In 2021, the Maryland Department of Health and the state police were confronting a crisis: Fatal drug overdoses in the state were at an all-time high, and authorities didn’t know why.
Seeking answers, Maryland officials turned to scientists at the National Institute of Standards and Technology, the national metrology institute for the United States, which defines and maintains standards of measurement essential to a wide range of industrial sectors and health and security applications.
There, a research chemist named Ed Sisco and his team had developed methods for detecting trace amounts of drugs, explosives, and other dangerous materials—techniques that could protect law enforcement officials and others who had to collect these samples. And a pilot uncovered new, critical information almost immediately. Read the full story.
—Adam Bluestein
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Phase two of military AI has arrived
—James O’Donnell
Last week, I spoke with two US Marines who spent much of last year deployed in the Pacific, conducting training exercises from South Korea to the Philippines. Both were responsible for analyzing surveillance to warn their superiors about possible threats to the unit. But this deployment was unique: For the first time, they were using generative AI to scour intelligence, through a chatbot interface similar to ChatGPT.
As I wrote in my new story, this experiment is the latest evidence of the Pentagon’s push to use generative AI—tools that can engage in humanlike conversation—throughout its ranks, for tasks including surveillance. This push raises alarms from some AI safety experts about whether large language models are fit to analyze subtle pieces of intelligence in situations with high geopolitical stakes.
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