Risks from AI systems (Risks of supply chain security)

Mitigation strategy

1. Establish Supply Chain Diversification and Redundancy Implement a comprehensive, multi-tiered supplier network mapping and diversification strategy to reduce critical dependency on single-country or single-vendor sources for advanced AI components (e.g., semiconductor chips and specialized software). Strategically build redundancy into the supply chain—such as securing secondary sourcing contracts or maintaining a risk-modeled safety stock—to maximize the Time to Survive a sudden geopolitical-driven disruption. 2. Deploy Proactive Predictive Risk Modeling Integrate advanced Artificial Intelligence and Machine Learning systems for continuous, real-time monitoring of geopolitical developments, trade policy changes, and sub-tier supplier performance. Utilize predictive analytics and scenario modeling to forecast the potential impact of unilateral coercive measures, thereby enabling the rapid activation of pre-approved contingency and logistics rerouting plans. 3. Enforce Stringent Export Control Compliance Develop a continuously updated compliance and due diligence protocol to rigorously navigate evolving international technology export restrictions, including adherence to Foreign Direct Product Rules (FDPR) and enhanced end-use/end-user vetting. This mechanism is necessary to prevent inadvertent non-compliance that could lead to disruption of critical component access or expose the organization to legal penalties.