Page 10 - Disaster Management: The Standards Perspective
P. 10

Executive Summary







                      The Report highlights the collaborative efforts of the International Telecommunication Union
                      (ITU), World Meteorological Organization (WMO), and United Nations Environment Programme
                      (UNEP) in advancing the use of Artificial Intelligence (AI) for natural hazard management through
                      the Focus Group on AI for Natural Disaster Management (FG-AI4NDM). This Focus Group
                      aims to strengthen global disaster resilience by establishing best practices and frameworks for
                      applying AI technologies to predict, respond to, and recover from natural hazards.

                      With the increasing frequency and severity of disasters, the integration of AI has become
                      essential tool across the disaster management cycle, from mitigation and preparedness to
                      response and recovery. AI can be leveraged to forecast disasters, assess risks, and optimize
                      resource allocation. However, challenges such as data privacy, algorithmic biases, and the need
                      for specialized expertise underscore the importance of international standards to ensure the
                      reliability, transparency and acceptability of AI systems.

                      FG-AI4NDM has made significant strides through its activities, including the development
                      of a glossary of over 500 terms to provide insights into disaster management terminology
                      and a Standards Roadmap to identify key gaps. The group has also produced three key
                      reports focusing on AI applications for data management, spatiotemporal modeling, and
                      communication systems. These reports provide best practices for managing data, modeling
                      disaster scenarios, and implementing AI-driven communication solutions. Additionally, FG-
                      AI4NDM has organized a series of meetings, workshops, and hackathons to foster collaboration
                      on the use of AI applications for disaster management, which have been crucial for refining
                      strategies and addressing challenges.

                      There continues to be the need for international cooperation and the development of standards
                      to enhance disaster preparedness and resilience to ensure improved data flow, coordination,
                      and integration of emerging technologies to mitigate the impact of disasters. To further build
                      on the outcomes of FG-AI4NDM and to drive further standardization, the Global Initiative on
                      Resilience to Natural Hazards through AI Solutions was announced during the AI for Good
                      Global Summit in 2024 in Geneva, Switzerland.

































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