CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT

Artificial Intelligence (AI) has the potential to play a significant role in disaster risk management – from predicting disasters to optimizing response efforts. However, its application in disaster management also presents significant challenges. These challenges include the need for high-quality a...

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Main Authors: D. Velev, P. Zlateva
Format: Article
Language:English
Published: Copernicus Publications 2023-04-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/387/2023/isprs-archives-XLVIII-M-1-2023-387-2023.pdf
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author D. Velev
P. Zlateva
P. Zlateva
author_facet D. Velev
P. Zlateva
P. Zlateva
author_sort D. Velev
collection DOAJ
description Artificial Intelligence (AI) has the potential to play a significant role in disaster risk management – from predicting disasters to optimizing response efforts. However, its application in disaster management also presents significant challenges. These challenges include the need for high-quality and diverse data, compatibility with existing systems and technologies, ethical and social implications, and ongoing research and development. In addition, data privacy and security is a critical issue as the use of AI in disaster management often involves the collection and analysis of sensitive information. Addressing these challenges is crucial to ensuring that AI is developed and used in ways that are fair, equitable, and effective in reducing the impact of disasters. The aim of the paper is to provide an analysis of challenges of artificial intelligence application for disaster risk management.
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spelling doaj.art-39329042dc5045c3b08299b4328687b12023-04-21T17:35:11ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-04-01XLVIII-M-1-202338739410.5194/isprs-archives-XLVIII-M-1-2023-387-2023CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENTD. Velev0P. Zlateva1P. Zlateva2University of National and World Economy, Sofia, BulgariaUniversity of National and World Economy, Sofia, BulgariaInstitute of Robotics, Bulgarian Academy of Sciences, Sofia, BulgariaArtificial Intelligence (AI) has the potential to play a significant role in disaster risk management – from predicting disasters to optimizing response efforts. However, its application in disaster management also presents significant challenges. These challenges include the need for high-quality and diverse data, compatibility with existing systems and technologies, ethical and social implications, and ongoing research and development. In addition, data privacy and security is a critical issue as the use of AI in disaster management often involves the collection and analysis of sensitive information. Addressing these challenges is crucial to ensuring that AI is developed and used in ways that are fair, equitable, and effective in reducing the impact of disasters. The aim of the paper is to provide an analysis of challenges of artificial intelligence application for disaster risk management.https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/387/2023/isprs-archives-XLVIII-M-1-2023-387-2023.pdf
spellingShingle D. Velev
P. Zlateva
P. Zlateva
CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
title_full CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
title_fullStr CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
title_full_unstemmed CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
title_short CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
title_sort challenges of artificial intelligence application for disaster risk management
url https://isprs-archives.copernicus.org/articles/XLVIII-M-1-2023/387/2023/isprs-archives-XLVIII-M-1-2023-387-2023.pdf
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