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 »
Tag: artificial intelligence
The Open Cities AI Challenge
Segment buildings in African cities from aerial imagery and advance Responsible AI ideas for disaster risk management
Machine Learning for Disaster Risk Management
This guidance note explains how the World Bank Group uses machine learning algorithms to collect better data, make more informed decisions, and, ultimately, save lives.