Frontier Safety Framework
The AI security framework launched by DeepMind aims to identify and mitigate future risks of advanced AI models.
Product Details
The Frontier Safety Framework is a set of protocols proposed by Google DeepMind to proactively identify situations in which future AI capabilities may cause serious harm and establish mechanisms to detect and mitigate these risks. The framework focuses on powerful capabilities at the model level, such as superior agent capabilities or complex network capabilities. It is designed to complement our alignment research, which trains models to act in accordance with human values and social goals, as well as Google’s existing AI responsibility and safety practices.
Main Features
How to Use
Target Users
The target audience is AI researchers, developers, as well as enterprises and policymakers who are concerned about AI safety and ethics. This framework provides a set of methodologies for assessing and mitigating AI risks, helping them build AI systems that are safer and more consistent with human values.
Examples
Used to evaluate the potential risks of AI models in the field of autonomous driving.
In drug discovery, ensure that the AI model’s recommendations do not cause unforeseen side effects.
In improving economic productivity, prevent the decision-making of AI models from leading to unfair or unethical results.
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