Responsible AI for disaster risk management
identify · AI-Machine Learning · Emerging technologies
As the Understanding Risk Community continues to explore the opportunities offered by artificial intelligence and related technologies and expand the range of applications for which they are used, we need to pay close attention to the risks that these tools create. Significant attention is currently being given by academics, journalists, and the public to questions of the ethics and bias of artificial intelligence systems across a variety of domains including facial recognition, automated weapons systems, search algorithms, and criminal justice. Despite significant potential for negative impacts of these tools in disaster risk management, our domain has not given these issues as much attention as other domains.
To help meet this need, GFDRR, Columbia University, and Deltares are proud to launch a new publication on Responsible AI for Disaster Risk Management. The publication provides concrete recommendations and, using case studies from DRM projects all over the world, illustrates both the potential and the risk of emerging uses of AI in our field. This session will continue the discussion by providing opportunity for participants to work together to evaluate risks of example projects, datasets, and algorithms.
Partner Organizations: Columbia University, Deltares