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Policy & Regulation4 min read

Pentagon requests $30.3 million for AI‑enhanced polygraph program

The Department of Defense has asked for $30.3 million over the next five years to develop “Polygraph+” – an AI‑driven lie‑detection system that would use machine‑learning scoring algorithms and “standoff sensing” to take physiological readings without contact. The program, to be run by the Defense Counterintelligence and Security Agency, is intended for employee vetting and insider‑threat…

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Key points

  • DoD budget request seeks $30.3 million for a five‑year AI‑enhanced polygraph program.
  • Polygraph+ will be managed by the Defense Counterintelligence and Security Agency for vetting and insider‑threat detection.
  • Experts say AI cannot overcome the fundamental unreliability of polygraph technology.

Critics warn the effort repeats a long history of unreliable polygraph technology. Professors Kyri Kotsoglou and Sophie van der Zee note that even with AI, there is no solid ground‑truth for lying, and past attempts at non‑contact deception detection have failed. The Pentagon has recently increased polygraph use after reports that about 50 Joint Staff officers were tested following media coverage of depleted weapons stockpiles in the Iran war.

Full story from technologyreview.com · by Thomas Macaulay · via Search: ChatGPTOpen source ↗

The Download: the Pentagon’s AI-powered lie detector and young organ limits

technologyreview.com · 25 September 2026

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This text was published by technologyreview.com and written by Thomas Macaulay. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Presage TechnologiesAltec ResearchKyri KotsoglouPete HegsethSophie van der ZeeMarion Oswald

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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