JOSHUA HAECKER
The rapid development of generative AI and large language models (LLMs) has created an opportunity for the US intelligence community to break with its long-standing reluctance to use unclassified information — a reluctance that has until this point largely closed an entire avenue of intelligence and information-gathering and made the US and its allies much more vulnerable to strategic or tactical surprise.
But while adoption of AI models and LLMs by national security agencies could be technologically transformative, it must be done in the right way, without transferring longstanding biases treasuring classified information over unclassified information, or the opportunity to substantially improve America’s intelligence capability will be missed.
Government agencies have long monitored news reports and what is said online, starting with the Foreign Broadcast Information Service, but they have largely overlooked — or at best, siloed off — the huge store of publicly available information from other reputable sources. There is now a rich stream of such data. For instance, just days before Hamas’ surprise attack on Israel last October, there was an upsurge in visits to the Arabic-language web content about many of the locations subsequently targeted by Hamas. A properly trained AI model could have detected these and provided critical early warning.
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