Artificial Intelligence
Foundation models, reasoning, agents, evaluation, interpretability, reliability, multimodal systems, and new architectures for machine intelligence.
Explore AI research ↗Research
Research for the next generation of intelligent systems.
Paris AI Organization studies the scientific, technical, and institutional questions that emerge as intelligence becomes more capable, more autonomous, and more deeply embedded in infrastructure.
Research mandate
Work across the boundaries where the future is being formed.
Our agenda connects artificial intelligence, advanced computing, robotics, and governance because progress in one domain increasingly changes the operating assumptions of the others. We focus on questions that remain important beyond a single model generation or product cycle.
Explore publications ↓
Research architecture
Four connected fields. One long-horizon agenda.
We organize research around the systems that create capability, the physical environments intelligence enters, and the governance mechanisms required to keep advanced systems accountable.
Quantum & Compute
Advanced silicon, quantum information, cryptographic transition, sovereign infrastructure, energy constraints, and post-classical computing.
Explore frontier technology ↗Robotics & Autonomy
Embodied intelligence, sensing, control, human–machine collaboration, distributed autonomy, and safety in physical environments.
Explore autonomous systems ↗AI Governance
Identity, delegated authority, assurance, evidence, runtime controls, policy, standards, accountability, and institutional oversight.
Explore AI governance ↗How we choose questions
Research where technical progress changes what institutions must be able to understand, verify, and control.
We prioritize questions with durable consequences: capability that outpaces existing evaluation, infrastructure that changes where intelligence can operate, autonomy that moves decisions into the physical world, and governance that must function at machine speed.
Our work distinguishes demonstrated capability from speculation, connects technical claims to evidence, and asks how research can remain useful as systems evolve.
Research library
Current publications.
Original research and institutional analysis from Paris AI Organization.
Artificial IntelligenceAI GovernanceQuantum & ComputeRoboticsEvaluation & AssuranceAgentic Systems
Quantum-Ready AI Infrastructure: Separate Migration from Convergence
A practical research note distinguishing immediate post-quantum cryptographic migration from the longer-horizon question of quantum and AI compute convergence.
Machine-Speed Governance: Continuous Controls for AI Systems
Why evidence, policy evaluation, monitoring, and control validation must become continuous as AI systems change faster than traditional review cycles.
Frontier Model Evaluation Beyond Benchmarks
A research framework for moving from static benchmark scores toward contextual reliability, failure discovery, operational stress, and evidence that survives deployment.
Sovereign Inference at the Edge: AI for Regulated Environments
Why inference location, data locality, hardware control, and disconnected operation are becoming governance decisions rather than only architecture choices.
Synthetic Data Assurance: Provenance, Privacy and Evaluation
A control model for deciding when generated data is fit for training, testing, simulation, analytics, and high-stakes evaluation.
Governing Delegated Authority in AI Agents
A governance architecture for identity, bounded authority, escalation, and accountability when autonomous software acts on behalf of people and institutions.