How much regulation is happening under the Trump administration? This tracker helps you monitor a selection of delayed, repealed, and new rules, notable guidance and policy implementations, and important court battles covering energy, health, labor, and more.
Litigation Tracker: Legal Challenges to Trump Administration Actions
A public resource tracking the legal challenges to the Trump administration's executive orders and actions.
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...
Trump Action Tracker | Keeping a tally of Trump's actions
Free and independent tracker documenting Trump-related actions using verified news sources. Statements & plans mapped to authoritarianism domains.
Litigation Tracker
Find legal challenges to executive orders and actions from the Trump administration.
US Domestic Policy Dashboard - Impact Counter | Impact Counter
Explore US domestic policies and their impact on public health across all branches of government.
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 […]
The Anti-Corruption Tracker: Mapping the Erosion of Oversight and Accountability
This Anti-Corruption Tracker focuses on the erosion or dismantling of oversight and accountability systems within the United States Executive Branch
Collection: Just Security’s Coverage of Trump Administration Executive Actions
Ongoing coverage, including in concise “What Just Happened” expert explainers, legal and policy analysis, and other resources.
Trump drops restrictions on Anthropic's Mythos and Fable models | TechCrunch
The Trump administration's erratic approach to AI policymaking has left companies across the industry with little clarity about what will govern future model releases.
Explore Financial Disclosures From President Trump and 1,500 of His Appointees - ProPublica
Use this database to explore potential conflicts of interest for President Donald Trump and his team. The documents disclose positions officials have held outside government, their assets and their debts, among other things.
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.
Meta’s fact-checking changes are just what Trump’s FCC head asked for
Nice liability shield you’ve got there.
Frontier AI Regulation Blueprint
A high-level blueprint for domestic regulation of civilian advanced AI models
Anthropic model takedown fuels warning of ‘ad hoc’ AI regulation
The Trump administration is coming under fire for a directive prompting Anthropic to pull its latest models, and artificial intelligence policy advocates warn the move signals the White House is ta…
The Desktop Regulatory State
Kevin A. Carson The Desktop Regulatory State The Countervailing Power of Individuals and Networks March 2016
HF 1606 2nd Engrossment - 94th Legislature (2025 - 2026)