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
CommentaryThe Militarization of Artificial Intelligence
Militaries are racing to adopt artificial intelligence (AI) with the aim of gaining military advantage over competitors. And yet, there is little understanding of AI’s long-te...
By Paul Scharre
CommentaryChina's post-Covid 19 'techno-nationalist' industrial policy
While Covid-19 brings China one step closer to technology-perfected authoritarianism through improvised health apps and real-time surveillance, Europe is busy looking inward. ...
By Rebecca Arcesati & Martijn Rasser
CommentaryConverging Chinese and Russian Disinformation Compounds Threat to Democracy
In recent weeks the Chinese Communist Party’s (CCP) propaganda and disinformation blitz around COVID-19 has drawn increasing attention, and with good reason. In addition to pr...
By Andrea Kendall-Taylor & David Shullman
CommentaryDigital Threats to Democracy: A Double-Edged Sentence
This ongoing series from Technology for Global Security (T4GS) and the Center for a New American Security (CNAS) examines the elements and potential implications of digital th...
By M. Nina Miller