An Entwined AI Future: Resistance is Futile

Abstract

As the United States and China increase their geopolitical competition, there is growing controversy over how and how much key technological capabilities should be separated. In this debate, few technologies are as important, or as difficult to deal with, as artificial intelligence (AI). Today, AI knowledge, people, and commerce are continuously exchanged between the two powers, and the entire global population benefits from the advances that result. Trying to disconnect research and development efforts from China will not propel America forward or significantly delay China's progress but, rather, hold us both back. At the same time, we cannot ignore the fact that China will take advantage of our open culture to exploit US accomplishments. We need to insist that AI research at US universities protects sensitive work. But AI is not a thing that can be controlled. It is math. For the United States to be a leader in AI, we need to invest in its development through education and training of our population and in the robustness of our industry. By making investments, collaborating intelligently, and rapidly adopting AI-enabled capabilities, we will be better positioned to sustain our leadership in AI.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2020
Accession Number
AD1116882

Entities

People

  • Christine Fox

Organizations

  • Johns Hopkins University Applied Physics Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Counter WMD
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Civil Rights
  • Commerce
  • Computers
  • Data Sets
  • Emerging Technology
  • Export Controls
  • Foreign Relations
  • Governments
  • Human Rights
  • Law
  • Machine Learning
  • National Security
  • Physics Laboratories
  • Semiconductor Manufacturing
  • Standards
  • Students
  • Supply Chain
  • Test Methods
  • Training
  • United States
  • War Colleges

Readers

  • Distributed Systems and Data Platform Development
  • Educational Psychology
  • Systems Analysis and Design

Technology Areas

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