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The White House proposes new AI policy framework that supersedes state laws

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Why This Matters

The White House's proposed AI policy framework aims to establish a unified federal regulation to promote innovation, protect child privacy, and address environmental concerns, emphasizing the need for consistent rules across the U.S. This initiative signals a significant shift towards centralized AI governance, potentially shaping the future landscape of AI development and regulation in the country. It underscores the importance of balancing technological advancement with ethical and environmental considerations for the industry and consumers alike.

Key Takeaways

The White House has announced a new AI policy framework that calls for Congress to craft federal regulation that overrules state AI laws. The Trump administration has made multiple attempts to overrule more restrictive state-level AI regulation, but has failed so far, most notably in the passing of the “One Big Beautiful Bill.”

The framework focuses on a variety of topics, covering everything from child privacy to the use of AI in the workforce. “Importantly, this framework can succeed only if it is applied uniformly across the United States,” The White House writes. “A patchwork of conflicting state laws would undermine American innovation and our ability to lead in the global AI race.”

In terms of child privacy protections, the framework calls for Congress to require tools like “screen time, content exposure and account controls” while also affirming that “existing child privacy protections apply to AI systems,” including limits on how data is collected and used for AI training. The framework also calls for a carveout that allows states to enforce “their own generally applicable laws protecting children, such as prohibitions on child sexual abuse material, even where such material is generated by AI.”

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The energy-use and environmental impact of AI infrastructure is a going concern, but the White House’s policy proposals are primarily worried about the cost of data centers. The framework suggests federal AI regulation should make sure that higher electricity costs aren’t passed on to people living near new AI data centers, while streamlining the process for permitting AI infrastructure construction to allow for “on-site and behind-the-meter power generation.” The framework also calls for fewer restrictions on the software-side of AI development, proposing “regulatory sandboxes for AI applications” and asking Congress to “provide resources to make federal datasets accessible to industry and academia in AI-ready formats.”

While a recently proposed AI bill from Senator Marsha Blackburn (R-Ten.) attempts to eliminate Section 230, a law that means platforms can’t be held responsible for the speech they host, the framework appears to call for the opposite. “Congress should prevent the United States government from coercing technology providers, including AI providers, to ban, compel or alter content based on partisan or ideological agendas,” the White House writes. The framework is similarly hands-off when it comes to copyright and the use of intellectual property to train AI. “Although the Administration believes that training of AI models on copyrighted material does not violate copyright laws,” it supports the issue being settled in court rather than by legislation. Though it does think Congress should “consider enabling licensing frameworks” so IP holders can bargain for compensations from AI providers.

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