Fostering AI-Human Collaboration in Industry 5.0 Manufacturing

In the transition to Industry 5.0, the integration of artificial intelligence with human-centric principles emerges as a pivotal strategy to enhance manufacturing efficiency and safety while minimizing human errors. This paper explores the symbiotic relationship between AI and human workers, leveraging wearable technology and real-time data collaboration to foster a harmonious environment. By analyzing existing literature and employing a methodology rooted in Industry 5.0 values, this study investigates how AI-driven systems can mitigate human errors without displacing human involvement. Results show that the use of an AI-powered model, utilizing machine learning algorithms to detect anomalies and proactively address risks, is promising to augment operational efficiencies. Moreover, the study extends existing research by incorporating a novel approach that combines STPA-PSO modeling with machine learning, resulting in a dynamic system capable of continuous improvement. Discussion emphasizes the collaborative nature of AI, empowering human workers with intelligent tools while preserving creativity and enhancing working conditions. Ultimately, this research underscores the imperative for AI deployment to align with human-centric principles, fostering a synergistic relationship that propels manufacturing practices towards safer and more efficient outcomes in the Industry 5.0 era.