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Trump Administration Proposes National AI Framework To Replace State Rules

Unified Regulatory Vision

The Trump administration has advanced a comprehensive legislative framework aimed at establishing a singular national policy for artificial intelligence. In a decisive move to implement uniform safety and security guardrails, the framework is designed to preempt a patchwork of state-level regulations. The proposal outlines a six-pronged approach that covers regulations for AI products and infrastructure, including new child-safety measures and standards for the permitting and energy usage of AI data centers.

Navigating Bipartisan Challenges

White House said it is working with Congress to pass the legislation within the current year. Michael Kratsios, Director of the Office of Science and Technology Policy, said the proposal aims to support innovation while introducing safeguards related to intellectual property, political expression, and content moderation. Legislation faces challenges in a divided Congress, where competing priorities may delay approval. Ongoing debates around other bills, including the SAVE America Act, reflect broader legislative constraints.

Safeguarding Innovation and Economic Opportunity

Administration said a unified regulatory approach would reduce fragmentation across states. Industry participants have raised concerns that differing state rules could slow development and affect competitiveness. The proposal also addresses issues, including child safety online, energy use in AI data centers, and protection of content creators.

Looking Ahead

Having signed an executive order in December to establish this single national standard, President Donald Trump and his administration appear committed to solidifying the nation’s leadership in the global AI race. With bipartisan support touted as achievable by the administration, the coming months will be crucial as federal lawmakers deliberate on converting this visionary proposal into enduring statutory law.

Meta’s $18 Billion Settlement Limits State Claims Over Children’s Data

Meta’s $18 billion settlement with attorneys general from 29 U.S. states includes a provision limiting future state claims over the company’s use of children’s data for age-assurance systems.

Under the agreement, Meta must develop, train and begin testing a system to identify users under 13 within a year of the settlement taking effect. The company already uses AI-based age-detection tools, although the agreement does not require the new system to use AI.

States Agree To Limits On Future Claims

The Children’s Online Privacy Protection Act (COPPA) generally restricts the collection and retention of personal data from children under 13. Under the settlement, the 29 state attorneys general agreed not to bring past, present or future claims under COPPA or similar state laws over the specified use of children’s data.

Meta will not be permitted to use information from users under 13 for advertising, marketing or algorithmic optimisation.

Federal Enforcement Remains Unclear

COPPA is primarily enforced by the Federal Trade Commission, which is not a party to the agreement. That leaves open the possibility of separate federal action over how Meta collects or uses children’s data.

Another issue is whether Meta can keep age-assurance data isolated from its other systems. An independent auditor will monitor compliance, but the settlement does not fully specify what data Meta can retain for training, how long it can be stored or whether derived insights can be used elsewhere.

Legal Risks Remain

Joshua Wurtzel, a partner at Schlam Stone & Dolan, said states could still pursue claims if Meta uses the data outside the settlement’s limits. Such cases could depend on how those limits are interpreted.

Peter Jackson, a data and intellectual property attorney at Greenberg Glusker, said the provision could “disincentivize future enforcement actions.”

The agreement gives Meta greater legal certainty around using children’s data for age assurance, but questions remain over federal enforcement, data retention and secondary use.

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