ARTIFICIAL INTELLIGENCE (AI) STRATEGY AND DESIGN FOR MARINE CORPS INTELLIGENCE
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Authors
Rodney, Christopher A.
Akbarut, Yusef
Subjects
intelligence
automation
policy
artificial
machine learning
automation
policy
artificial
machine learning
Advisors
Boger, Dan C.
Miller, Scot A.
Date of Issue
2018-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Within the past 15 years, artificial intelligence (AI) has represented a rapidly expanding field that will intrinsically overhaul analytical processes. Historically human-centric processes and capabilities are quickly being overrun by expanding data collection, creating a gap that AI tools can fill. The use of AI applications that have benefited commercial industry provide similar opportunities to add value within the military domain. The Marine Corps is heavily invested in expanding its collection capabilities across the Marine Corps Intelligence, Surveillance, and Reconnaissance Enterprise (MCISRE). The MCISRE 2015–2020 plan directs a modernization of intelligence, surveillance, and reconnaissance assets across all intelligence disciplines. As collection capabilities expand, analytical tools that process and exploit information must evolve in a similar fashion. In order to expand its analytical abilities, Marine Corps intelligence must establish a strategy that identifies how to approach integrating AI capabilities. This thesis leverages current AI technological capabilities and proposes a strategy to integrate them across MCISRE. The strategy will provide a holistic outlook across the Doctrine, Organization, Training, Materiel, Leadership/Education, Policy, and Facilities (DOTMLPF) spectrum to provide recommendations for senior leadership on material and non-material solutions to support AI integration within MCISRE.
Type
Thesis
Description
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Department
Information Sciences (IS)
Information Sciences (IS)
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.