A project of the Cosmos Institute. Funded by a grant from the AI Safety Fund.

If you’d like to collaborate, we’re eager to work with labs, companies, standards bodies, and researchers who bring strong research taste + builder energy, openness to standards, and interest in rigorous evaluation.

collaborations@decentralized-ai.org

As a first step, we’re announcing 5 fully funded academic visitor slots at Oxford (4) and Stanford (1) for researchers working on agent security, distributed anomaly detection, and decentralized safety.
decentralized-ai.org#positions

Current research is focused on decentralized oversight of agent networks: trust protocols in agent networks/economies; global, federated anomaly detection; formalizing safety in agent networks; and human-friendly oversight tools for distributed AI.

Our work combines research + infrastructure: protocols and standards, distributed oversight systems, tooling and reference implementations, and field building for modern decentralized AI.

This approach is the fastest path to AI commons:
– unlocks collaboration without surrendering control
– reduces single-point failures & lock-in
– enables safer, auditable agent networks

By “decentralized AI” we mean AI where compute, data, governance, control, and outcomes are distributed across many parties. No single switch or owner: instead, systems that are composed, federated, and interoperable.