Impact of Generative AI (Large Language Models) on the PRA model construction and maintenance, observations

TL;DR

This paper explores how Large Language Models and Generative AI can influence Probabilistic Risk Assessment (PRA) model development and maintenance, discussing potential benefits, challenges, and application scenarios based on software engineering insights.

Contribution

It provides a preliminary analysis of LLM applications in PRA, highlighting necessary conditions and potential impacts on PRA tools and processes.

Findings

LLMs could automate aspects of PRA model construction and updating.

Controlled usage conditions are essential for integrating LLMs into PRA.

Potential for improved efficiency and consistency in PRA modeling.

Abstract

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.