Abstract
This article discusses the problem of integrating artificial intelligence technologies, social networks, disaster management, neural learning and smart disaster education. It consists of an automated learning environment that is based on an extension of the Real-Time Alert Model used for natural and anthropogenic disaster management that is integrating encapsulations from multiple sources and retrieve information by combining multiple search results. This experience forms a background for our automated learning environment and provides some good ideas for that.
Finally, we summarize the main features of this approach, provide some references to related work, and discuss some issues with artificial intelligence, social media and disaster management.
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Bouzidi, Z., Boudries, A., Amad, M. (2020). Towards a Smart Interface-Based Automated Learning Environment Through Social Media for Disaster Management and Smart Disaster Education. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1228. Springer, Cham. https://doi.org/10.1007/978-3-030-52249-0_31
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