Artificial Intelligence
What Is Public AI and Why It Matters
Led by: David Eaves & Joshua Tan
As artificial intelligence spreads more widely, there is concern over centralization and privatization in the ecosystem. Public AI emerges as a counter to this tendency–but what is public AI, and what does it look like in practice? Building on the procurement and market dynamics explored in Workshop 1, this session defines what “public AI” means and the arguments for how governments can take an active role in shaping it. Participants will explore the risks of outsourcing essential capabilities to private platforms, the opportunities of shared and open infrastructure, and the principles that distinguish public AI—transparency, accountability, interoperability—from purely commercial deployments.
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Define “public AI” and explain how it differs from purely private or vendor-driven AI solutions.
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Connect AI procurement choices to broader questions of democratic governance, public service delivery, and rights.
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Identify core principles for public AI (e.g., openness, interoperability, accountability, human oversight).
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Begin to map how public AI could apply in participants’ own agencies or jurisdictions.
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 seriesModerated By
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