Frontier AI Regulation Blueprint

Where AI Regulation Stands Today

The White House has released a National Artificial Intelligence Legislative Framework and new executive orders aiming to establish a single, nationwide standard for AI regulation...

Responsible Innovation at the Frontier - Americans for Responsible Innovation

ARI’s blueprint for federal AI governance is designed to promote safe frontier AI development in America. The blueprint is built around three governance functions any federal proposal should incorporate.

Debates On Frontier Artificial Intelligence Governance: The AI Triad

Analytical Paper Optional: All enrolled students have the option of completing a research paper of at least 20-25 pages, with faculty and peer review of a substantially complete draft. This paper can be used to satisfy the analytical paper requirement for J.D. students. Prerequisite: This course is intended for students intending to work in the […]

Pacing the Frontier | Gillian K. Hadfield

The Pacing the Frontier letter calls on the US government to support an international effort to build the technical and governance tools needed to protect our option to pace AI development. I and others have been working on the problem of how to build such infrastructure for ten years, including participating in dialogues on AI safety with Chinese academic colleagues during the past three. Here are my suggestions: 1. Don’t rely on off-the-shelf models like FINRA and the FDA which were built for 20th Century single-domain government expertise. They’re not fit for purpose. 2. Don’t act like no-one’s thought about the AI governance problem before. We’ve spent two years refining a regulatory markets design into working legislative language, for example, and it’s now in AI governance bills in five states and in Congress. 3. Don’t try to write an exhaustive set of rules for AGI first.  4. Pick a domain that can achieve widespread global consensus to start. Mine would be recursive self-improvement: models should not build models. Build the technology that verifies that. 5.  Focus relentlessly on building flexible verification infrastructure that is able to enforce whatever rules we can ultimately agree on.  6. Don’t assume we already know how to do this and governments can just write tests into law. Technology needs to be built and by the private sector. 7. Don’t wait for the infrastructure to emerge first. The components and people are there and the ecosystem can scale fast with the right incentives. 8. Incentivize large-scale investment in verification technology by building a governance structure and industry funding that creates a market for private verification organizations. 9. Use licensing and public oversight to ensure verifiers are independent of the frontier labs. 10. Protect sovereignty by enabling each government to license its own verifiers from a global market of verifiers recognized by other countries. 11. Leverage the incentive of global trade for models and model services by requiring verification for market access. 12. Just start. Sources in comments.

Americans for Responsible Innovation on Twitter / X

NEW: Today ARI released a blueprint for federal AI governance, including three pillars that promote safe frontier AI development: ✅ Standards set by the government ✅ Independent assurance they are met ✅ Transparency into frontier AI development https://t.co/s2mlUP27Wm pic.twitter.com/X6IhBS9jKF— Americans for Responsible Innovation (@americans4ri) August 10, 2026

What the Anthropic fight says about AI regulation

Fables of the deconstruction of American power

Building Political Superintelligence

Amidst fears of dystopia, a blueprint for how we use AI to reinvent the way we govern ourselves

What Can We Learn From the FDA Model for AI Regulation? - AI Now Institute

After holding a rapid deliberation late last year that convened deep experts on the FDA alongside key participants in the AI policy debate, we pulled together several immediate insights into a memo. Though it was clear the path forward isn’t to port over any single regulatory model wholesale, hosting a deep dive into the Food […]

Pritzker signs landmark AI regulation bill that aims to mitigate risks

Article Summary JB Pritzker signed a landmark bill regulating large artificial intelligence developers on Monday, adding new reporting requirements for

Import AI 452: Scaling laws for cyberwar; rising tides of AI automation; and a puzzle over gDP forecasting

How much could AI revolutionize the economy?

Who decides when AI is too dangerous?

Anthropic asked for AI regulation, but not like this.

The EU AI Act Is Ready – Interdependent Thoughts

A final draft of the European AI Regulation is circulating (here’s an almost 900 page PDF). The coming days I will read it with curiosity.

AI Principles

A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.

Agentic AI Governance: Securing Autonomous AI Agents in Enterprise

When AI agents start making decisions, calling tools, and coordinating with other agents without waiting for human approval, the governance playbook most...

Can AI Be Governed? Only If We Build Normatively Competent AI

Hadfield's discussion brings the idea of AI governance back to the core idea of steering the behavior of an AI system. As she notes, this not only involves technical questions about how AI systems ar...