"Coordinated global action on AI safety research and governance is critical to prevent uncontrolled frontier AI development from posing unacceptable risks to humanity."

AI safety is a global public good that should be supported by public and private investment, with advances in safety shared widely.

AI safety is a global public good that should be supported by public and private investment, with advances in safety shared widely.

We face near term risks from malicious actors misusing frontier AI systems, with current safety filters integrated by developers easily bypassed.

Moreover, there is a serious risk that future AI systems may escape human control altogether.

Governments should monitor large scale data centers and track AI incidents, and should require that AI developers of frontier models be subject to independent third party audits evaluating their information security and model safety.

We also recommend defining clear red lines that, if crossed, mandate immediate termination of an AI system — including all copies — through rapid and safe shut down procedures.

Reaching adequate safety levels for advanced AI will also require immense research progress.

Sufficient human control needs to be ensured for these systems.

Concerted effort by the global research community in both AI and other disciplines is essential; we need a global network of dedicated AI safety research and governance institutions.

We call on leading AI developers to make a minimum spending commitment of one third of their AI R&D on AI safety and for government agencies to fund academic and non profit AI safety and governance research in at least the same proportion.

We call on leading AI developers to make a minimum spending commitment of one third of their AI R&D on AI safety and for government agencies to fund academic and non profit AI safety and governance research in at least the same proportion.