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Tech leaders urge a national AI data reserve, NIST standards and red‑teaming by national labs to keep AI development in the U.S.
Summary
Founders and researchers at a House hearing urged Congress to create a national AI data reserve, resource NIST for measurement science, and use national labs for red‑teaming sensitive models. They said clear federal data and testing standards would help preserve U.S. leadership and democratic values.
Industry and research witnesses told the House Energy and Commerce Committee that American AI leadership depends as much on access to data, measurement standards and safety institutions as it does on chips and energy.
Alexander Wang, founder and CEO of Scale AI, urged Congress to stand up a national AI data reserve to make government datasets ‘‘AI ready’’ and more widely available to advance U.S. models. Wang said the U.S. government is itself one of the largest producers of data and that centralizing and preparing those datasets would strengthen U.S. machine‑learning work.
Wang and other witnesses advocated three linked steps: - Resource NIST and the global…
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