AI 2030 Labs & initiatives · Launched at AI 2030 Summit New York
Open Physical
Intelligence
Coalition
Building the infrastructure that lets the people, institutions and communities affected by Physical AI take part in how it is designed, tested, governed and deployed.
Why the coalition
Physical AI needs open, shared foundations.
Physical AI needs open, interoperable approaches so innovation stays safe, trusted and widely shared.
The coalition brings affected users, operators, communities, companies and independent experts into the full lifecycle of Physical AI, helping companies move from prototype to trusted adoption faster and with better evidence.
Five open principles
Open across the full lifecycle.
From the first design decision to learning after deployment, each principle gives the people affected by Physical AI a defined role.
Affected users, operators and communities shape needs and unacceptable failure modes before product decisions lock in.
Shared labs and realistic environments test systems with real people and real workflows.
Common methods, scenarios and reporting make safety and readiness evidence comparable.
Independent experts and affected communities hold defined roles in oversight and deployment decisions.
Feedback continues after deployment through re-testing and incident review.
How it works
Three ways the coalition works.
Convenings that bring companies, communities, researchers and policymakers together around Physical AI challenges.
Common commitments and methods for designing, testing and governing Physical AI responsibly.
Hands-on projects in shared labs and realistic environments that build comparable evidence.
Who joins
A coalition across sectors.
Building or deploying Physical AI and robotics systems.
Researching safe, trustworthy Physical AI.
Shaping methods, benchmarks and reporting.
Moving from prototype to trusted adoption.
Affected users and operators with a real voice.
Oversight, evaluation and governance roles.
Help build Physical AI with society, not simply for society.
Join companies, institutions, experts and communities shaping how Physical AI is designed, tested, governed and deployed.