Machine learning (ML) can improve data applications in disaster risk management, especially when coupled with computer vision and geospatial technologies, by providing more accurate, faster, or lower-cost approaches to assessing risk. At the same time, we urgently need to develop a better understanding of the potential for negative or unintended consequences of their use. The… Read more »
Segment buildings in African cities from aerial imagery and advance Responsible AI ideas for disaster risk management
The white paper explores the many facets of OpenStreetMap (OSM) in development and the challenges of striving for “sustainability” in the wider mapping ecosystem – the paper also examines the factors that influence long term success of work involving OSM in a development context.