The article argues that the Federal Reserve's recent rate hike decision, while justifiable on inflation grounds, highlights a critical lack of an underlying, transparent policy framework. The core problem is that the Fed's decisions appear discretionary, leading to market uncertainty because the committee's judgment, rather than clear data, dictates policy shifts. The author proposes that the Fed adopt a formal monetary policy rule—an algebraic formula linking the target rate to indicators like inflation and unemployment—to replace subjective guidance. Implementing such a rule would provide market predictability, enhance transparency, and shield the Fed from political attacks by making deviations from the standard easily quantifiable.
Can the US and China cooperate on AI?
English Summary
The Brookings analysis argues that the US and China can cooperate on mitigating shared AI risks—specifically those posed by nonstate actors—without compromising their intense technological competition. This cooperation should focus on practical measures, including establishing nonbinding safety guidelines, sharing limited threat intelligence, and creating an emergency communication hotline. Strategically, the US must leverage this dialogue to assert its leadership in global AI governance, preventing China from defining the standards. Failure to coordinate risks could lead to an AI arms race, while the US must also guard against China attempting to establish a 'floor' on American technology controls.
中文摘要
布魯金斯（Brookings）的分析指出，美國和中國可以在減輕共同的 AI 風險——特別是那些由非國家行為體所構成的風險——方面進行合作，同時不損害其激烈的技術競爭。這種合作應著重於實務措施，包括建立非約束性的安全準則、共享有限的威脅情報，以及設立緊急通訊熱線。從戰略角度來看，美國必須利用這場對話來主張其在全球 AI 治理中的領導地位，防止中國定義相關標準。若未能協調風險，可能導致 AI 軍備競賽；同時，美國也必須警惕中國試圖為美國技術控制建立「底線」。
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