Artificial Intelligence

Governing and Funding Public AI: Standards, Oversight, and Sustainable Investment

Led by: Dustin Haisler & Mihir Kshirsagar

Building public AI requires more than good tools and infrastructure—it demands robust governance and sustainable investment. This closing session brings together the series’ themes to focus on how governments can set standards, design oversight, and fund shared AI capacity over time. Participants will explore options for algorithmic assessment and transparency, institutional arrangements for oversight, and funding models ranging from national research networks to cooperative public–private partnerships. The session concludes by helping participants identify concrete next steps they can take to advance public AI in their own organizations.

Understand key elements of governance for public AI, including standards, transparency, accountability mechanisms, and oversight structures.
Explore funding models and investment strategies that support open, shared, and sustainable AI infrastructure.
Develop a high-level roadmap or initial action steps for improving how their organization buys, builds, or governs AI.
Connect the dots across the series—from procurement and infrastructure design to governance and long-term capacity-building.