AI and Autonomy

Abstract

The first annual report on artificial intelligence was released by the White House in February. This long-overdue document covers developments in the year since the American AI Initiative kicked off. The report said that American research and development investments in AI are measured not just by the specific dollar total of the financial investments, but also and perhaps more importantly in the quality and impact of those investments. These investments are now paying off in everyday lives, in applications from healthcare to financial services, from weather forecasting to transportation, and more. The report is a welcome call to action. The U.S. approach to applying AI needs to be full-spectrum at full speed. We must use all applicable AI technologies, including computer vision, natural language processing, deep learning, and reinforcement learning, and apply these to all critical areas of national security, logistics, transportation, public services, and healthcare. We must also invest in developing secure, high-capacity architectures to enable AI technologies. Only with this focus will we begin to quickly gain experience in AI R and D, and in deployment of associated applications at scale. And it is only then that the benefits that accrue from AI, both to citizens and warfighters, will become manifest in a significant way.

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Document Details

Document Type
Technical Report
Publication Date
Dec 07, 2020
Accession Number
AD1141621

Entities

People

  • C. A. Pfaff
  • Lisa Disbrow
  • Margarita Koneav
  • Mila Jasper
  • Patrick Granfield
  • Patrick Tucker
  • Robert O. Work

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Autonomous Systems
  • Autonomy
  • Combatant Commanders
  • Department Of Defense
  • Governments
  • Human-Machine Interfaces
  • Human-Machine Systems
  • Machine Learning
  • National Security
  • Natural Languages
  • Reinforcement Learning
  • Security
  • United States
  • Warfare

Readers

  • Artificial Intelligence
  • Defense Technology Research and Development.
  • Maritime Combat Support and Expeditionary Logistics.

Technology Areas

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