The Tech Policy Press Podcast

Following DOGE, US States Pursue 'Efficiency' Initiatives

13 snips
Sep 28, 2025
Maddy Dwyer, a policy analyst at the Center for Democracy & Technology, and Ben Green, an assistant professor at the University of Michigan, discuss state-level efficiency initiatives inspired by the federal DOGE. They dive into how AI is intended to identify inefficiencies but raise concerns about transparency, privacy, and potential misuse. Both emphasize the need for a problem-first approach and caution against using AI as an excuse for austerity. The conversation highlights red flags in AI implementation and the critical importance of guidelines.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
ADVICE

Follow Privacy And Security Laws First

  • Ensure compliance with privacy and cybersecurity laws before granting data access to efficiency initiatives.
  • States must follow state privacy protections to avoid lawsuits and preserve public trust.
INSIGHT

Security Lapses Amplified Data Risks

  • Lax security practices at DOGE led to multiple incidents exposing PII and violating policy.
  • Poor access controls and unencrypted sharing increased identity theft and fraud risk.
ADVICE

Do Not Weaponize Consolidated Government Data

  • Avoid repurposing government data for unrelated aims like immigration enforcement or surveillance.
  • Limit use to declared purposes and secure legal safeguards to maintain trust.
Get the Snipd Podcast app to discover more snips from this episode
Get the app