Intelligence & capability
Reasoning, multimodality, agents, evaluation, reliability, and the transition from isolated model outputs toward system-level intelligence.
Insights
Institutional analysis for the age of advanced intelligence.
Research-led analysis examining the technical, institutional, and governance shifts shaping advanced intelligence—before emerging capabilities become embedded infrastructure.
Featured analysis
Provenance Standards for AI-Generated Evaluation Evidence
A framework for distinguishing human, observed, simulated, and model-generated evidence as AI systems increasingly participate in their own evaluation and assurance processes.
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Analytical domains
Signals shaping the next generation of intelligent systems.
Paris AI insights connect fast-moving technical developments with the institutional questions of authority, infrastructure, assurance, resilience, and accountability that determine how advanced systems can be trusted.
Compute & infrastructure
Compute, energy, sovereign deployment, inference locality, specialized hardware, and the changing physical geography of intelligence.
Autonomy & robotics
Robotics, tool use, delegated action, human–machine coordination, and the operational consequences of increasingly autonomous systems.
Governance & assurance
Standards, accountability, identity, evidence, runtime controls, safety, and institutional frameworks for increasingly capable systems.
Published insights
Institutional perspectives on advanced intelligence.
Inference Locality as a Governance Control for Advanced AI Systems
Why the physical and jurisdictional location of AI inference is becoming a policy variable for data control, resilience, assurance, and institutional accountability.
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An institutional framework for limiting, renewing, and evidencing machine authority as autonomous AI systems gain access to consequential tools and workflows.
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