Short Bio
Hervé Panetto is a Prof. of Enterprise Information Systems at University of Lorraine. He teaches Information Systems modelling and development at TELECOM Nancy and conducts research at CRAN (Research Centre for Automatic Control), Joint Research Unit with CNRS where he is managing a research project on the use of neuro-symbolic AI for formalising models related to the interoperability of cyber-physical-social systems.
He received his PhD in production engineering in 1991. He is working Systems interoperability, with applications in human-systems collaboration. He studying Hybrid Artificial Intelligence techniques to the cognitive interoperability of Cyber-Physical Systems and Human-centric systems, including cognitive systems and cognitive digital twins. He was visiting Professor in 2013-2015 in the frame of a Science Without Borders PVE project with PUC Parana, Brazil and visiting Professor in 2016 at the UTFPR, Curitiba, Brazil. He is editor or guest editor of books and special issues of international journals. He is author or co-author of more than 300 papers in the field of Automation Engineering, Enterprise Modelling and applied AI for Industry 5.0.
He received the IFAC France Award 2013, the INCOSE 2015 Outstanding Service Award and the IFAC 2017 Outstanding Service Award. In 2025, he received the NAAI Distinguished Artificial Intelligence Award.
Abstract
Industry 5.0 represents a new phase of industrialization where humans collaborate with technology and hybrid Cyber-Physical systems. Unlike Industry 4.0, which focused on IoT and automation, Industry 5.0 applies a human-centric lens to production, prioritizing worker wellbeing, sustainability, and human agency.
In this evolving landscape, Generative AI is reshaping business workflows. However, a critical perspective is vital: GenAI is not genuinely "intelligent." It relies on stochastic, probabilistic models predicting patterns from data. Lacking true reasoning and contextual understanding, GenAI poses risks like hallucinations and bias, making human oversight and domain expertise indispensable.
In Industry 5.0, human-centricity is non-negotiable, yet traditional architectures often neglect safety, trustworthiness, and explainability. Cyber-Physical systems must therefore evolve into Cyber-Physical-Cognitive and Social systems. By focusing on Hybrid AI—such as Active Learning, Forecasting, Symbolic AI, and Explainable AI—alongside simulated reality and human-in-the-loop validation, organizations can leverage statistical models without sacrificing accountability.
Ultimately, Industrial and Systems Engineering must foster safe synergies between humans and machines, ensuring human judgment remains firmly in control of an AI-augmented future.