The White House (via OMB) strongly protests Congressional efforts within the FY 2027 NDAA to prohibit the purchase of warships from foreign shipyards. The Administration argues that these restrictions undermine national security by limiting flexibility and hindering its strategy of leveraging allied yards, such as in the 'Finland model,' to drive investment into U.S. shipbuilding capacity. This signals a significant policy shift toward integrating international partners into advanced naval construction, suggesting the Pentagon is prepared to bypass traditional domestic build requirements for future combat vessels.
Reality Checking a Major National R&D Investment in AI Trustworthiness, Safety, and Security: Weighing the Costs and Benefits of a $10 Billion Bet on Increasing the Robustness of the United States’ AI Future
English Summary
A RAND report uses break-even analysis to evaluate a hypothetical $10 billion U.S. government investment in AI trustworthiness R&D, concluding it can be justified across various plausible scenarios. The investment promises dual benefits: significantly reducing the risk of catastrophic AI incidents (estimated at $97.9 trillion in potential losses) and accelerating economic growth by fostering wider adoption of advanced AI, potentially leading to an average annual gain of $10.1 trillion. While acknowledging potential economic drag from stricter safety measures, the analysis indicates that even with these costs, a well-designed program can break even. Policymakers are urged to structure such R&D to ensure safety and innovation are complementary, viewing it as both an insurance policy and a strategic investment for technological leadership.
中文摘要
一份RAND報告運用盈虧平衡分析，評估美國政府對人工智慧（AI）可信度研發投入100億美元的假想投資，結論是該投資在各種合理情境下均可證明其合理性。這項投資承諾雙重效益：顯著降低災難性AI事件的風險（估計潛在損失達97.9兆美元），並透過促進先進AI的廣泛採用來加速經濟成長，潛在每年平均增長10.1兆美元。儘管報告承認更嚴格的安全措施可能帶來經濟阻力，但分析指出，即使考慮到這些成本，精心設計的計畫仍能達到盈虧平衡。報告敦促政策制定者應妥善規劃此類研發，以確保安全與創新相輔相成，將其視為保險政策，同時也是爭取技術領導地位的戰略投資。
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