Artificial Intelligence in Process Safety: Assistance Without Abdication
When Algorithms Advise and Humans Decide
AI is moving rapidly from novelty to part of process safety management infrastructure. In the energy and process industries, adoption is accelerating in areas such as predictive maintenance, anomaly detection, operator support, and document analysis. Many professionals therefore see AI as a way to make facilities safer and more reliable.
That promise deserves careful scrutiny.
Process safety management (PSM) is not solved by data alone. It is a socio-technical discipline built on hazard recognition, conservative design, human judgment, and organizational memory. AI can strengthen the discipline, but only if its limitations are understood and managed explicitly.
Ultimately, PSM is a governance and human-performance discipline. AI is a tool inside the discipline — it is not an external tool.
Where AI Can Add Real Value
AI is well suited to tasks that involve large volumes of data, pattern recognition, and weak-signal detection. In the context of process safety, several applications are genuinely valuable, especially when AI is used to inform people rather than replace them.
