The White House released a 142-page National AI Policy Blueprint on Friday, outlining the administration's strategy for maintaining U.S. leadership in artificial intelligence while mitigating risks from the technology.
The blueprint includes five pillars: AI research and development investment ($32 billion over five years), workforce training and education, regulation of high-risk AI applications, export controls on advanced AI chips, and international coalition-building to counter Chinese influence.
Unlike the European Union's comprehensive AI Act, the U.S. blueprint relies heavily on existing sectoral regulators (FDA, FCC, FTC) rather than creating a new federal AI agency. 'We believe in innovation-first regulation,' said White House AI advisor Michael Kratsios.
Controversial provisions
Civil liberties groups have criticized the blueprint's surveillance-related provisions, which would expand the use of AI-powered facial recognition at airports and border crossings without additional congressional oversight. 'This is a surveillance wishlist dressed up as a competitiveness plan,' said Kade Crockford of the ACLU.
The blueprint also calls for mandatory vulnerability disclosure for frontier AI models, a provision strongly opposed by major tech companies including OpenAI and Google.
We believe in innovation-first regulation. Our goal is to lead the world in AI, not hamstring American companies with red tape.
Congressional action is required for many of the blueprint's funding proposals. Bipartisan AI legislation has stalled in both chambers over disagreements on liability protections for AI developers.
