We need a framework for external safety testing of advanced AI models to understand and mitigate potential dangers before they are released.

It's essential to define rigorous testing for AI models to ensure society understands the risks associated with their deployment.

As AI systems become more capable, we need to ensure that we have safety processes in place throughout their development, not just when they become powerful.

Anthropic has a strong safety mission, which includes responsible scaling policies to identify and mitigate catastrophic risks associated with AI models.

The responsible scaling program emphasizes the need for safeguards alongside advanced capabilities to ensure safe deployment of AI technologies.

To effectively test AI control measures, models should be stress-tested by training them to understand the mitigations in place, ensuring they cannot exploit knowledge of monitoring to act harmfully.

We've built in security measures to prevent prompt injections and ensure that AI agents behave as expected, especially in regulated environments.

Safety in AI encompasses preventing accidental misuse, intentional misuse, and ensuring that policies align with global preferences and values.

We aim to share our findings about AI usage to foster societal resilience and prepare for the transformative potential of this technology.