Human-Centric Digital Twins: Ethical and Transparent Applications for Industry 5.0

Abstract

Industry 5.0 aims at transforming the manufacturing that is pushed by automation to the notion of human-machines collaboration with emphasis on personalization, resilience, and sustainability. The article is an anthropocentric method of digital twins (DTs) and is concerned with ethics, transparency, and cognitive interoperability of industrial eco systems. The proposed architecture will be based on AI-based predictive modelling, blockchain-based data traceability with humanin-the-loop design to ensure explainable and trusted interactions between twins. The test simulations reveal that ethical digital twin systems result in the increase of operational transparency 47 more and employee satisfaction 35 more than in a conventional Industry 4.0 model. The study provides an ethical roadmap of the application of Industry 5.0 that will close the gap that exists between the human intuitions and machine intelligence.