Mitigating Economic Impacts of the COVID-19 Pandemic and Preserving U.S. Strategic Competitiveness in Artificial Intelligence

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White paper authored by three members of the National Security Commission on Artificial Intelligence to address AI-related aspects of the COVID-19 pandemic response and the implications of the crisis for America's security and strategic competitiveness. It offers five themed recommendations to use AI to reopen, assess, preserve, screen, and return the U.S.'s economic and national security concerns during and after the pandemic.

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18 p.

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Darby, Chris; Louie, Gilman & Matheny, Jason May 19, 2020.

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This paper is part of the collection entitled: CyberCemetery Extracted Publications and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 99 times. More information about this paper can be viewed below.

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White paper authored by three members of the National Security Commission on Artificial Intelligence to address AI-related aspects of the COVID-19 pandemic response and the implications of the crisis for America's security and strategic competitiveness. It offers five themed recommendations to use AI to reopen, assess, preserve, screen, and return the U.S.'s economic and national security concerns during and after the pandemic.

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18 p.

Notes

Abstract: This paper offers several steps policymakers could take to utilize and protect U.S. capabilities in AI and associated technologies during the current crisis and beyond. AI presents opportunities to help safely reopen and grow the U.S. economic while minimizing the risk of future outbreaks of the virus, but the AI ecosystem itself is one of the most critical sectors in need of assistance and protection from foreign competitors as it weathers the brutal economic crisis. At the same time, policymakers must be circumspect about AI's ability to solve all of the problems created by the pandemic, especially in areas where there is not enough data to fuel machine learning applications.

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CyberCemetery Extracted Publications

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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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First Quarter Recommendations, March 2020, ark:/67531/metadc1851189

Privacy and Ethics Recommendations for Computing Applications Developed to Mitigate COVID-19 (Paper)

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Privacy and Ethics Recommendations for Computing Applications Developed to Mitigate COVID-19 - ark:/67531/metadc1851194

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  • May 19, 2020

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  • Oct. 11, 2021, 5:41 p.m.

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  • Feb. 23, 2024, 9:23 p.m.

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Thumbnail image of item number 1 in: 'Mitigating Economic Impacts of the COVID-19 Pandemic and Preserving U.S. Strategic Competitiveness in Artificial Intelligence'.
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Darby, Chris; Louie, Gilman & Matheny, Jason. Mitigating Economic Impacts of the COVID-19 Pandemic and Preserving U.S. Strategic Competitiveness in Artificial Intelligence, paper, May 19, 2020; United States. (https://digital.library.unt.edu/ark:/67531/metadc1851193/: accessed May 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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