Summarizing https://www.deepmind.com/blog/an-early-warning-system-for-novel-ai-risks

Here's my try:

DeepMind's technical blog discusses a proposed framework for identifying and addressing novel AI risks before they become critical issues. The framework is designed to evaluate general-purpose models against potential threats, allowing for proactive risk management. Model evaluation helps us identify dangerous capabilities and alignment issues in AI models, which could be used to threaten security or cause harm. Results from these evaluations will help AI developers to understand whether the ingredients sufficient for extreme risk are present. The most high-risk cases will involve multiple dangerous capabilities combined together. To deploy such a system in the real world, an AI developer would need to demonstrate an unusually high standard of safety.

The blog also discusses how model evaluations can feed into important decisions around training and deploying highly capable, general-purpose models. Developers conduct evaluations throughout, grant structured model access to external safety researchers and model auditors so they can conduct additional evaluations. Evaluation results inform risk assessments before model training and deployment.

Looking ahead, the blog emphasizes that much more progress is needed to build an evaluation process that catches all possible risks and helps safeguard against future, emerging threats. The goal is to create a system where AI developers are incentivized to prioritize safety and transparency, and where the public can have confidence in the responsible use of AI.