Artificial Intelligence (AI) transforms industrial system design, providing previously unheard-of chances to improve sustainability, efficiency, and safety in several industries. We seek a thorough compilation of state-of-the-art studies and perspectives on using AI in industrial systems design and their safety for this special issue. This issue aims to examine how AI technology can be used to optimize industrial processes, lower risks, and guarantee the safety of operations in intricate contexts.

AI's incorporation into industrial systems has created new opportunities for innovation, especially in system design, operation, and maintenance. AI-driven strategies are helping industries anticipate and prevent failures, optimize resource allocation, and enhance decision-making processes. Examples of these strategies include digital twins, machine learning, and predictive analytics. In addition to improving operational effectiveness, these technologies are essential in ensuring system safety and reducing the risks of unanticipated events, equipment failure, and human error.

This special issue will cover a wide range of topics related to AI in industrial system design and safety, including but not limited to:

• AI applications for risk assessment and management in industrial processes include decision support systems, real-time hazard identification, and risk assessment.
• Investigating AI approaches to optimize industrial system designs, such as supply networks, manufacturing processes, and energy systems.
• AI advancements in system monitoring, fault detection, and predictive maintenance aim to reduce downtime and avoid equipment failures.
• Humans and AI systems interact in industrial settings. Emphasis is placed on improving decision-making and human-machine interfaces to increase safety.
• AI applications to create and implement autonomous systems for industrial applications, like robotics and drones, and how they affect safety.
• The challenges of protecting AI-driven industrial systems from cyberattacks include AI-based threat identification and reaction techniques.
• Standards, regulations, and ethical ramifications for the safe application of AI in industrial systems.

This special issue will serve as a valuable resource for researchers, engineers, and practitioners interested in the intersection of AI and industrial system safety, providing insights into the latest developments and future directions in this rapidly evolving field.