How the US used AI to take on the Taliban amid drawdown

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Many have questioned the lessons learned from the 20-year war in Afghanistan following the chaotic withdrawal and subsequent Taliban takeover, but one major accomplishment from the U.S.’s time fighting the Taliban has emerged – the use of Artificial Intelligence to track terrorist attacks.

In 2019, U.S. and coalition forces began drawing down their troop presence across the country, which left remaining forces strapped when it came to their ability to maintain human intelligence networks used to monitor Taliban movements.

By the end of 2019, the number of Taliban attacks levied at U.S. and coalition forces spiked to levels not seen since the decade prior, prompting security forces in Afghanistan to develop an AI program known as "Raven Sentry."

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In a report released earlier this year, U.S. Amy Colonel Thomas Spahr, chair of the Department of Military Strategy, Planning, and Operations at the U.S. Army War College, quoted A.J.P. Taylor and said, "War has always been the mother of invention." Spahr pointed to the development of tanks during World War I, the atomic weapon in World War II and the use of AI to track Open-Source Intelligence as the U.S.’s longest lasting war began to wind down.

Raven Sentry looked to take the load off human analysts by sorting through vast amounts of data that drew from