U.S. operators control 48% of non-U.S. data center projects by investment value, limiting digital sovereignty for host nations and offering the U.S. an additional governance tool for deployed AI infrastructure.
Compute South: The Uneven Possibilities of Compute -based AI Governance Around the Globe
3 Pith papers cite this work, alongside 24 external citations. Polarity classification is still indexing.
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Introduces the Feasible Sovereign Operating Region (FSOR) as a construct for workloads sustainable under physical and regulatory limits, along with a joint compute-network optimization framework that enforces sustainability as hard constraints.
Restricting open-weight AI models displaces risks and widens global divides, requiring hardware attestation and international safeguards to make openness safer instead of binary access controls.
citing papers explorer
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How Sovereign Is Sovereign Compute? A Review of 775 Non-U.S. Data Centers
U.S. operators control 48% of non-U.S. data center projects by investment value, limiting digital sovereignty for host nations and offering the U.S. an additional governance tool for deployed AI infrastructure.
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Sustainability-Constrained Workload Orchestration for Sovereign AI Infrastructure: A Joint Compute-Network Optimization Framework
Introduces the Feasible Sovereign Operating Region (FSOR) as a construct for workloads sustainable under physical and regulatory limits, along with a joint compute-network optimization framework that enforces sustainability as hard constraints.
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The Open-Weight Paradox: Why Restricting Access to AI Models May Undermine the Safety It Seeks to Protect
Restricting open-weight AI models displaces risks and widens global divides, requiring hardware attestation and international safeguards to make openness safer instead of binary access controls.