Responsible Scaling

Responsible Scaling is a conceptual framework in AI safety that holds that advances in AI system capabilities must be accompanied by commensurate safety measures. Its core principle requires that, before scaling a model's size or expanding its deployment, potential risks are assessed through systematic evaluation and sufficient safety mitigations are established. The framework was first systematically articulated by Anthropic and aims to balance technological progress in AI with risk management.