Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications

TL;DR

This paper proposes a comprehensive human-centric AI architecture for Industry 5.0 that integrates AI techniques, simulated reality, and user feedback, emphasizing safety, trustworthiness, and human-machine synergy, validated through real-world case studies.

Contribution

It introduces a novel architecture that incorporates AI, simulated reality, and user feedback aligned with industry standards for human-centric Industry 5.0 applications.

Findings

Validated on three real-world case studies

Demonstrates improved safety and trustworthiness

Enhances human-machine collaboration

Abstract

Human-centricity is the core value behind the evolution of manufacturing towards Industry 5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and human-centricity at its core. Therefore, we propose an architecture that integrates Artificial Intelligence (Active Learning, Forecasting, Explainable Artificial Intelligence), simulated reality, decision-making, and users' feedback, focusing on synergies between humans and machines. Furthermore, we align the proposed architecture with the Big Data Value Association Reference Architecture Model. Finally, we validate it on three use cases from real-world case studies.