Bridging Artificial Intelligence and Geotechnical Engineering through Education: A Social Framework for Disaster Risk Awareness and Preparedness
DOI:
https://doi.org/10.53103/cjess.v6i1.443Keywords:
Artificial Intelligence, Geotechnical Engineering, Disaster Risk Awareness, Educational Framework, Societal ResilienceAbstract
This paper addresses the critical gap between advanced technical analysis in Geotechnical Engineering and Artificial Intelligence (AI) and the actual level of societal disaster risk awareness and preparedness. While AI and Machine Learning (ML) techniques offer unprecedented accuracy in modeling complex ground hazards such as liquefaction and landslides, the resulting technical knowledge often remains confined to expert circles. This confinement leads to significant communication failure, hindering effective public preparation. To bridge this divide, we propose a novel AI-supported geotechnical risk education framework. This conceptual framework leverages AI's high-fidelity simulation and scenario generation capabilities to power a Pedagogical Translation Layer that converts complex analytical data into accessible, visually rich, and action-oriented educational modules. The final stage incorporates Interactive Public Engagement via immersive technologies, such as virtual reality (VR), to facilitate behavioral change and concrete preparedness for ground hazards. We argue that the success of modern disaster risk reduction is contingent upon this integration of scientific data into targeted public education. The framework carries profound policy implications, contributing directly to increased public safety and fostering robust national resilience against geotechnical disasters.
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Copyright (c) 2026 Metehan Alp Memis, Şevval Ulus Memis
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