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Artificial Intelligence Adoption by ...
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La Pierre, Martin E.
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Artificial Intelligence Adoption by United States Marine Air Ground Task Force: An Exploratory Case Study.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Artificial Intelligence Adoption by United States Marine Air Ground Task Force: An Exploratory Case Study./
作者:
La Pierre, Martin E.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
204 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
Military studies. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13895632
ISBN:
9781392265550
Artificial Intelligence Adoption by United States Marine Air Ground Task Force: An Exploratory Case Study.
La Pierre, Martin E.
Artificial Intelligence Adoption by United States Marine Air Ground Task Force: An Exploratory Case Study.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 204 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (DM/IST)--University of Phoenix, 2019.
This item must not be sold to any third party vendors.
Capabilities of artificial intelligence (AI) are growing at a rapid rate as are the calls for legislation to control it. The purpose of this qualitative exploratory case study was to explore senior Marine perspectives on doctrinal guidance contained in United States Marine Corps Doctrinal Publication (MCDP) 6, Command and Control concerning the challenges of acquiring AI and expert systems in the Marine Air Ground Task Force (MAGTF) that automate the Observe Orient Decide Act (OODA) Loop decision-making process. Data collection occurred through in-person interviews, fax communications, and reviews of the Tactical Unit Leader Cognitive Assistant (TULCA) and the Marine Exoskeletal Performance Augmentation Capability (MEPAC) Universal Need Statement (UNS) documents. Analysis of the data and subsequent coding was accomplished using NVivo 12® software. Sixteen themes emerged from the qualitative data analysis. Senior participants affirmed that introducing technology outside of doctrine at inappropriate levels of war could hamper the MAGTF's warfighting capabilities. As a group, participants agreed a more complete understanding of artificial intelligence, its capabilities, and how humans can be kept in the decision-making loop is necessary or the MAGTF might find itself limited by its own bias and legislation that puts the Force at a disadvantage to other, possibly adversarial, organizations.
ISBN: 9781392265550Subjects--Topical Terms:
2197382
Military studies.
Artificial Intelligence Adoption by United States Marine Air Ground Task Force: An Exploratory Case Study.
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Capabilities of artificial intelligence (AI) are growing at a rapid rate as are the calls for legislation to control it. The purpose of this qualitative exploratory case study was to explore senior Marine perspectives on doctrinal guidance contained in United States Marine Corps Doctrinal Publication (MCDP) 6, Command and Control concerning the challenges of acquiring AI and expert systems in the Marine Air Ground Task Force (MAGTF) that automate the Observe Orient Decide Act (OODA) Loop decision-making process. Data collection occurred through in-person interviews, fax communications, and reviews of the Tactical Unit Leader Cognitive Assistant (TULCA) and the Marine Exoskeletal Performance Augmentation Capability (MEPAC) Universal Need Statement (UNS) documents. Analysis of the data and subsequent coding was accomplished using NVivo 12® software. Sixteen themes emerged from the qualitative data analysis. Senior participants affirmed that introducing technology outside of doctrine at inappropriate levels of war could hamper the MAGTF's warfighting capabilities. As a group, participants agreed a more complete understanding of artificial intelligence, its capabilities, and how humans can be kept in the decision-making loop is necessary or the MAGTF might find itself limited by its own bias and legislation that puts the Force at a disadvantage to other, possibly adversarial, organizations.
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