A curated collection of research, papers, and published resources organized across 11 categories, 20 RBPS elements, and every major AI discipline.
As interest in artificial intelligence (AI) accelerates across safety-critical industries, organizations face a growing challenge: distinguishing meaningful, process safety–relevant applications from general-purpose automation and hype.
psm.ai addresses this gap by organizing research and insights across the elements of CCPS Risk-Based Process Safety (RBPS), providing a structured, vendor-neutral view of how AI is being applied—while progressively expanding coverage across all 20 RBPS elements as relevant research and practical applications emerge.
Explore how AI is being applied in process safety disciplines →
The Center for Chemical Process Safety has a searchable incident database called “Process Safety Incident Database” or “PSID”.
Here’s the link:
https://www.aiche.org/ccps/resources/psid-process-safety-incident-database (you need an account). To my knowledge this data has not be encoded into an AI model.
The Chinese government has made several hundred incident descriptions available to researchers. This week’s papers all use different AI approaches to encode and draw conclusions from the Chinese incident database.