The Role of Artificial Intelligence in Disaster Prediction, Mitigation, and Response in the Philippines: Challenges and Opportunities

  • Rommel Baltazar
  • Bacabac Florencio
  • Aguda Vicente
  • Phillip Belizario
DOI: https://doi.org/10.36079/lamintang.ijai-01101.675
Keywords: Artificial Intelligence, Disaster Risk Management, Prediction, Mitigation, Risk Assessment

Abstract

One of the most disaster-prone countries globally, experiences frequent natural calamities, including typhoons, earthquakes, and floods is the Philippines. This study explores the role of AI in enhancing disaster prediction, risk management, and mitigation in the Philippines. Using a qualitative research approach, semi-structured interviews were conducted between June 2023 and March 2024 with key stakeholders, including disaster management officials, meteorologists, and researchers. The findings highlight how AI technologies, particularly machine learning and neural networks, have significantly improved disaster forecasts by processing extensive datasets from meteorological, seismic, and geographical sources. AI-driven models are enhancing the accuracy of predictions for typhoons, earthquakes, and flood risks, contributing to more effective early warning systems and timely evacuation protocols. Despite these advancements, challenges remain, including limitations in infrastructure, budget constraints, and data quality, which hinder the full adoption of AI in disaster risk management (DRM). Nevertheless, the study identifies substantial opportunities for further development, emphasizing international collaboration and policy support to promote AI integration in DRM. The findings suggest that AI holds immense potential to revolutionize disaster response strategies in the Philippines, and further research is needed to address technical barriers and enhance AI’s role in building resilient communities.

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Author Biographies

Rommel Baltazar

Faculty of Computer Studies, University of Caloocan City. Caloocan City, Philippines.

Bacabac Florencio

Faculty of Computer Studies, University of Caloocan City. Caloocan City, Philippines.

Aguda Vicente

Faculty of Computer Studies, University of Caloocan City. Caloocan City, Philippines.

Phillip Belizario

Faculty of Computer Studies, University of Caloocan City. Caloocan City, Philippines.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
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2024-06-25
    Downloads : 108
How to Cite
[1]
R. Baltazar, B. Florencio, A. Vicente, and P. Belizario, “The Role of Artificial Intelligence in Disaster Prediction, Mitigation, and Response in the Philippines: Challenges and Opportunities”, International Journal of Artificial Intelligence, vol. 11, no. 1, pp. 37-51, Jun. 2024.
Issue
Vol 11 No 1: June 2024
Section
Articles

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