  The rapid development of Large Language Models (LLMs) and Generative
Pre-Trained Transformers(GPTs) in the field of Generative Artificial
Intelligence (AI) can significantly impact task automation in themodern
economy. We anticipate that the PRA field will inevitably be affected by this
technology. Thus, themain goal of this paper is to engage the risk assessment
community into a discussion of benefits anddrawbacks of this technology for
PRA. We make a preliminary analysis of possible application of LLM
inProbabilistic Risk Assessment (PRA) modeling context referring to the ongoing
experience in softwareengineering field. We explore potential application
scenarios and the necessary conditions for controlledLLM usage in PRA modeling
(whether static or dynamic). Additionally, we consider the potential impact
ofthis technology on PRA modeling tools.
