The US National Security Commission issues its “Final Report on AI in Defense and Intelligence” — here are the takeaways

  • Oracle CEO Safra Catz,
  • Microsoft chief scientist Eric Horvitz
  • Google Cloud AI chief Andrew Moore
  • Andy Jassy, who takes over as CEO of Amazon later this year.
  • Automation of many tasks by the intelligence community by 2030.
  • The final report recommends hiring temporary or short-term tech talent and creating an accredited university to elevate government tech talent. Failure to do so is shortsighted and a national security risk.
  • Open-source software for federal government employees in the Pentagon, pointing out that TensorFlow and PyTorch as “must-have tools in any AI developer’s arsenal.”
  • In the next five years, private industry needs to invest in an organization with $1 billion in funding to launch efforts to address inequality.
  • Identify service members with computational thinking.
  • Allow for Director-level positions in each national security agency and the armed forces, charged with Responsible AI.
  • U.S. State Department needs to increase its presence in technology hubs worldwide.
  • Increase by a factor of three AI research institutes.
  • Set policy for the reporting of irresponsible AI deployments for agencies critical to national security.
  • Double AI research and development.
  • Immigration: commissioners add that doubling the number of employment-based green cards, creating visas for the makers of emerging and disruptive technology, for entrepreneurs, and giving green cards to every AI Ph.D. graduate from an accredited U.S. university. Referring to immigration as a “national security imperative,” these measures could impede China’s progress.

My take

It took me a while to realize that when they used the phrase “trustworthy AI,” they did not mean it in the sense of being fair or equitable. Instead, “trustworthy,” in the defense world, means AI that doesn’t rain down on you or turn around and blow you up.

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Neil Raden

Neil Raden

Consultant, Mathematician, Author; focused on iAnalytics Applied AI Ethics and Data Architecture