AI & Machine Learning in Defense Applications

A whitepaper from Sealevel Systems outlines the careful strategies of the U.S. DoD towards using AI technology and machine learning, including a shift to formalised processes Feature Article by Sealevel Systems
AI & Machine Learning in Defense Applications
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Sealevel Systems’ Drew Thompson has released a whitepaper discussing the careful and deliberate strategies that have been and are still being formed by the U.S. Department of Defense (DoD) towards incorporating artificial intelligence (AI) technology and machine learning.

The DoD, along with other U.S. entities, has used AI on an ad-hoc basis over the past 60 years. However, the launch of the “2018 DoD Artificial Intelligence Strategy” began a change to more formalized processes.

The whitepaper as a whole outlines:

2018 DoD Artificial Intelligence Strategy

  • Scaling AI’s Impact Across the DoD Through a Common Foundation That Enables Decentralized Development & Experimentation
  • Cultivating a Leading AI Workforce
  • Enganging with Commercial, Academic, and International Allies & Partners

2020 DoD Strategy

2023 DoD Data, Analytics, and AI Adoption Strategy

  • – AI Hierarchy of Needs
  • – Balancing Tradeoffs with Shared Services

The company states that the goal is to make the process as user-friendly as possible.

Chief Digital and AI Officer Craig Martell said; “I want to emphasize that this is not a capability development strategy. Technologies evolve, things are going to change next week, next year, and next decade, and what wins today might not win tomorrow.

“Rather than identify a handful of AI-enabled war fighting capabilities that will beat our adversaries, our strategies — strategy outlines the approach to strengthening the organizational environment within which our people can continuously deploy data analytics and AI capabilities for decision advantage.”

Read the whitepaper on the Sealevel Systems website.

Posted by Abi Wylie Connect & Contact