The article argues that the post-Cold War era of U.S. unipolarity, established by the perceived invincibility demonstrated during the Gulf War, has ended. This decline is driven by globalization and technological diffusion, which have democratized advanced military capabilities, allowing regional actors to challenge major powers. Consequently, policymakers must prepare for a more volatile international order marked by frequent crises, heightened costs for securing global trade chokepoints, and reduced predictability from American power. The new rules dictate that great powers can no longer effortlessly impose their will through force.
AI and the future of teaching and learning
English Summary
The Brookings analysis argues that generative AI presents a dual challenge to modern education: it is a powerful tool when implemented with thoughtful, narrow design, but its widespread, general use risks diminishing fundamental student learning and development. Key evidence from recent reports highlights the need for careful integration strategies rather than blanket adoption of general-purpose AI tools in classrooms. For policymakers, this implies that educational strategy must shift toward guiding targeted technological implementation to maximize AI's potential as a support mechanism while actively mitigating over-reliance and ensuring core skills are maintained.
中文摘要
布魯金斯的研究分析指出，生成式AI對現代教育構成了雙重挑戰：當其以深思熟慮、有針對性的設計實施時，它是一種強大的工具；但若廣泛且普遍地使用，則可能削弱學生基礎學習和發展。近期報告的關鍵證據強調，教室不應盲目採用通用型AI工具，而必須制定謹慎的整合策略。對於政策制定者而言，這意味著教育戰略必須轉向指導有目標性的技術實施，以最大化AI作為輔助機制潛力，同時積極減輕過度依賴，確保學生核心技能得以維持。
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