Introducing the Frontier Safety Framework

Hey tech enthusiasts! Let’s dive into some fascinating insightful content! As the latest frontier of AI, we are focused on analyzing and mitigating future risk posed by advanced AI models. The following information will outline our Frontier Safety Framework for proactive identification of severe harm and putting in place mechanism to detect and mitigate them. Our Framework aims to complement our alignment research, which trains models to act in accordance with human values and societal goals, while Google’s existing suite of AI responsibility and safety practices will be expanded to incorporate the Frontier Safety Framework into their systems. Our initial set of Critical Capability Levels are based on investigation of four domains: autonomy, biosecurity, cybersecurity, and machine learning research and development (R&D). Our initial research suggests that capabilities of future foundation models could pose severe risk in these domains. Specifically, we anticipate the spread of models with advanced capabilities to carry out harmful activities with severe consequences, as well as the potential for rapid and unmanageable escalaion of AI capabilities. To ensure responsible AI progress, we have designed a set of security and deployment mitigaction that will consider the overall benefits against risk while taking into account the context of model development and deployment. Our Frontier Safety Framework builds on our initial research and incorporates measures to assess the degree to which threat actors could use advanced capabilities to carry out harmful activities with severe consequences, as well as measures designed to slow down model development and deployment. We have also established a set of criteria for evaluating the safety of future generation of AI models, including assessing models’ potential for escaping detection mechanisms, their ability to leverage advanced capabilities, and the impact they could have on society if exploited. In the context of machine learning R&D, we expect these measures will enable models with advanced capabilities to achieve high-level security certifications such as PCI DSS 3.2.4 (Cryptographic Security) or NIST Cybersecurity Framework. Following their assessment, we will continue our work in calibrating specific mitigation strategies to the Critical Capability Levels identified by our initial research. To ensure consistent application and alignment with Google’s AI Principles, we commit to continuously sharing our approaches, including measures and criteria for evaluating the safety of future generation of AI models. In conclusion, we are committed to developing responsible AI progress while mitigating the risks associated with advanced AI capabilities. We have designed a robust framework that considers both the benefits and risks of model development and deployment while taking into account contextual factors such as model development and deployment. By continuing our work in calibrating specific mitigation strategies to Critical Capability Levels identified by our initial research, we aim to ensure alignment with Google’s AI Principles and promote responsible AI progress.