Pentagon seeks $30 million for AI-powered 'Polygraph Next' lie detector

Program would pair machine-learning scoring with remote 'standoff sensing' to modernize federal credibility assessments

By LineZotpaper
Published
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The US Department of Defense is asking Congress for $30.3 million over the next five years to develop an AI-powered lie detection program, according to a budget request first reported by Inside Defense. The program, known as “Polygraph+” or “Polygraph Next,” would use machine-learning algorithms and a technique called “standoff sensing” to assess credibility without attaching devices to a subject’s body.

The funding request, which has not yet been approved by Congress, would support a program run by the Defense Counterintelligence and Security Agency (DCSA), the agency responsible for federal background checks. According to the budget document, the project will “modernize federal polygraph and credibility assessment technologies” to improve their accuracy and reliability, and the technology would be used for vetting prospective employees and for “insider threat detection.” The DCSA did not respond to a request for more information.

The proposal arrives as the Pentagon, under Defense Secretary Pete Hegseth, has increasingly turned to polygraph tests in its hunt for press leaks. The New York Times reported that around 50 officers on the Joint Staff were given polygraph tests after news coverage disclosed depleted US weapons stockpiles in the war with Iran.

The effort builds on earlier Pentagon work. In 2023, the Defense Innovation Unit (DIU) ran an open submission process to find deception-detection products and selected two companies to build prototypes: Presage Technologies, which says it can measure heart rate and breathing using standard cameras, and Altec Research, a medical sensor company now pursuing non-contact sensing. A screenshot of Altec’s prototype shows it tracks head movement, facial skin temperature, and pore activity. Neither company responded to requests for comment, and the DIU declined to comment.

The Pentagon’s ambitions have drawn skepticism. “It’s a misguided effort to reduce the complex to something that is tangible,” said Kyri Kotsoglou, a professor at Northumbria Law School in the UK who studies the use of polygraphs in the justice system. The new program is just the latest in a long line of failed attempts to use technology to detect lies, the budget documents suggest.

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Analysis

Why This Matters

  • The technology would be used in federal background checks and insider threat detection, putting job applicants and employees under new forms of automated physiological monitoring.
  • It represents a major bet on AI-assisted credibility assessment despite long-standing scientific doubts about whether any physiological measure can reliably detect deception.
  • Congress controls whether the program proceeds, making the budget a key decision point for how the federal government vets its workforce.

Background

Polygraph machines have been used by US agencies for decades, measuring physiological signals such as heart rate, breathing, and perspiration during questioning. The scientific community has long treated such measures as unreliable for distinguishing truth from deception, yet the government has repeatedly funded efforts to improve on them. The new proposal follows a 2023 Defense Innovation Unit solicitation that sought prototypes for deception detection, and comes amid an aggressive Pentagon push to identify the sources of media leaks, including the reported polygraphing of about 50 Joint Staff officers.

Key Perspectives

Pentagon and DCSA supporters: The budget request argues the program will modernize federal polygraph technology, improve accuracy and reliability, and help detect insider threats — a priority as leak investigations intensify. Technology companies: Presage Technologies and Altec Research were selected in 2023 to build prototype sensors that measure physiological signs remotely, from heart rate and breathing to head movement and pore activity, offering the prospect of evaluations without physical hookups. Critics and scientists: Kyri Kotsoglou calls the effort “a misguided effort to reduce the complex to something that is tangible.” Skeptics point to a long history of failed attempts to automate lie detection and warn that AI scoring could add a false sheen of objectivity to an inherently unreliable process.

What to Watch

  • Whether Congress approves the $30.3 million request and under what conditions.
  • Whether the DCSA moves to adopt the DIU prototype technologies from Presage or Altec for operational use.
  • The course of ongoing leak investigations and whether more Joint Staff officers are polygraphed, which could expand demand for the new system.

Sources

Zotpaper

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