VSI: Process Safety in the Era of AI: Opportunities and Challenges

https://www.sciencedirect.com/journal/journal-of-loss-prevention-in-the-process-industries 

Email: yzhu@263.net 

Prof. Jiansong Wu,

Full professor, School of Emergency Management and Safety Engineering,

China University of Mining and Technology, Beijing, China.

(Risk assessment, Safety engineering, Hybrid data-model approach, Safety digital twins)

Email: jiansongwu@hotmail.com 

Special issue information:

Topics of interest include, but are not limited to:

AI-enhanced hazard identification and safety risk assessment

AI for process monitoring and process safety operations

Leveraging digital twins for process safety

AI-based incident analysis

Fault diagnosis and preventive maintenance with advanced AI

Trustworthy and explainable AI for process safety

Safety and security assurance of intelligent process control systems

AI-aided emergency response in process industries

AI-assisted safety management systems

Human-AI collaboration risks in process safety regime

AI-driven surrogate modeling of toxic leaks, fires, explosions, etc.

Standards, regulations, and ethical considerations for the application of AI in process safety

Manuscript submission information:

Submission Deadline: 30/04/2026Editorial Submission Site: https://www.editorialmanager.com/JLP/default.aspx

You are invited to submit your manuscript at any time before the submission deadline. The journal’s submission platform (Editorial Manager®) is now available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of "VSI: Process Safety in the Era of AI" when submitting your manuscript online.

Both the Guide for Authors and the submission portal could be found on the Journal Homepage here: JLPPI | Journal of Loss Prevention in the Process Industries | ScienceDirect.com by Elsevier

All the submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Upon its editorial acceptance, your article will go into production immediately. It will be published in the latest regular issue, while be presented on the specific Special Issue webpage simultaneously. In regular issues, Special Issue articles will be clearly marked and branded.

Keywords:

Process safety, Artificial intelligence, Machine learning, Deep learning, Safety risk assessment, Intelligent industrial systems, Risk management, Trustworthy AI, Human-AI collaboration, Surrogate model, Digital twins, Emergency response​