing a profound shift toward Mining 5.0, emphasizing human-centric design, sustainability, and intelligent collaboration between humans and autonomous systems. This paper proposes a socio-technical framework for human-centric AIoT (Artificial Intelligence of Things) adoption in emerging economies, with a focused case on Coal India Limited (CIL). Drawing on Industry 5.0 principles, the framework integrates collaborative robotics, digital twins, edge AI, and ethical governance to address the unique challenges of legacy infrastructure, skill gaps, regulatory complexities, and workforce transition in Indian coal mining. Through a systematic literature review and analysis of global and Indian case studies (Rio Tinto, BHP, CIL Digi-Coal), the study identifies critical barriers including cybersecurity risks, data privacy concerns, algorithmic bias, and potential job displacement. It advocates a balanced approach that prioritizes operator well-being, reskilling programs, and inclusive implementation pathways. The proposed framework outlines phased adoption strategies, performance metrics, and policy recommendations aligned with DGMS guidelines and Atmanirbhar Bharat initiatives. Findings highlight that successful Mining 5.0 transition requires harmonizing technological innovation with social and ethical considerations to achieve enhanced safety, productivity, and sustainability.