Page 63 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

incorporate predictive analytics, helping to anticipate future risks based on current trends and
historical data, making it a vital tool in long-term disaster resilience planning.

In essence, creating a digital twin with Geographic Information System software involves
leveraging its full suite of tools for mapping, simulation, and analysis, while continuously Part 2: Thematic AI
integrating real-time data to reflect the current state of the environment. This helps decision-
makers to use the digital twin to both prepare for and respond to disaster scenarios in a timely
and effective manner.

The continuous integration of real-time data ensures the digital twin remains updated and
relevant, making it a valuable tool for both immediate disaster response and long-term resilience
planning.

9�5 Conclusion

1) Human-centred AI solutions that address community needs, multilingual support, and
digital divides are essential to build resilience in vulnerable populations.
2) Standards are vital to interoperability, reliability in AI-driven disaster management systems,
enabling data integration, and coordinated responses globally.
3) ITU plays a key role in leading global standardization efforts for disaster response and
recovery, fostering meaningful partnerships including through the Global Initiative on
Resilience to Natural Hazards through AI Solutions to develop guidelines and frameworks
for the adoption of AI-centric disaster management solutions.
4) AI-powered monitoring systems, digital twins, and satellite data analytics can significantly
enhance disaster prediction, situational awareness, and crisis response.
5) Areas where standards are needed include interoperability protocols for multi-domain
data, unified communication standards for public warnings (e.g., CAP), and frameworks
to ensure responsible AI use.
6) Emerging areas for standards development:
– Digital twin, earth observation, and remote sensing technologies for reliable modelling
and disaster simulations.
– AI can play a critical role in combating slow-onset disasters like desertification and land
degradation.

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