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This monograph explores the emerging paradigm of collaboration between humans and intelligent systems in modern manufacturing. It examines the conceptual foundations of hybrid human-machine production, including shared autonomy, distributed decision-making, and the integration of artificial intelligence into industrial workflows. The book analyzes enabling technologies such as digital twins, collaborative robotics, advanced sensing architectures, and adaptive control systems. A dedicated section presents a patent-based case study of an AI-enhanced computer vision module for metal production quality control. The work provides a comprehensive framework for designing resilient, human-centric, and future-oriented manufacturing systems.