A Literature Review on the Role of AI (Artificial Intelligence) in Industry 4.0 Transformation
Keywords:
Artificial Intelligence, Industry 4.0, Smart Manufacturing, Predictive Maintenance, Supply Chain Optimization, Ethics in AI, SMEs, Interdisciplinary ApproachesAbstract
The integration of Artificial Intelligence (AI) has become a fundamental aspect of the technological transformation associated with Industry 4.0. This study presents a systematic qualitative literature review aimed at exploring the multifaceted role of AI in modern industrial ecosystems. By analyzing 25 peer-reviewed articles published between 2019 and 2024, the research identifies key thematic areas in which AI contributes to the evolution of industrial processes, including smart manufacturing, predictive maintenance, supply chain optimization, advanced analytics, and human-machine collaboration. The findings demonstrate that AI significantly enhances operational efficiency, supports real-time decision-making, and enables adaptive production environments. However, several ethical, organizational, and technological challenges remain, particularly in relation to data privacy, workforce readiness, and equitable access to AI technologies across industrial sectors. The study emphasizes the need for context-aware, transparent, and ethically aligned AI systems, and recommends interdisciplinary approaches that integrate legal, educational, and policy perspectives. It also highlights the importance of supporting small and medium-sized enterprises (SMEs) through inclusive strategies and policy incentives. While this review offers a comprehensive overview of the current academic discourse, it is limited by its reliance on secondary sources and English-language publications. Future research should adopt empirical and mixed-method approaches to deepen the understanding of AI’s real-world applications in Industry 4.0.
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