AI Race (Environmental/Structural)

Mitigation strategy

1. **Establish a Global AI Governance Regime and Safety Standards:** Prioritize the development and implementation of binding international coordination mechanisms, treaties, and robust safety regulations to de-escalate the competitive pressures of the AI race. This action is paramount for managing a structural risk that transcends national borders and should focus on enforcing a collectively slower, safety-focused development cadence for frontier AI systems. 2. **Mandate Rigorous Organizational Safety Frameworks:** Impose legally-backed requirements for all major AI developers (both corporate and national labs) to implement comprehensive and auditable AI governance frameworks. These frameworks must mandate rigorous safety research, multi-layered risk defenses, continuous monitoring for model drift and adversarial attacks, and human oversight/override mechanisms, particularly for high-risk, general-purpose AI systems. 3. **Implement AI Nonproliferation and Access Controls:** Enforce compute and export controls to restrict the unmonitored proliferation of the most powerful and dangerous AI capabilities. This involves limiting the flow of high-end computational hardware (e.g., advanced chips) and restricting access to frontier model weights and training data to prevent high-risk actors from rapidly deploying potentially catastrophic systems.