DOD's ARTIFICIAL INTELLIGENCE: DoD's Struggle to Adopt and Integrate Machine Learning and Autonomy Technologies

Abstract

With Great Power Competition now coloring nearly all U.S. national security policymaking, Lee Sedol's defeat by AlphaGo, a machine learning algorithm, heightened the U.S.s urgency to adopt artificial intelligence (AI) and autonomy technologies for defense. However, the DoD's sluggish adoption of these disruptive technologies cannot be solved by policy pressure and funding alone. Instead, the DoD must accelerate efforts to encourage widespread AI literacy, challenge legacy acquisition practices ill-suited to support software development, and pursue safety policies emphasizing a system-based approach to accident prevention and hazard mitigation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 15, 2020
Accession Number
AD1124024

Entities

People

  • Matthew S. Caspers

Organizations

  • National Defense University

Tags

Communities of Interest

  • Autonomy
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agile Software Development
  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Autonomous Weapons
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Engineers
  • Information Systems
  • Jet Propulsion
  • Machine Learning
  • National Security
  • Network Science
  • Neural Networks
  • Software Development
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Neural Network Machine Learning.
  • Political Violence and Terrorism Studies.

Technology Areas

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