The Center for Data Innovation hosts the Ground Truth for AI Policy, a working group that keeps policy thinkers anchored to the technical realities of AI.
Born from our long-running AI Policy Network and now sharpened in scope, Ground Truth is for AI policy professionals who want to stay ahead of rapid shifts, deepen their technical fluency, and stress-test assumptions. Each monthly meeting brings in a front-line researcher or engineer to unpack a core concept before opening the floor for candid discussion. Amid rapid shifts in the field, each session resets the fundamentals, surfaces the latest developments, and sends participants out with sharper insight.
Sessions for 2025 so far include:
- Nathan Lambert, machine learning researcher at the Allen Institute for AI (Ai2), on open-source trends
- Konstantin Pilz, project specialist at RAND, on trends in AI supercomputers
- Alexander Feder Cooper, postdoctoral researcher at Microsoft, on the mechanics of how AI models extract copyrighted material
Participation is by invitation. To request a seat at an upcoming session, please fill in this application form.
