ARLINGTON, Virginia — Long before generative AI's boom, a Silicon Valley firm contracted to collect and analyze non-classified data on illicit Chinese fentanyl trafficking made a compelling case for its embrace by U.S. intelligence agencies.
U.S. intelligence agencies are scrambling to embrace the AI revolution, believing they’ll otherwise be smothered by exponential data growth as sensor-generated surveillance tech further blankets the planet. Mulchandani said it employs multiple AI models from various commercial providers he would not name. Nor would he say whether the CIA is using gen AI for anything major on classified networks.
During her tenure, the agency was already using regular AI — algorithms and natural-language processing — for translation and tasks including alerting analysts during off hours to potentially important developments. The AI wouldn’t be able to describe what happened — that would be classified — but could say “here’s something you need to come in and look at.”Its most potent intelligence use will be in predictive analysis, believes Rhombus Power’s CEO, Anshu Roy.
It's one reason the intelligence community is not in "move-fast-and-break-things” mode on gen AI adoption. “All of this comes in the context of repeated instances where the military and intelligence sectors have touted “miracle weapons” and revolutionary approaches -- from the electronic battlefield in Vietnam to the Star Wars program of the 1980s to the “revolution in military affairs in the 1990s and 2000s -- only to find them fall short,” he said.
Source: Tech Daily Report (techdailyreport.net)
Intelligence Agencies Nand Mulchandani Intelligence Generative AI AI Revolution
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