Artificial Intelligence and the First to Fight: The Implications of Artificial Intelligence for Forward-Deployed and Early-Deploying Forces in Contingency Operations

Abstract

Artificial intelligence has the potential to significantly affect the way civilian and military leaders make decisions in contingency situations. Artificial intelligence is machine intelligence, as opposed to natural, human intelligence. Machine learning drives artificial intelligence. Massive amounts of data enable machine learning. Computers sort through this data to solve problems and uncover trends and patterns. Artificial intelligence is already in use at the tactical level, in some automated weapons systems, in logistics systems, and for limited applications in targeting and intelligence. Several nations, to include the United States, are working on expanding the use of artificial intelligence partnered with human analysts, planners, and decisionmakers as part of a decision support process at the operational level of war. Artificial intelligence in support of operational decision making is the use of machine learning to expose key trends and patterns to guide decisions on when, where, and under what conditions to seek battle. The use of artificial intelligence as an operational-level decision support tool will change the way forward-deployed and early-deploying forces operate, shifting their focus to data collection while creating opportunities for surprise.

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Document Details

Document Type
Technical Report
Publication Date
Apr 09, 2018
Accession Number
AD1179022

Entities

People

  • Joshua E. Cavan

Organizations

  • Marine Corps University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Systems
  • Army Training
  • Artificial Intelligence
  • Autonomous Weapons
  • Command And Control
  • Computers
  • Control Systems
  • Data Analysis
  • Machine Learning
  • Marine Corps
  • Military History
  • Military Operations
  • National Security
  • Neural Networks
  • New York
  • Security
  • United States
  • Warfare

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Maritime Combat Support and Expeditionary Logistics.
  • Strategic Security Studies

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy