Federal statistical agencies are exploring AI — cautiously — as they confront declining response rates, rising costs and growing demand for timely, high-quality data.

Our new Federal News Network Executive Briefing captures a candid discussion among federal, academic and industry experts on where AI can deliver value and where risk, trust and transparency must come first.

You’ll hear from:

• Trent Buskirk — Old Dominion University’s School of Data Science
• Askari Rizvi — CDC’s National Center for Health Statistics
• Denice Ross — Federation of American Scientists
• Paul Schroeder — Council of Professional Associations on Federal Statistics
• Rob Chew and Jerry Timbrook — RTI International

Key takeaways include:

• How AI is already improving survey operations, from coding to anomaly detection
• Why human oversight remains essential in AI-driven workflows
• What it will take to maintain public trust in federal data systems
• How agencies can address privacy, transparency and equity concerns

AI has the potential to modernize statistical programs, but trust remains the foundation.

Download the briefing now to learn how federal leaders are balancing innovation with accountability.