Anthropic

The bills include the AI OVERWATCH Act, the Chip Security Act, and the MATCH Act. Anthropic supports all three bills and is ending its membership in ITI over the group's efforts to block them from passing.

Public input is critical to ensuring that powerful AI serves humanity’s interests.

Promising directions we’ve identified so far include developing the capacity to detect and respond to AI systems acting outside their developers' control, and building infrastructure for containing or shutting down such systems.

Our Advanced AI Framework proposes mandatory independent safety testing for frontier models, transparency requirements, and government authority to block or recall dangerous AI deployments.

We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology.

Because effective tax rates on labor substantially exceed those on capital, a shift in national income from labor toward capital means the current tax system captures a shrinking share of a growing economy, even as the cost of sustained income suppor...

Require Covered Developers to report Critical Safety Incidents to the designated Agency within 15 days of the Covered Developer discovering the Critical Safety Incident or facts that would lead the Covered Developer to reasonably conclude that the Cr...

Absent a strong federal law, states should retain full authority to legislate.

Champion the export of American AI. As public and commercial sectors around the world increasingly adopt AI, the Trump administration should continue its efforts to promote the global adoption of trusted AI hardware and models developed and shaped by...

We do not believe that today’s frontier AI models are reliable enough to be used in fully autonomous weapons. Allowing current models to be used in this way would endanger America’s warfighters and civilians.

Before approving a new model for easy or broad internal use (e.g., making the model available via our most-used internal tools), we conduct a pre-deployment review process.

We treat misalignment as a central, but solvable, problem for both us and for the field.

But if that happens, it's likely that AI will have acted as a general substitute for labor: these gains could come with a reduction in demand for human work that is difficult or impossible for many workers to absorb. In this world, the central econom...

If it were possible to effectively slow the development of this technology to give ourselves more time to deal with its immense implications, we think that would likely be a good thing. But if a slowdown simply lets the least cautious actors catch up...

If it were possible to effectively slow the development of this technology to give ourselves more time to deal with its immense implications, we think that would likely be a good thing. But if a slowdown simply lets the least cautious actors catch up...

Importantly, the law balances [...] whistleblower protections—[...]. [...] Protecting whistleblowers: It should be an explicit violation of law [...] punish employees who raise concerns [...].

Our proposed transparency framework offers a practical first step: public visibility into safety practices while preserving private sector agility to deliver AI's transformative potential.

If you decide to turn off the model training setting, we will not use any new chats [...] for future model training.