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Experts at House hearing urge faster AI adoption, procurement fixes and stronger cybersecurity safeguards

3682732 · June 5, 2025
AI-Generated Content: All content on this page was generated by AI to highlight key points from the meeting. For complete details and context, we recommend watching the full video. so we can fix them.

Summary

Industry and oversight experts told the House Oversight Committee that AI can boost federal productivity and fraud detection but warned that procurement barriers, legacy IT and lax data controls — including reports of private contractors accessing federal data — threaten security and effectiveness.

WASHINGTON — Witnesses at a House Oversight and Reform hearing on artificial intelligence on Wednesday urged lawmakers to accelerate government adoption of AI to boost productivity and detect fraud, while warning that procurement hurdles, outdated IT systems and weak data controls risk undermining those benefits.

Panelists included Yil Ili Barakhtari, president of the Special Competitive Studies Project; Bhavan Shah, founder and CEO of Moveworks; Linda Miller, founder of TriClad and former Pandemic Response Accountability Committee deputy executive director; Adam Thier, senior research fellow at R Street Institute; and Bruce Schneier, a cybersecurity expert at Harvard Kennedy School.

Why it matters: Witnesses told the committee that AI offers measurable benefits — from streamlining paperwork and freeing employee time to detecting improper payments more quickly — but that the federal government—s current acquisition rules, fragmented data and security lapses prevent agencies from realizing those gains. Several witnesses also raised national security and privacy concerns after recent reports that private contractors and contractors— affiliates accessed or processed large federal datasets.

What the witnesses said

- Yil Ili Barakhtari said the strategic competition…

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