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 technology1. 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.

翻译：生成式人工智能领域中大语言模型（LLMs）与生成式预训练Transformer（GPTs）的快速发展，可能对现代经济中的任务自动化产生重大影响。我们预计概率风险评估（PRA）领域将不可避免地受到该技术的影响。因此，本文的主要目标是促使风险评估界就该项技术对PRA的利弊展开讨论。我们借鉴软件工程领域的现有经验，对LLM在概率风险评估（PRA）建模场景中的可能应用进行了初步分析。我们探讨了在PRA建模（无论是静态还是动态）中可控使用LLM的潜在应用场景与必要条件。此外，我们还考虑了该技术对PRA建模工具的潜在影响。