This book promotes a meaningful and appropriate dialogue and
cross-disciplinary partnerships on Artificial Intelligence (AI) in
governance and disaster management. The frequency and the cost of losses
and damages due to disasters are rising every year. From wildfires to
tsunamis, drought to hurricanes, floods to landslides combined with
chemical, nuclear and biological disasters of epidemic proportions has
increased human vulnerability and ecosystem sustainability. Life is not
as it used to be and governance to manage disasters cannot be a business
as usual. The quantum and proportion of responsibilities with the
emergency services has increased many times to strain them beyond their
human capacities. Its time that the struggling disaster management
services get supported and facilitated by new technology of combining
Artificial Intelligence (AI) and Machine Learning (ML) with Data
Analytics Technologies (DAT)to serve people and government in disaster
management.
AI and ML have advanced to a state where they could be utilized for many
operations in disaster risk reduction. Even though many disasters cannot
be prevented and a number of them are blind natural disasters yet
through an appropriate application of AI and ML quick predictions,
vulnerability identification and classification of relief and rescue
operations could be achieved.