Socio-Spatial Studies

Socio-Spatial Studies

Artificial intelligence and disaster risk management: A need for continuous education

Document Type : Original Article

Authors
Seyedeh Hamideh Hosseini 1
Melika Khodabin 2
Atefeh Soroori Sarabi 3
Mohammad Sharif Sharifipour Bgheshmi 4
1 Master's degree in English Language Teaching (ELT), Khatam University, Tehran, Iran
2 BA in Journalism, Allameh Tabatabaei University, Tehran, Iran
3 Master's Degree in Earthquake Engineering, Istanbul Technical University, Istanbul, Turkey
4 Master's Degree in Civil Engineering - Structural Engineering, Islamic Azad University, Gheshm, Iran
10.22034/soc.2021.219422
Abstract
Artificial Intelligence has is a pivotal tool in enhancing crisis management during natural disasters such as earthquakes. This article examines the role of AI in generating real-time information, predicting stakeholder and population responses, and optimizing decision-making processes. A meta-analysis of existing literature highlights AI's potential to transform traditional crisis management approaches by enabling rapid assessment of disaster scenarios, efficient resource allocation, and communication strategies tailored to situational dynamics. However, the integration of AI in such critical domains requires not only technological advancement but also a paradigm shift in the skills and competencies of crisis management professionals. This paper argues for the necessity of continuous education for stakeholders, emphasizing training in AI tools and data literacy to ensure effective utilization of these technologies in high-stakes environments. Furthermore, it explores the ethical implications of AI use in crisis contexts, including issues of accountability, data privacy, and bias mitigation. To address these challenges through sustained education and interdisciplinary collaboration, stakeholders should harness AI’s full potential while minimizing risks.
Keywords
Artificial Intelligence
Crisis Management
Natural Disasters
Continuous Education
Earthquakes

 

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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC: https://creativecommons.org/licenses/by-nc/4.0/legalcode.en), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Socio-Spatial Studies
Volume 5, Issue 1
Winter 2021
Pages 13-29