Develops open foundation models for semiconductors, maritime, materials, and geospatial science—plus libraries and benchmarks for robust, cross-domain AI research and applications.

Develops the tools and creates a catalog of datasets with clear licenses, explicit provenance, and governance for trustworthy AI model training and domain-specific applications. It aims to ensure datasets meet openness and trust standards for broad AI use.

Creates reusable techniques and examples for deterministic and generative AI evaluation, helping enterprises ensure deployed AI meets safety and requirements standards.

Designed for all AI builders, this initiative offers accessible trust and safety evaluation tools, making robust evaluations easy to find and implement for any AI application.

This companion project aggregates flexible, easy-to-use tools and packages for writing and executing AI evaluations, serving as a runtime stack for broader trust and safety initiatives.

US-centric efforts focus on shaping national AI policy, supporting regulatory frameworks for open and responsible AI, and promoting workforce and infrastructure initiatives that align with American priorities.

European efforts are centered on advancing open innovation, responsible AI adoption, and ensuring the region’s technological sovereignty through collaborative policy development and sector-specific initiatives.

Asia Pacific (APAC) regions focus on expanding open-source AI collaboration, fostering trusted AI development, and supporting capacity-building, research, and industry engagement tailored to the region’s unique needs.