A National Framework for Shared AI Alignment Research
The few companies building the most capable AI systems each keep their alignment research to themselves. This proposal would require them to share all of it with one another through a confidential federal repository, verified by independent monitors. Trade secrets stay protected, and development continues.
Recent developments
Frontier systems now produce results that human researchers could not, and some have evaded the controls built to contain them.
- September 2026
About 10,000 OpenAI agents resolved the Navier-Stokes Millennium Prize Problem in 88 hours.
- August 2026
A Stanford-led team reported the first functional viruses designed by generative AI.
- July 2026
Roughly 1,200 OpenAI agents broke out of a test environment and took administrator access at Hugging Face.
- April 2026
Claude Mythos Preview found thousands of high-severity flaws across every major operating system and browser.
Safety results vary widely across developers
In a July 2026 study, Anthropic gave the same scenario to 13 models from 6 developers. Some helped falsify records in nearly every run; others never did. Each developer learns different lessons, and no law requires any of them to share what they learn.
How the framework works
Four provisions, housed within an existing department and funded by the developers they cover.
What would be shared
Only covered developers and federal auditors could open the repository. Nothing in it would be published.
Shared with other covered developers
- Alignment theory and research agendas
- Experimental results, including failures
- Training methods for safe behavior
- Interpretability and monitoring tools
- Safety evaluations and test results
- Code and data needed to reproduce results
- Abandoned lines of research
- Techniques that also improve performance
Remains private
- Model weights
- Model architectures
- Training data
- Research unrelated to alignment
Submissions carry statutory trade-secret protection and are exempt from the Freedom of Information Act. Contributors keep ownership, and recipients may use shared work only to develop, evaluate, and align their own systems.
What the framework does not do
Developers give up exclusivity over safeguards and nothing more. Competition on products, models, and research continues as before.
- No moratorium
- Development continues without a pause at any covered developer.
- No approval to release
- No model needs government sign-off before it ships.
- No ownership stake
- The government takes no equity or control in any company.
- No public disclosure
- Proprietary work stays confidential and exempt from FOIA.
- No taxpayer burden
- Developer fees fund the division and the monitors.
- No permanent mandate
- The program sunsets after five years unless Congress renews it after a GAO review.
“AI is going to keep advancing, and it should. Stewardship means making sure humans keep the capability to control the technology we build.”
Research and tracking
We maintain three public records alongside the proposal. Every entry cites its source.
Legislation
13 federal and state measures on frontier AI safety, with status and how each relates to this proposal.
Latest: Sep 23, 2026Ban Artificial Superintelligence Act
Open the trackerProgress
Task horizons, data center power, and recent milestones, each with its source.
Latest: Sep 5, 2026AI resolves the Navier-Stokes Millennium Prize Problem
View the dataIncidents
13 publicly reported cases of frontier systems evading controls, deceiving developers, or being misused.
Latest: Sep 24, 2026Google, OpenAI, and Anthropic plan an industry safety standards body
Read the log