Oral
in
Workshop: 6th Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
Leveraging AI for Natural Disaster Management : Takeaways From The Moroccan Earthquake
Léna Néhale Ezzine · Yoshua Bengio · Ayoub Atanane · Ghait Boukachab · Oussama Boussif · · Yassine Yaakoubi · Loubna Benabbou · Léonard Boussioux · Peetak Mitra · Alexandre Jacquillat · Dick Den Hertog · Mehdi Bennis · Ilham EL BOULOUMI · Ayoub Loudyi · Aymane El Firdoussi · Achraf Sbai · SANAE ATTAK · Kaoutar Lakdim · Yassine Squalli Houssaini · Firdawse Guerbouzi · Chaimae Biyaye · Khadija Bayoud · Ikram Belmadani · Charles Bricout · Reyad OUAHI · Alex Maggioni · B.V. Alaka · Kiruthika Subramani · Tariq Daouda · Redouane Lguensat · Khaoula Chehbouni · Afaf Taik · Kanishk Jain · Hamza Ghernati · Lamia Salhi · Laila Salhi · Jules Lambert · Jeremy Pinto · Victor Schmidt · Zhor KHADIR · Nouamane Tazi · Yuyan Chen · Nikhil Reddy Pottanigari · Santhoshi Ravichandran · Ashwini Rajaram · Alex Hernandez-Garcia · Reda Snaiki · Laurent Barcelo · Salim Chemlal · Omar El Housni · AJ Dhimine · Abderrahim Khalifa ·
Abstract:
The devastating 6.8-magnitude earthquake in Al Haouz, Morocco in 2023 prompted critical reflections on global disaster management strategies, resulting in a post-disaster hackathon, using artificial intelligence (AI) to improve disaster preparedness, response, and recovery. This paper provides (i) a comprehensive literature review, (ii) an overview of winning projects, (iii) key insights and challenges, namely real-time open-source data, data scarcity, and interdisciplinary collaboration barriers, and (iv) a community-call for further action.
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