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Using Artificial Intelligence to Support Emergency Management Training - Creating Efficient and Realistic Scenarios with ChatGPT

Authors:
Lasse Berntzen
Jarle Løwe Sørensen
Marius Rohde Johannessen
Lauritz Rauer Nilsen
Lene Sandberg
Eric Carlström
Amir Khorram-Manesh

Keywords: intelligence; emergency management training; crisis management training; proof-of-concept; scenarios; ChatGPT.

Abstract:
The Erasmus+ project TeleTraining in Crisis Management is a collaborative initiative among the University of Gothenburg, the University of South-Eastern Norway, and the University College Copenhagen, aiming to enhance emergency management training through digital solutions. This paper explores the potential of Artificial Intelligence (AI) to improve training programs by generating realistic crisis scenarios and situational updates. Using a simulated emergency water landing of a passenger flight in international waters, the study demonstrates how AI-driven tools, such as ChatGPT, can create dynamic training environments for cross-border emergency response teams. The scenario emphasizes the need for standardized protocols, digital communication platforms, and AI-assisted decision-making in multinational crisis management. The paper further discusses the integration of AI within customized Learning Management Systems (LMS) to facilitate real-time exercises, improve coordination among emergency responders, and enhance crisis preparedness through adaptive and data-driven simulations.

Pages: 34 to 41

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-68558-251-7

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025