AI makes it “easier than ever” for adversaries to target U.S. military, experts say

CSET’s Sam Bresnick shared his expert insight in an article published by CBS News . The article examines how Iran and other U.S. adversaries are increasingly using artificial intelligence to support military, intelligence, cyber, and information operations. The new threat is just that it is now easier than ever before for adversaries to be able to understand what the U.S. military is doing. It is getting much harder for the U.S. military to cloak or to obscure its activities. CSET Research Fellow & Andrew W. Marshall Fellow, Sam Bresnick On the growing use of AI by U.S. adversaries, Bresnick said, “The new threat is just that it is now easier than ever before for adversaries to be able to understand what the U.S. military is doing. It is getting much harder for the U.S. military to cloak or to obscure its activities.” To read the full article, visit CBS News . The post AI makes it “easier than ever” for adversaries to target U.S. military, experts say appeared first on Center for Security and Emerging Technology .

AI increases vulnerability of U.S. military

A named national security expert asserts AI is eroding U.S. military operational secrecy, a specific and consequential claim, though the piece is short on data or examples, relying on a single quote without technical detail or metrics.

The article highlights that AI makes it significantly easier for adversaries to understand and potentially target U.S. military operations. This increased transparency for adversaries directly threatens national security and military effectiveness, leading to materially concerning implications for human flourishing.

AI is making it easier for adversaries to target the U.S. military. This implies a significant increase in risk to U.S. military operations and personnel.

SOURCE     CSET, Georgetown (tier 1)
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DOCUMENT   74ea41f1-6986-499a-8106-74aac778a451
           https://cset.georgetown.edu/article/ai-makes-it-easier-than-ever-for-adversaries-to-target-u-s-military-experts-say
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EVIDENCE   2 extracted excerpts
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MODEL RUN  4 runs, methodology 1.0.1
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SCORE      -69  (Strongly adverse)
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CONFIDENCE 76%