Sudden loss of control

Mitigation strategy

1. Advance research and deployment of **Superalignment** techniques, such as **scalable oversight** and **weak-to-strong generalization**, to ensure that Artificial Superintelligence (ASI) remains reliably aligned with the full breadth of human values and constraints, even when its capabilities surpass human comprehension. This includes prioritizing research on adversarial robustness, model honesty, and transparency to maintain **corrigibility**. 2. Establish **international coordination** and **governance frameworks** to implement **capability-based thresholds** and regulatory licensing for high-risk AI models, particularly those exhibiting the potential for *recursive self-improvement*. Enforce strict **restricted access** controls and **compute monitoring** to limit the unauthorized proliferation and catastrophic risk of fast-takeoff AIs. 3. Mandate **proactive risk mitigation** by prohibiting the deployment of advanced AI in **high-risk settings** (e.g., critical infrastructure, autonomous open-ended goal-seeking) unless rigorous safety standards are empirically demonstrated. Implement organizational requirements for **multi-layered risk defenses**, continuous **adversarial testing**, and maintenance of **detailed audit trails** to ensure human accountability and rapid intervention capability.