On Building and Funding Public AI, Governments Must Be Tactical, but Remain Flexible
Akash Kapur on how governments should approach building and funding public AI.
The Shangri La Series convenes practitioners, policymakers, technologists, and scholars from around the globe to chart a practical agenda for AI governance and deployment among middle powers. Through the series, participants are empowered to prepare their countries and communities to tackle the challenges of AI head on.
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Much of the global AI conversation has centered on “digital empires:” the United States, China, and the EU. While these actors are undeniably important, a majority of real-world AI use and experimentation is taking place outside of these superpowers. Middle-income countries—from India to Brazil and from Indonesia to Rwanda—are seeking their own pathways, as sites of innovation; experimentation, and cost effective, high-impact deployment. By bridging silos across these regions and different sectors, The Shangri La Series grounds global AI so that people, regardless of where they live, benefit from the technology.
Akash Kapur on how governments should approach building and funding public AI.
Vice President, Technology & Democracy, New America
Senior Policy Analyst, New America
Senior Fellow, Technology & Democracy, New America