Artificial Intelligence and Automation Technologies: Transforming Industrial Processes in Industry 5.0
DOI:
https://doi.org/10.71146/kjmr1016Keywords:
Artificial Intelligence, Automation Technologies, Industry 5.0, Smart Manufacturing, Human-Machine CollaborationAbstract
The emergence of Industry 5.0 represents a significant transformation in industrial development by integrating advanced technologies with human creativity, decision-making, and collaboration. Unlike Industry 4.0, which primarily emphasized automation, connectivity, and efficiency, Industry 5.0 focuses on a human-centric approach where artificial intelligence (AI), automation technologies, and intelligent systems work together with human capabilities to achieve sustainable and resilient industrial processes. Artificial intelligence has become a fundamental driver of modern manufacturing by enabling predictive maintenance, intelligent robotics, real-time data analysis, autonomous decision-making, and process optimization. Automation technologies such as collaborative robots, industrial Internet of Things (IIoT), digital twins, and machine learning algorithms are reshaping production systems by improving productivity, reducing operational costs, and enhancing quality control. This article examines the transformative role of artificial intelligence and automation technologies in Industry 5.0, highlighting their applications, benefits, challenges, and future implications for industrial sustainability. The study explores how AI-driven systems enhance human-machine collaboration while supporting environmentally responsible and flexible manufacturing practices. Furthermore, the article discusses technological barriers, workforce adaptation requirements, cybersecurity concerns, and ethical considerations associated with intelligent industrial transformation. The findings indicate that successful implementation of AI and automation requires strategic integration of technology, skilled human resources, and organizational readiness to achieve sustainable industrial growth.
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Copyright (c) 2026 Muhammad Ahsan Raza (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
