White House AI Framework Revives Early Internet Governance Debates

The White House’s National AI Legislative Framework reflects a familiar approach to emerging technology governance, echoing early internet-era efforts that balanced light-touch regulation with safeguards to enable innovation.

“The American culture with regulation is always to be the wild wild west, wait and see, sort of culture, and that’s what we saw with the internet,” Special Competitive Studies Project Senior Director for Society and Intellectual Property Rama Elluru told GovCIO Media & Research in an interview.

The framework falls in line with a broader series of AI plans, executive orders and guidance from the Trump administration. It calls on Congress to establish a unified national AI policy that accelerates innovation while addressing security, privacy and workforce challenges.

Protection Parallels

Both the AI framework and early internet governance emphasize liability protections for platforms, Elluru said. During the rise of Web 1.0 and 2.0, Section 230 of the Communications Decency Act served as a “shield,” protecting companies from liability for content posted by their users. Recent AI governance echoes that philosophy with protections tied to how platforms manage user behavior.

Elluru said that the White House guidance largely mirrors this “shield” philosophy, though the mechanics have shifted. While Section 230 barred private parties from suing downstream, the new AI approach focuses on preventing government interference.

“The mechanisms are slightly different … but here the bar is upstream … agencies can’t dictate content on platforms,” Elluru stated.

Intellectual Property and AI

The framework states the administration believes training AI models on copyrighted material is legal, while advising Congress to take a wait-and-see approach and allow courts to adjudicate disputes.

Echoing the early internet regulatory era of Napster, Wikipedia and reexamination of fair use principles, the document calls for Congress to “monitor” how AI models and users treat intellectual property.

Elluru, a former USPTO administrative patent judge, said the document’s approach makes sense during a time of rapid AI development. She added that the changing pace of technology will require flexibility from Congress and the courts to arbitrate the details of intellectual property rights in the AI era.

“The patent system is flexible enough to adapt,” Elluru said. “If [governance] needs to change in the future as [AI] capabilities increase, I think the system can adapt accordingly.”

The judiciary, including those handling landmark cases against internet giants Google and Meta, can adapt and are well positioned to establish precedent, Elluru added.

“[Tech governance] is complex. There’s lots of moving parts, and I think courts are the best suited to hear all the arguments and set some precedents here,” she said.

Protecting the Vulnerable

The Web 1.0 and 2.0 governance era emphasized the safety of children online, which the AI framework echoes.

“Congress should establish commercially reasonable, privacy protective, age assurance requirements (such as parental attestation) for AI platforms and services likely to be accessed by minors,” the document reads.

The White House also urges Congress to establish a national “Parents’ Bill of Rights” that mandates commercially reasonable age-assurance requirements and provides adults with robust tools to manage privacy settings, screen time and content exposure.

Elluru said that the child safety governance side of AI brings up an perpetual internet conversation, ongoing since the early internet era.

“How many decades have we been saying that we need child safety? We need safety online for kids when it comes to social media platforms, and nothing was really done by Congress. Now this White House has signaled to Congress that that’s on their wish list,” Elluru said.

She added that there is rare bipartisan support for protecting vulnerable populations like children and the elderly from AI-enabled harms, which the framework broadly acknowledges.

“Do I think we’re on the cusp of seeing AI laws? I do. The leading ones are going to be for vulnerable populations, like children and elderly,” Elluru said. “Things like protecting elderly from fraudulent scams enabled by AI.”

A Different Geopolitical Moment

Unlike the early internet, which was largely viewed as a tool for global connectivity, AI is increasingly seen as central to national and economic security.

Early adopters of internet governance did not foresee the impact that the internet would have on geopolitics, but experts said that those lessons were learned for the AI era. AI systems need security built in, according to Tom Marlow, managing director at Dark Wolf Solutions.

“The original release of the internet, the original release of software, all of these things came out [and were not secure],” Marlow told GovCIO Media and Research in an interview. “Down the road, we realized, ‘Oh, hang on, if I put a sensitive data set out there, it could be exposed to people who I don’t want to have access to it.’”

Learning those lessons is key, Marlow said, to keep American AI innovation ahead of near-peers like China. Echoing the framework, he said that security requirements need to be built into governance.

“Congress has to secure [AI] … and it has to be upfront and a part of everything,” Marlow said. “The governance needs to say ‘Yes, you need to move fast and build new models, create new capabilities, but those also need to be protected.’”

Elluru said policymakers are approaching AI with a clearer understanding of its geopolitical implications, placing greater emphasis on innovation while remaining cautious about regulation.

“It’s a delicate balance, and I think the White House has made it clear [with AI] that they are more leaning into the innovation conversation before they understand where and how they need to regulate,” Elluru said.