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Tulsi Gabbard Admits She Used AI to Analyze JFK Files—And Choose What Remains Hidden

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Published On: June 11, 2025
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Tulsi Gabbard- JFK Files
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As technological advances are being made every day, even the federal government is not untouched by them. Aside from the regular use of AI to write reports and check grammar, which has become a norm almost everywhere, the White House has taken it a step further.

At a recent tech summit in Washington, D.C., Director of National Intelligence Tulsi Gabbard made an important statement. She revealed a groundbreaking shift in how the U.S. government processes sensitive archival materials.

Gabbard disclosed that agencies under the department took help of artificial intelligence (AI) to assist them in the rapid review and partial declassification of JFK documents. In March 2025, roughly 80,000 pages of documents related to the assassination of President John F. Kennedy were made public.

President Trump gave the agency only a few days time to complete the mammoth task of reviewing the documents. Traditionally, such document reviews rely heavily on human analysts.

These analysts would go through each page to identify potentially sensitive information.

However, Ms Gabbard stated that this time-consuming process was mostly done with the help of AI tools. She also stated that using these tools drastically decreased the time that is usually consumed with such tasks.

The AI system scanned and analyzed all the documents. It then flagged sections that may warrant redaction or classification based on patterns and content.

“We were able to do in weeks what used to take months,” Gabbard noted. “AI helped us speed up the vetting process without compromising security.”

The release of the JFK files in March 2025 came shortly after Donald Trump was sworn in for his second term. During his campaign, Trump made a promise to fully release all remaining documents related to the Kennedy assassination. He also accused the previous administration of concealing the truth.

This time around when Donald Trump took the office, he soon ordered the publication of tens of thousands of pages. However, public reactions have been mixed.

There were many who praised the apparent commitment to transparency and fulfillment of campaign promise. However there were those who questioned whether the sheer volume of the complex documents should be allowed for public viewing.

There were still redactions and vague passages that further raised the question of whether the total transparency was true. Critics have argued that AI-flagged redactions could have inadvertently hidden key information or released information that should have been redacted.

These reports leaked names of several spies. Their families found out about the status through these documents which shouldn’t have happened. These documents also contained the social security number of several people involved in the JFK case. So much so that even the social security number of Donald Trump’s formal lawyer was also leaked and he had threatened to take action.

Tulsi Gabbard outlined a broader ambition for AI across U.S. intelligence agencies. She announced the launch of a classified chatbot built for secure internal use. This would avoid instances such as when the chats on Signal between Pete Hegseth and other high ranking officials were leaked.

She also revealed plans for more private-sector collaborations to enhance intelligence capabilities.

Her overarching vision is to free up human analysts to focus on complex, high-priority intelligence tasks. She plans AI to handle labour-intensive and repetitive processes like document sorting, pattern recognition, and risk assessment.

“Analysts shouldn’t be buried under piles of paperwork. AI can handle that. Let’s put our people where they’re needed most,” Gabbard stated during her keynote.

Despite her enthusiasm, Gabbard’s strategy has sparked concern among critics. The main argument against AI is that it may be efficient, but it is still fallible. Many have warned of algorithmic bias, false positives, and the lack of transparency in how AI decisions are made.

Nonetheless, Gabbard remains firm in her belief that AI represents the future of intelligence. As the government ventures further into tech-driven analysis, her approach could redefine how secrets are managed and eventually revealed.

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Divya Verma

Divya is a content writer with six years of experience and a passion for writing about pop culture and politics. Being an avid reader, Divya enjoys reading anything and everything from fan-fiction, fantasy novels to political biographies. She also loves walking and hiking, and can be caught sneaking pop culture reference into her writing.

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