Exploring the role of large language models in radiation emergency response.
J Radiol Prot
; 44(1)2024 Feb 15.
Article
em En
| MEDLINE
| ID: mdl-38324900
ABSTRACT
In recent times, the field of artificial intelligence (AI) has been transformed by the introduction of large language models (LLMs). These models, popularized by OpenAI's GPT-3, have demonstrated the emergent capabilities of AI in comprehending and producing text resembling human language, which has helped them transform several industries. But its role has yet to be explored in the nuclear industry, specifically in managing radiation emergencies. The present work explores LLMs' contextual awareness, natural language interaction, and their capacity to comprehend diverse queries in a radiation emergency response setting. In this study we identify different user types and their specific LLM use-cases in radiation emergencies. Their possible interactions with ChatGPT, a popular LLM, has also been simulated and preliminary results are presented. Drawing on the insights gained from this exercise and to address concerns of reliability and misinformation, this study advocates for expert guided and domain-specific LLMs trained on radiation safety protocols and historical data. This study aims to guide radiation emergency management practitioners and decision-makers in effectively incorporating LLMs into their decision support framework.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Emergências
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article