From Hallucinations to HAZOP

When GenAI Becomes a Credible Process Safety Assistant

This video presentation examines whether frontier Generative AI models have become reliable enough for real process safety work. It begins by defining hallucinations as plausible but wrong outputs, emphasizing that such errors are especially dangerous in PSM because confident mistakes can drive unsafe decisions. The talk then explains three advances that improve reliability: chain-of-thought style reasoning, the use of external tools such as Python for deterministic calculations, and reinforcement learning from human feedback to favor more useful answers.
The core of the presentation is a benchmark study using four frontier models on two PSM tasks: RIK vs MOC and P&ID feature extraction.