Integrating AI into Civil Protection
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Author / Creator
Date
2020-04
Publication Type
Other Publication
ETH Bibliography
yes
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Abstract
Whether by predicting the global spread of the novel coronavirus originating from China or detecting wildfires in California, the use of artificial intelligence in civil protection promises to improve the prevention of, response to, and recovery from disasters. However, getting there requires rethinking data silos and assessing high-risk applications.
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Publication status
published
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Journal / series
Volume
260
Pages / Article No.
Publisher
Center for Security Studies (CSS), ETH Zürich
Event
Edition / version
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Date collected
Date created
Subject
Artificial Intelligence; Civil protection; Disaster management
Organisational unit
03515 - Wenger, Andreas / Wenger, Andreas
Notes
Also published in German and French.
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Is original form of: https://doi.org/10.3929/ethz-b-000408268
Is original form of: