Artificial Intelligence
The Public Option: Rethinking AI Infrastructure for the Common Good
Led by: Luca Cominassi & Ganesh Sitaraman
What would it look like to treat AI more like a public utility—essential infrastructure that is transparent, accountable, and designed to serve shared goals? This session examines the idea of a “public option” for AI, drawing parallels to other forms of public infrastructure (such as broadband, transit, or utilities). Participants will explore models for open and shared AI infrastructure, including open-source components, shared data resources, and public or cooperative investment, and consider how these can foster competition, reduce costs, and align innovation with public needs.
- Describe the concept of a “public option” for AI and how it relates to public infrastructure more broadly.
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Evaluate different models for shared AI infrastructure (open models, shared data resources, public platforms, cooperative arrangements).
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Understand how open and shared approaches can reduce costs, promote competition, and prevent over-dependence on a single vendor.
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Identify potential building blocks for a “public option” in their own context (e.g., shared components, data collaboratives, regional or state consortia).
This workshop is part of an InnovateUS Series called : Practical Strategies for Buying and Building Public AI
Click here to view all workshops from this series
Ganesh Sitaraman
New York Alumni Chancellor's Chair in Law & Director of the Vanderbilt Policy Accelerator
View bioModerated By
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