


The Central Intelligence Agency's Open Source Enterprise division is reportedly developing a chatbot that will help the agency's analysts process publicly available data.
The tool is being developed as part of a broader effort by the U.S. government to take on China, according to Bloomberg.
"We've gone from newspapers and radio to newspapers and television, to newspapers and cable television, to basic internet, to big data, and it just keeps going," Randy Nixon, director of the Open Source Enterprise Division, said. "We have to find the needles in the needle field."
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The tool will help the agency process data faster while also allowing it to see the source of the data. The chatbot will focus on publicly and commercially available information.
The tool will help intelligence get distributed quicker, Nixon said. "Then you can take it to the next level and start chatting and asking questions of the machines to give you answers, also sourced," he notes. "Our collection can just continue to grow and grow with no limitations other than how much things cost." The agency did not establish what large language model will be used to power the new tool or what measures will be taken to protect the data's security.
"The scale of how much we collect and what we collect on has grown astronomically over the last 80-plus years, so much so that this could be daunting and at times unusable for our consumers," Nixon said. The new AI tool will allow analysts to adopt a process "where the machines are pushing you the right information, one where the machine can auto-summarize, group things together."
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The software will eventually be released to other U.S.-based intelligence agencies, including the National Security Agency, the FBI, and other military-led intelligence agencies.
China has incorporated AI into several surveillance systems, including those that track residents and individuals within its borders. It has also adopted software that uses AI to recognize the face and body posture of an American spy, according to the Japan Times.