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AI and Disaster Risk: A Practitioner Perspective

Published: 11 November 2022 Publication History

Abstract

Emerging techniques developed by AI researchers promise to offer the capacity to support disaster risk management (DRM), through making data collection or analysis practices faster, less costly, or more accurate. However, in every socially consequential domain in which AI tools have been applied, these technologies have been demonstrated to have some degree of negative consequences. This paper explores an attempt to convene technical experts in the area of DRM to discuss potential negative impacts, their approaches toward mitigating these impacts as well as identifying some of the overarching challenges. In doing so, we contribute new findings about a domain that has received relatively little attention from critical and ethical AI researchers, and the opportunities and limitations that are presented by working with domain experts to evaluate the social consequences of emerging technologies.

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cover image Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction  Volume 6, Issue CSCW2
CSCW
November 2022
8205 pages
EISSN:2573-0142
DOI:10.1145/3571154
Issue’s Table of Contents
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Published: 11 November 2022
Published in PACMHCI Volume 6, Issue CSCW2

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  1. AI
  2. DRM
  3. crisis informatics
  4. disasters
  5. ethics

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  • (2024)Towards an open pipeline for the detection of Critical Infrastructure from satellite imagery – a case study on electrical substations in the NetherlandsEnvironmental Research: Infrastructure and Sustainability10.1088/2634-4505/ad63c9Online publication date: 16-Jul-2024
  • (2024)Tomorrow’s demons: a scoping review of the risks associated with emerging technologiesErgonomics10.1080/00140139.2024.2416554(1-17)Online publication date: 22-Oct-2024
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