Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Geospatial Damage Assessments (GDA) model



Geospatial Damage Assessments (GDA) model

The Geospatial Damage Assessments (GDA) model is an AI tool which was first deployed in 2022 as a response to natural disasters occurring in the United States. Hosted by the United States Federal Emergency Management Agency (FEMA) this tool uses Geospatial Information Systems (GIS)-based modeling aiming to develop the capability to fully understand the aftermath and extent of natural disasters. 

The GDA leverages aerial imagery, satellite data, and machine learning techniques to evaluate the damage in areas impacted by natural disasters. This tool greatly enhances the efficiency and precision of disaster response operations. This tool was used after Hurricane Ian, where the geospatial data was used to identify and categorise structural damage over one million structures.  The model aims at providing an overview of the impacts and damaged caused using data such as building characteristics, wind speeds and the path of the hurricane. For the case of Hurricane Ian, the GDA model was able to reduce the number of structures requiring human review from over one million to just 77 000. This type of tools provides initial situational awareness, expedited recovery planning and cuts assessment time of the aftermath significantly. 

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Tags:

  • image recognition
  • data
  • disaster management
  • geospatial information systems

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.