Program
Who controls intelligence infrastructure, and how should societies govern it?
AI governance, token flows, AI-infrastructure dependence, open-source AI, data sovereignty, and Global South AI policy.
As public institutions, researchers, and businesses come to depend on AI systems they neither host nor control, the terms of that dependence — who owns the models, where inference runs, whose data trains them — become questions of sovereignty, not merely procurement. This program examines those dependencies and the policy choices they force, especially for Global South countries at risk of importing intelligence on terms set elsewhere. It asks what open, accountable, locally-governed AI infrastructure would actually require.
AI & Governance
A political-economy analysis of LLM token flow: dependence is concentrating in the flow layer — the gates every inference request must clear — not in who produces models.
Researchers, institutions, and funders who want to contribute to this program — through data, a partner challenge, or a collaboration — can reach the studio via the Get Involved page.
