Anthropic

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

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

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.

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

If policymakers in the US and allied democracies act to close these two channels propping up China’s AI models—illicit and evasive compute access and illicit model access—then we have a potentially once-in-a-generation opportunity to secure our lead.

It’s built on five core principles: keeping humans in control, aligning with human values, securing agents’ interactions, maintaining transparency, and protecting privacy.

Second, we believe that mass domestic surveillance of Americans constitutes a violation of fundamental rights.

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.

Mass domestic surveillance. We support the use of AI for lawful foreign intelligence and counterintelligence missions. But using these systems for mass domestic surveillance is incompatible with democratic values.

We are not sure whether Claude is a moral patient, and if it is, what kind of weight its interests warrant. But we think the issue is live enough to warrant caution, which is reflected in our ongoing efforts on model welfare.

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

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...

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.

ASL-2 refers to systems that show early signs of dangerous capabilities – [...] give instructions on how to build bioweapons – [...] e.g. a search engine couldn’t.

we propose that AI developers pre-register large training runs [...] within their home country’s government [...] plausible bar for now would be 10^26 FLOP or higher.