ALGORITHMS AGAINST THE FURY OF NATURE

The Role of Artificial Intelligence in Combating Natural Disasters

Abstract

This article aims to analyze the role of Artificial Intelligence (AI) in the prevention and mitigation of natural disasters such as landslides, earthquakes, and tsunamis. The increasing frequency and intensity of such events have driven the search for technological solutions that enable faster and more effective responses. The methodology adopted was a systematic literature review of recent national and international studies addressing practical applications of machine learning algorithms, neural networks, and predictive systems in environmental risk contexts. The results show that AI has proven to be a valuable ally in monitoring risk areas, forecasting events based on historical and real-time data, and supporting automated decision-making in emergency situations. Furthermore, although there are challenges related to data collection, system integration, and technological accessibility, current advances already allow the implementation of high-accuracy models with the potential to save lives. It is concluded that the use of Artificial Intelligence represents a significant evolution in natural risk management, contributing to the reduction of social, economic, and environmental impacts caused by disasters.