As AI technology evolves, ensuring reliability, security, and user protection becomes crucial. Our updated Advanced AI Scaling Framework enhances the original Frontier AI Framework by broadening risk evaluations and refining deployment decision-making processes. This rigorous framework assesses severe and emerging risks, including cybersecurity and loss of control, especially as models gain autonomy. We map potential risks and evaluate model performance pre- and post-deployment, ensuring they meet our stringent standards before release. Our upcoming Safety & Preparedness Reports will provide transparency on risk assessments, evaluation outcomes, and deployment rationales, addressing any existing limitations. With these updates, users can trust that the AI models powering Meta applications have undergone comprehensive scrutiny, aligning with our commitment to safety as we advance in AI capabilities. This proactive approach emphasizes our dedication to creating secure, reliable, and personalized AI experiences while navigating the complexities of advanced technology.
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