Artificial Intelligence and its Role in Improving Communication Strategies during Crises (An Analytical Study of Global Models)

Abstract

This research reviews the role of artificial intelligence in improving communication strategies during crises through the analysis of various global models, where four main cases were analyzed: the oil spill crisis in the Gulf of Mexico in 2010, the Louisiana floods in 2016, the forest fires in Australia in 2019, and the COVID-19 pandemic in South Korea in 2020. The results showed that the use of artificial intelligence technologies, such as big data analysis, machine learning and deep learning, can enhance the accuracy and speed of crisis response, helping to direct rescue and relief teams more effectively and reduce human and material damage. Artificial intelligence has been employed to improve communication strategies by developing smartphone applications and social media platforms that provide personalized and real-time information to the population, which has contributed to reducing rumors and misinformation and enhancing trust between the public and the authorities. Despite the technical and logistical challenges associated with integrating and analyzing data from multiple sources and ensuring its accuracy, the cases studied demonstrated that investing in AI infrastructure can yield significant benefits in improving communication strategies and effective crisis management. This research enhances our understanding of the importance of collaboration between the public and private sectors to develop innovative and sustainable solutions based on artificial intelligence, which increases the preparedness of societies to confront future disasters more efficiently.