The Current State of Artificial Intelligence in Disaster Recovery: Challenges, Opportunities, and Future Directions

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Description

This report explored the potential of artificial intelligence (AI) in disaster response and environmental remediation by providing a historical overview, conducting a meta-analysis of related literature, identifying natural language processing (NLP) and image analysis as key research areas, and presenting conceptual examples of AI's potential applications.

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ix, 37 p.

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Boe, Tiimothy & Sayles, Gregory August 2023.

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This report is part of the collection entitled: Artificial Intelligence (AI) Policy Collection and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Boe, Tiimothy U.S. EPA Office of Research and Development, Center for Environmental Solutions and Emergency Response, Homeland Security and Materials Management Division

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  • Sayles, Gregory Center for Environmental Solutions and Emergency Response

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Description

This report explored the potential of artificial intelligence (AI) in disaster response and environmental remediation by providing a historical overview, conducting a meta-analysis of related literature, identifying natural language processing (NLP) and image analysis as key research areas, and presenting conceptual examples of AI's potential applications.

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ix, 37 p.

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Artificial Intelligence (AI) Policy Collection

The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.

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  • August 2023

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  • March 6, 2024, 5:45 a.m.

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  • May 13, 2024, 3:18 p.m.

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Boe, Tiimothy & Sayles, Gregory. The Current State of Artificial Intelligence in Disaster Recovery: Challenges, Opportunities, and Future Directions, report, August 2023; (https://digital.library.unt.edu/ark:/67531/metadc2289513/: accessed June 28, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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