Differential Automation: Steering Automated Research and Development Toward Safety and Security
AI companies are increasingly automating research and development (R&D) processes, advancing powerful AI systems and compressing timelines for the implementation of necessary safeguards. To manage the risks posed by fully automated AI R&D, or recursive self-improvement (RSI), our report sets out a differential automation strategy to ensure that an effective share of frontier-model-enabled R&D is directed toward security-critical efforts.
Risk Reporting for Developers’ Internal AI Model Use
Frontier AI companies run their most capable models internally for weeks before public release. This report offers a harmonized reporting standard for internal use risks across SB 53, RAISE, and the EU Code of Practice.