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NIST Awards $6 Million to Carnegie Mellon University to Establish an AI Cooperative Research Center

Hands draw on a transparent screen with circuits making the shape of a brain and "AI" written in the center.
Credit: everything possible/Shutterstock

GAITHERSBURG, Md. Today, U.S. Secretary of Commerce Gina Raimondo announced that the Department of Commerce’s National Institute of Standards and Technology (NIST) has awarded $6 million to Carnegie Mellon University (CMU) to establish a joint center to support cooperative research and experimentation for the test and evaluation of modern AI capabilities and tools. The center will be housed on the Carnegie Mellon campus, in Pittsburgh.

“Artificial intelligence is the defining technology of our generation, and at the Commerce Department we are committed to working with America’s world-class higher education institutions, like Carnegie Mellon University, to advance safe, secure and trustworthy development of AI,” Raimondo said. “I am excited to announce this NIST award of $6 million for Carnegie Mellon to boost research of AI systems and support a new generation of scientists and engineers that will help advance American innovation globally.”

The CMU/NIST AI Measurement Science & Engineering Cooperative Research Center will seek to advance AI risk management practices and evaluation approaches through stakeholder partnerships and translate assessment capabilities and methodologies into practice. 

“This new cooperative research center will expand NIST’s knowledge base and fundamental research capacity in AI,” said Under Secretary of Commerce for Standards and Technology and NIST Director Laurie E. Locascio. “Through this partnership, we will strengthen our understanding of foundation models and support new research and new researchers in this rapidly evolving field.”

The center will focus on foundational research and developing AI system-level tooling, metrics, evaluation procedures, development processes, and best practices to help AI builders consistently engineer safe AI systems. Its efforts will align with NIST AI priorities including better methods for measuring validity, reliability, safety, privacy and security; accountability, transparency, fairness and explainability; and generative AI evaluation at any stage of development or deployment.

The grant to CMU was awarded through NIST’s Measurement Science and Engineering Research Grant Program, which supports collaborative research aligned with NIST’s research objectives. The program seeks to develop a diverse, world-class pool of scientists and engineers to engage in NIST’s measurement science and standards research and to promote understanding of measurement science and standards. 

The new center’s work will support the NIST AI Innovation Lab (NAIIL), which is a component of NIST’s larger efforts on fundamental AI measurement research and guideline development.

Released September 24, 2024