We imagine {that a} sensible strategy to fixing AI security issues is to dedicate extra time and assets to researching efficient mitigations and alignment strategies and testing them towards real-world abuse.
Importantly, we additionally imagine that enhancing AI security and capabilities ought to go hand in hand. Our greatest security work thus far has come from working with our most succesful fashions as a result of they’re higher at following customers’ directions and simpler to steer or “information.”
We will probably be more and more cautious with the creation and deployment of extra succesful fashions, and can proceed to boost security precautions as our AI techniques evolve.
Whereas we waited over 6 months to deploy GPT-4 in an effort to higher perceive its capabilities, advantages, and dangers, it might generally be essential to take longer than that to enhance AI techniques’ security. Due to this fact, policymakers and AI suppliers might want to be sure that AI improvement and deployment is ruled successfully at a worldwide scale, so nobody cuts corners to get forward. It is a daunting problem requiring each technical and institutional innovation, however it’s one which we’re desirous to contribute to.
Addressing issues of safety additionally requires in depth debate, experimentation, and engagement, together with on the bounds of AI system habits. We’ve and can proceed to foster collaboration and open dialogue amongst stakeholders to create a protected AI ecosystem.
