Powered by Smartsupp

Federal AI Framework Unveiled, Centralizing Power and Preempting State Regulations



By admin | Mar 20, 2026 | 5 min read


Federal AI Framework Unveiled, Centralizing Power and Preempting State Regulations

On Friday, the Trump administration unveiled a legislative framework aimed at establishing a unified national policy for artificial intelligence in the United States. This framework seeks to consolidate regulatory authority in Washington by preempting state AI laws, which could diminish the impact of numerous recent state-level initiatives to govern the technology's use and development. A White House statement emphasized, “This framework can only succeed if it is applied uniformly across the United States. A patchwork of conflicting state laws would undermine American innovation and our ability to lead in the global AI race.”

The proposal outlines seven primary goals focused on fostering innovation and scaling AI, advocating for a centralized federal strategy that would supersede more rigorous state regulations. It assigns considerable responsibility to parents in areas like child safety, while setting forth relatively lenient, non-binding expectations for platform accountability. For instance, it suggests Congress should mandate that AI companies incorporate features to “reduce the risks of sexual exploitation and harm to minors,” yet it avoids establishing any specific, enforceable requirements.

This framework arrives three months after President Trump signed an executive order instructing federal agencies to contest state AI laws. That order tasked the Commerce Department with compiling a list of “onerous” state regulations within 90 days, a move that could affect states' access to federal funding such as broadband grants. The department has not yet released that list. The order also directed the administration to collaborate with Congress on a uniform AI law, a vision now taking shape that aligns with Trump’s prior AI strategy—one less focused on regulatory safeguards and more on encouraging corporate growth.

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advocates for a “minimally burdensome national standard,” reflecting the administration’s broader initiative to “remove outdated or unnecessary barriers to innovation” and speed up AI adoption across various sectors.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

While acknowledging federalist principles, the framework offers only limited carve-outs for states, preserving their authority solely over general laws concerning fraud, child protection, zoning, and state government use of AI. It firmly opposes state regulation of AI development itself, describing it as an “inherently interstate” matter linked to national security and foreign policy. Additionally, it aims to shield developers from liability by preventing states from “penaliz[ing] AI developers for a third party’s unlawful conduct involving their models.”

Notably absent from the framework are any provisions addressing liability structures, independent oversight, or enforcement mechanisms for potential new harms caused by AI. In practice, this approach would centralize AI policymaking in Washington while restricting states' ability to act as early regulators of emerging risks. Critics argue that states serve as testing grounds for democracy and have been more agile in passing legislation to address novel dangers. For example, New York’s RAISE Act and California’s SB-53 aim to ensure that major AI companies maintain and follow publicly documented safety protocols.

Brendan Steinhauser, CEO of The Alliance for Secure AI, commented, “White House AI czar David Sacks continues to do the bidding of Big Tech at the expense of regular, hardworking Americans. 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.”

Conversely, many in the AI industry welcome this direction, as it grants them greater freedom to “innovate” without the looming threat of regulation. They argue, “Founders shouldn’t have to navigate a patchwork of conflicting state AI laws that impede innovation.”

**Child Safety, Copyright, and Free Speech**

The framework was released at a time when child safety has become a central issue in the AI debate. Some states have actively passed laws designed to protect minors and increase tech companies' responsibilities. The administration’s proposal diverges from this trend, emphasizing parental control over platform accountability. It states, “Parents are best equipped to manage their children’s digital environment and upbringing. 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.”

The framework also expresses that 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—including those prohibiting child sexual abuse materials—should apply to AI systems, the proposal uses qualifiers like “commercially reasonable” and avoids setting clear, mandatory standards.

On copyright, the framework seeks a compromise between protecting creators and permitting AI systems to be trained on existing works, referencing the need for “fair use.” This language echoes arguments made by AI companies as they confront a rising number of copyright lawsuits related to their training data.

The primary safeguards outlined in Trump’s AI framework involve ensuring “AI can pursue truth and accuracy without limitation.” It specifically concentrates on preventing government-mandated censorship rather than regulating platform moderation itself. The framework reads, “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.” It further directs Congress to create a legal pathway for Americans to seek redress against government agencies that attempt to censor expression on AI platforms or dictate the information they provide.

This proposal emerges as Anthropic is suing the government, alleging First Amendment violations after the Defense Department classified it as a supply chain risk. Anthropic claims this designation is retaliation for refusing to allow the military to use its AI products for mass surveillance of Americans or for making targeting and firing decisions in autonomous lethal weapons. Trump has previously labeled 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 encouraged federal agencies to adopt systems considered ideologically neutral. However, the ambiguity between what constitutes censorship versus standard content moderation could complicate regulators' efforts to collaborate with platforms on issues like misinformation, election interference, or public safety risks.

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.”




RELATED AI TOOLS CATEGORIES AND TAGS

Comments

Please log in to leave a comment.

No comments yet. Be the first to comment!