· Independent Global AI Safety and verification Research,

developing techniques that would allow states to rigorously verify that AI safety related claims made by developers, and potentially other states, are true and valid.

Over time, this body could also set standards for and commit to using verification methods to enforce domestic implementations of the Safety Assurance Framework.

Experts and safety authorities should establish incident reporting and contingency plans, and regularly update the list of verified practices to reflect current scientific understanding.

Further assurance should be provided by automated run time checks, such as by verifying that the assumptions of a safety case continue to hold and safely shutting down a model if operated in an out of scope environment.

States should mandate that developers conduct regular testing for concerning capabilities, with transparency provided through independent pre deployment audits by third parties granted sufficient access to developers’ staff, systems and records necessary to verify the developer’s claims.

· Independent Global AI Safety and verification Research

Independent research into AI safety and verification is critical to develop techniques to ensure the safety of advanced AI systems.

States, philanthropists, corporations and experts should enable global independent AI safety and verification research through a series of Global AI Safety and verification Funds.

States, philanthropists, corporations and experts should enable global independent AI safety and verification research through a series of Global AI Safety and verification Funds.

In addition to foundational AI safety research, these funds would focus on developing privacy preserving and secure verification methods, which act as enablers for domestic governance and international cooperation.

In the future, these methods may also allow states to verify safety related claims made by other states, including compliance with the Safety Assurance Frameworks and declarations of significant training runs.

Eventually, comprehensive verification could take place through several methods, including third party governance (e.g., independent audits), software (e.g., audit trails) and hardware (e.g., hardware enabled mechanisms on AI chips).

To ensure global trust, it will be important to have international collaborations developing and stress testing verification methods.

Critically, despite broader geopolitical tensions, globally trusted verification methods have allowed, and could allow again, states to commit to specific international agreements.