Trump AI Framework Targets State Rules, Puts Child Safety Responsibility on Parents

The Trump administration unveiled a legislative framework on Friday aimed at establishing a single, national policy for artificial intelligence in the United States. The proposal would consolidate regulatory authority in Washington by preempting state-level AI laws, potentially countering the recent wave of state efforts to govern the technology's use and development.

“This framework can only succeed if it is applied uniformly across the United States,” a White House statement asserted. “A patchwork of conflicting state laws would undermine American innovation and our ability to lead in the global AI race.”

The framework outlines seven key priorities focused on promoting innovation and scaling AI, advocating for a centralized federal approach that would supersede stricter state rules. It assigns considerable responsibility to parents on issues like child safety, while outlining relatively flexible, non-binding expectations for platform accountability.

For instance, it suggests Congress should mandate that AI companies implement features to “reduce the risks of sexual exploitation and harm to minors,” but stops short of detailing any specific, enforceable requirements.

This proposal follows an executive order signed by President Trump three months ago, directing federal agencies to challenge state AI regulations. That order gave the Commerce Department 90 days to compile a list of state laws deemed “onerous,” a move that could jeopardize states' access to federal funding such as broadband grants. The agency has not yet published that list.

The order also instructed the administration to collaborate with Congress on a uniform AI law. This latest framework brings that vision into sharper focus, reflecting Trump's prior AI strategy that emphasized corporate growth over restrictive regulations.

The new framework advocates for a “minimally burdensome national standard,” aligning with a broader administration push to “remove outdated or unnecessary barriers to innovation” and speed up AI adoption across sectors. This pro-growth, light-touch approach is favored by so-called “accelerationists,” including White House AI czar and venture capitalist David Sacks.

While acknowledging federalist principles, the framework offers states only narrow exceptions, preserving their authority solely over general laws concerning fraud, child protection, zoning, and state government use of AI. It firmly opposes states regulating core AI development, arguing it is an “inherently interstate” matter linked to national security and foreign policy.

The framework also aims to shield developers by preventing states from “penaliz[ing] AI developers for a third party’s unlawful conduct involving their models.”

Notably absent are any proposals for liability frameworks, independent oversight, or enforcement mechanisms to address potential novel harms from AI. In practice, the plan would centralize AI policymaking in Washington while significantly limiting states' capacity to act as early regulators of emerging risks.

Critics argue that states serve as laboratories of democracy and have been more agile in legislating around new dangers. Laws like New York’s RAISE Act and California’s SB-53, for example, seek to mandate that large AI companies establish and follow publicly documented safety protocols.

“White House AI czar David Sacks continues to do the bidding of Big Tech at the expense of regular, hardworking Americans,” said Brendan Steinhauser, CEO of The Alliance for Secure AI. “This federal AI framework seeks to prevent states from legislating on AI and provides no path to accountability for AI developers for the harms caused by their products.”

Many in the AI industry welcome this direction, as it grants them greater freedom to “innovate” without the looming threat of regulation.

“This framework is exactly what startups have been asking for: a clear national standard so they can build fast and scale,” Teresa Carlson, president of General Catalyst Institute, told TechCrunch. “Founders shouldn’t have to navigate a patchwork of conflicting state AI laws that impede innovation.”

Child safety, copyright and free speech

The framework arrives as child safety has become a central issue in the AI debate. While some states have moved aggressively to pass laws protecting minors and increasing tech company accountability, the administration's proposal takes a different tack, stressing parental control over platform responsibility.

“Parents are best equipped to manage their children’s digital environment and upbringing,” the framework states. “The Administration is calling on Congress to give parents tools to effectively do that, such as account controls to protect their children’s privacy and manage their device use.”

It also notes the administration “believes” AI platforms should “implement features to reduce potential sexual exploitation of children and encouragement of self-harm.” While it urges Congress to require such safeguards and affirms that existing laws against child sexual abuse materials apply to AI, the proposal uses qualifiers like “commercially reasonable” and avoids setting clear, definitive standards.

On copyright, the framework seeks a middle ground between protecting creators and permitting AI training on existing works, citing the doctrine of “fair use.” This language echoes arguments made by AI companies facing a growing number of copyright lawsuits over their training data.

The primary guardrails outlined in the framework involve ensuring “AI can pursue truth and accuracy without limitation.” It focuses particularly on preventing government-mandated censorship rather than regulating platform moderation itself.

“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 framework reads. It further instructs Congress to establish a legal recourse for Americans against government agencies that attempt to censor expression on AI platforms or dictate their information output.

This release coincides with a lawsuit from Anthropic against the government, alleging First Amendment rights violations after the Defense Department labeled the company a supply chain risk. Anthropic claims the designation is retaliation for refusing military use of its AI for mass surveillance or autonomous weapons targeting. Trump has previously criticized Anthropic and its CEO Dario Amodei as “woke” and “radical” leftists.

The framework's emphasis on protecting “lawful political expression or dissent” builds upon Trump's earlier Executive Order targeting so-called “woke AI,” which pressured federal agencies to adopt ideologically neutral systems.

The ambiguity between what constitutes censorship versus standard content moderation could complicate regulators' efforts to coordinate with platforms on combating misinformation, election interference, or public safety threats.

Samir Jain, vice president of policy at the Center for Democracy and Technology, noted: “[The framework] rightly says that the government should not coerce AI companies to ban or alter content based on ‘partisan or ideological agendas,’ yet the Administration’s ‘woke AI’ Executive Order this summer does exactly that.”