Page 61 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

9�2 Global collaboration on standards for disaster management

The Global Initiative on Resilience to Natural Hazards through AI Solutions is exploring AI
use cases, providing expert guidance, and supporting research, innovation, and standards Part 2: Thematic AI
development amid increasing climate volatility and disaster risks worldwide such as seismic,
hydrometeorological, and other natural hazards,.

It also aims to create an AI readiness framework to assess and improve national capacities for
using AI in disaster management. Technical standards are key to ensuring AI is used safely,
responsibly and equitably in disaster management – a field where decisions must be made
quickly and carefully.

9�3 Use cases of AI for disaster management

Some examples of use cases being considered at the level of the Global Initiative on Resilience
to Natural Hazards through AI Solutions include:

• High-Performance Computing enhances crisis response by accelerating big-data
insights, detecting anomalies in satellite images, and generating regional crisis maps.
Tools such as the AI Digital Assistant ECHO are used to build holistic, AI-driven views to
support decision-making. AI4Space is used for automating Earth Observation (EO) data
processing, compressing hyperspectral data, and accelerating forecast simulations to aid
responders.
• A Multi-Domain Marketplace within the Europe Space Agency (ESA) Civil Security from
Space Hub, integrating SatCom, EO, Internet of Things (IoT), and AI to enable faster crisis
response. It showcased platforms like Unified Communication Services Manager (UCSM)
for SatCom booking, CGI Sense360 for EO services, and Public Sector Information (PSI)
standards to enhance interoperability. Collaboration is ongoing to build a next-generation
Smart Digital Marketplace for crisis management.
• The need for unified public warning systems and improved disaster communication using
geolocation, multimedia, and AI chatbots. Examples like I-REACT and SAFERS highlight
the role of human-centered AI in crisis management. It underscored the need for adopting
the Common Alerting Protocol standard (CAP, multi-channel communication, and user-
focused AI to build resilient communities.
• UPU has developed strategies for risk management and resilience in the postal sector
across its 192 member countries. It covered pre- and post-disaster measures, including
the Disaster Resilience Fund, Business Continuity Plans, and the Emergency and Solidarity
Fund. Key initiatives like the Unified Data Platform (UDP) and 2IPD were showcased to
enhance data-driven decision-making and operational continuity.
• Initiatives like the AI Climate Application Hub and AI for Climate Action Award under the
UNFCCC Technology Mechanism highlighted AI’s role in early warning systems, disaster
management, and climate forecasting, especially for developing countries. Risks such
as digital divides, data biases, and energy use were highlighted, with a call for inclusive
governance, better infrastructure, and global cooperation.
• Early Warning For All (EW4A) Unconnected Demo showcased how AI uses satellite
imagery and deep learning to create detailed population maps, identifying vulnerable
and unconnected communities. It highlighted the importance of accurate data for
humanitarian response, with examples from the Solomon Islands and flood monitoring in
Ethiopia. Demonstration also introduced the Precision Populations Early Access Program
and shared resources like historical flood datasets and predictive models.

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