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House AI Task Force Report Offers Recommendations for AI Policy, Highlights Standards’ Role

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The House AI Task Force has released its end-of-the-year report, offering guiding principles, recommendations, and policy proposals surrounding innovation and U.S. leadership in artificial intelligence (AI).

Led by co-chairs Reps. Jay Obernolte (R-Calif.) and Ted Lieu (D-Calif.), the Task Force developed 66 key findings and 85 recommendations for Congress to consider moving forward, taking into account input from technical experts, government officials, academics, legal scholars, and business leaders.

The report includes an extensive discussion about standards, noting that “the strength of the United States in international standards development will be instrumental to its global technological leadership in the development and governance of artificial intelligence.”

It also emphasizes the value of the private-sector-led standards system in the U.S.: “The greatest strength of the U.S. approach to voluntary consensus standards is its bottom-up, rules-based, multistakeholder process in which technical merit wins the day. Federal policies regarding voluntary consensus standards, trade, or strategic competitors that deviate from this approach can risk our national interests. The federal government can work with allies to uphold the U.S. open, rules-based approach in international standards bodies.”

The U.S. Government National Standards Strategy for Critical and Emerging Technology (USG NSSCET), its implementation roadmap, and ANSI’s United States Standards Strategy (USSS) are also noted as key reference documents on the U.S. approach to standards development, and the roles of the public and private sectors in this system.