AI APPLICATIONS IN DISASTER RISK MANAGEMENT: LESSONS FROM THE 2023 TURKIYE-SYRIA EARTHQUAKE

ASES III. INTERNATIONAL MIDDLE EAST SCIENTIFIC STUDIES CONGRESS, Ankara, Türkiye, 1 - 03 Ağustos 2025, cilt.1, sa.1, ss.1-13, (Tam Metin Bildiri)

This study examines the deployment and effectiveness of artificial intelligence (AI) technologies

during the February 2023 Turkiye-Syria earthquake sequence, one of the most devastating

seismic events in recent history. Through systematic analysis of documented AI

implementations, this research evaluates the practical applications, operational effectiveness, and

implementation challenges of computer vision, machine learning, and natural language

processing technologies in disaster response and recovery operations. The study analyzes data

from multiple sources including government agencies, international organizations, and

technology providers to assess AI's contribution to damage assessment, resource coordination,

and communication support. Findings reveal that while AI technologies demonstrated significant

potential in rapid damage assessment and multi-organizational coordination, implementation

faced substantial barriers related to technical integration, organizational adaptation, and

infrastructure constraints. The research contributes empirical evidence to the growing discourse

on AI's role in disaster management, providing actionable insights for practitioners,

policymakers, and researchers working to enhance disaster resilience through technological

innovation.