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.
AI, Drones, and the Iran War
English Summary
This CFR panel examines how artificial intelligence and autonomous drone systems are fundamentally reshaping modern military conflict, with particular focus on the Iran context. Expert speakers—including former DoD AI leaders and warfare technology specialists—discuss how these technologies are transforming battlefield dynamics and strategic doctrine. The panelists address the critical policy implication: the limits of existing international law and norms in governing AI-enabled autonomous warfare, raising questions about future conflict regulation and deterrence strategies.
中文摘要
該智庫專題討論會探討人工智慧和自主無人機系統如何從根本上重塑現代軍事衝突,並特別聚焦於伊朗情境。專家演講者——包括前國防部AI領袖和戰爭技術專家——討論了這些技術如何改變戰場動態和戰略學說。小組成員探討了關鍵的政策意涵:即現行國際法和規範在規範AI賦能的自主戰爭方面的局限性,並引發了關於未來衝突規範和威懾戰略的深刻疑問。
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