Data, Analytics, and Artificial Intelligence Adoption Strategy: Accelerating Decision Advantage

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Description

This report discusses how the Department of Defense has been investing in artificial intelligence and responsibly fielding data- and AI-enabled systems for over 60 years, and it seeks to guide decentralized action across DoD, inspires campaigns of learning, and leverages all our people, processes, and enabling technologies.

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26 p.

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United States. Department of Defense. June 27, 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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Description

This report discusses how the Department of Defense has been investing in artificial intelligence and responsibly fielding data- and AI-enabled systems for over 60 years, and it seeks to guide decentralized action across DoD, inspires campaigns of learning, and leverages all our people, processes, and enabling technologies.

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26 p.

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  • Accession or Local Control No: gov.defense.media-dod-data-analytics-ai-adoption
  • Archival Resource Key: ark:/67531/metadc2289503

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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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  • June 27, 2023

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  • March 6, 2024, 5:42 a.m.

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  • May 10, 2024, 12:29 p.m.

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United States. Department of Defense. Data, Analytics, and Artificial Intelligence Adoption Strategy: Accelerating Decision Advantage, report, June 27, 2023; (https://digital.library.unt.edu/ark:/67531/metadc2289503/: accessed July 7, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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