Explainable and Trustworthy AI/ML-Based Systems for Industry 4.0 and Smart Manufacturing

Dear Colleagues,

The development towards the Industry 4.0 has a substantial influence on the manufacturing industry, allowing for the establishment of smart products and services, along with new and disruptive business models. Artificial Intelligance (AI) and Machine Learning (ML) are key enablers, being increasingly used by industries to build models for failure prediction (e.g., remaining useful life models), fault classification, or still for optimizing production and maintenance scheduling using Reinforcement Learning-like techniques. Although AI/ML techniques are promising, there are still research challenges to be addressed to make AI/ML-based systems (i) Explainable (XAI): need for creating suites of ML techniques that produce more explainable and interpretable models; and (ii) Trustworthy: need to design new approaches to robustify ML models against possible adversarial attacks and/or concept and data drift phenomena.

Overall, this Special Issue is addressed to all research studies dealing with Explainable and Trustworthy AI/ML-enabled systems for Industry 4.0 and Smart Manufacturing.

Prof. Dr. Yves Traon
Dr. Sylvain Kubler
Guest Editors

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