Why the DoD is Losing Its Asymmetric Robotics and Autonomous Systems Advantage: An Argument for the Concept of Autonomous Functioning Within a System

Abstract

As outlined in the National Security Strategy, National Defense Strategy and the "Third Offset Strategy", the Department of Defense (DoD) is attempting to rapidly develop, acquire, and field increasingly autonomous technology in order to gain an asymmetric advantage over peer competitors. Issues with policy, doctrine, leadership, and acquisition are preventing the DoD from achieving these goals. The DoD lacks a conceptual framework that describes the physical and cognitive ways that humans and machines interact. This has resulted in leadership focusing on retaining humans in essential roles rather than capitalizing on the abilities that human machine teams provide. The private sector is developing information technology at a rate that the DoD is unable to keep pace with. The result that the private sector is increasingly driving the DoD's requirements based on available Commercial technology. This results in a technology gap between the DoD's required capabilities and those that are readily available to all parties within the commercial sector. The author's hypothesis is that the DoD could rapidly develop, acquire, and integrate RAS to retain a competitive advantage by re-framing the way that they conceptualize and define AI and autonomy in the realms of policy, doctrine, leadership, and materiel.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2018
Accession Number
AD1088227

Entities

People

  • Ariel M. Schuetz

Organizations

  • United States Army Command and General Staff College

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Autonomous Weapons
  • Cognitive Systems Engineering
  • Computer Programming
  • Control Systems
  • Human Systems Integration
  • Human-Machine Interfaces
  • Human-Machine Systems
  • Human-Robot Interaction
  • Information Systems
  • Military Science
  • National Security
  • Swarming Technologies
  • United States Government
  • Unmanned Aerial Vehicles
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Government Contracting/Procurement.
  • Military History / Militaries and War Studies

Technology Areas

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