The National Security Commission on Artificial Intelligence (NSCAI) was an independent commission of the United States of America established in 2018 to make recommendations to the President and Congress to "advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States".
It issued its final report in March 2021, saying that the U.S. is not sufficiently prepared to defend or compete against China in the AI era.
Members
Here is a list of members from the National Security Commission on Artificial Intelligence:
Eric Schmidt (Chair), former CEO of Google
Robert Work (Vice Chair), former Deputy Secretary of Defense
Mignon Clyburn, former Commissioner of the Federal Communications Commission
Chris Darby, CEO of In-Q-Tel
Jose-Marie Griffiths, President of Dakota State University
William Hurd, former U.S. Representative from Texas
Katharina McFarland, former Assistant Secretary of Defense for Acquisition
Jason Matheny, Director of the Center for Security and Emerging Technology at Georgetown University Ash Carter, former Secretary of Defense Gilman Louie, partner at Alsop Louie Partners Andy Jassy, CEO of Amazon Web Services (AWS) Safra Catz, CEO of Oracle Steve Chien, technical fellow at Jet Propulsion Laboratory (JPL) Adam Grant, organizational psychologist and professor at the Wharton School of the University of Pennsylvania Fei-Fei Li, professor of computer science at Stanford University Terah Lyons, founding executive director of the Partnership on AI Andrew Moore, dean of the School of Computer Science at Carnegie Mellon University William J. Perry, former Secretary of Defense Eric Rosenbach, co-director of the Belfer Center for Science and International Affairs at Harvard University Danny Toler, former CIO of the CIA
Recommendations
The report's recommendations include:
dramatically increasing non-defense federal spending on AI research and development, doubling every year from $2 billion in 2022, to $32 billion in 2026. That would bring it up to a level similar to spending on biomedical research creation of a Digital Corps to bring skilled tech workers into government founding of a Digital Service Academy: an accredited university providing subsidized education in exchange for a commitment to work for a time in government include civil rights and civil liberty reports for new AI systems or major updates to existing systems expanding allocations of employment-based green cards, and giving them to every AI PhD graduate from an accredited U.S. university reforming the acquisition management system Department of Defense to make it faster and easier to introduce new technologies.