Partially autonomous and intelligent systems have been used in military
technology since at least the Second World War, but advances in machine
learning and Artificial Intelligence (AI) represent a turning point in the
use of automation in warfare. Though the United States military and
intelligence communities are planning for expanded use of AI across their
portfolios, many of the most transformative applications of AI have not yet
In this piece, we propose three goals for developing future policy on AI
and national security: preserving U.S. technological leadership, supporting
peaceful and commercial use, and mitigating catastrophic risk. By looking
at four prior cases of transformative military technology—nuclear,
aerospace, cyber, and biotech—we develop lessons learned and recommendations
for national security policy toward AI.
Read the full article at the Belfer Center
More from CNAS
CommentarySharper: The Authoritarianism Challenge
Autocratic leadership is on the rise globally. Even in democratic nations, leaders are eroding checks on their power and weakening institutions. The use of illiberal technolog...
By Anna Pederson
PodcastThe role of drones in Russia’s Ukraine invasion
Russia’s invasion of Ukraine is very visibly sending thousands of missiles and rounds of artillery at buildings, malls and homes across the democratic country. But not so visi...
By Samuel Bendett
CommentaryCan Ukraine’s Military Keep Winning?
Ukraine’s military has undergone a radical transformation over the past eight years, thanks to intensive reorganization and reform efforts and billions of dollars in Western s...
By Margarita "Rita" Konaev & Polina Beliakova
PodcastTwilight Struggle: Cold War Lessons for US-China Today
On the latest episode of Jordan Schneider's ChinaTalks, Hal Brands, professor at the Johns Hopkins University School of Advanced International Studies and the author of The Tw...
By Emily Jin & Jordan Schneider