The Chinese Exclusion Act is widely remembered as a symbol of racial discrimination in American history. But why did it become federal law in 1882? This article examines the economic transformation, labor competition, political mobilization, and diplomatic negotiations that ultimately led the United States to adopt the Chinese Exclusion Act.
Category Archives: 政策与制度 / Policy & Institutions
別讓AI的「大腦」，燒乾居民的生活：數據中心擴張必須守住的三條紅線
AI 的競爭，最終也是電力、水資源與公共治理的競爭。當數據中心愈來愈靠近城市與社區，如何在支持科技創新與維護居民生活品質之間取得平衡，將成為地方政府無法迴避的新課題。本文從電網、水資源與噪音管理三個面向，探討 AI 基礎設施應建立哪些基本治理原則。
别让AI的“大脑”，烧干居民的生活：数据中心扩张必须守住的三条红线
人工智能的发展离不开数据中心，而数据中心的发展也越来越直接影响居民的电力、水资源与生活环境。面对快速扩张的 AI 基础设施，地方政府应如何在支持创新与保障社区生活品质之间取得平衡？本文提出电网成本、水资源管理与噪音控制三项值得优先建立的监管原则。
Don’t Let AI’s “Brain” Drain Human Lives: Three Red Lines the Expansion of Data Centers Must Not Cross
AI depends on data centers, but data centers increasingly shape the communities around them. As AI infrastructure expands, local governments face the challenge of balancing technological innovation with residents’ quality of life. This article argues that electricity costs, water use, and noise control should become three essential principles for future regulation.
當公共議題越來越專業，普通居民還能參與嗎？
當公共議題越來越依賴專業知識，民主治理正面臨新的挑戰。本文探討 AI 時代公眾如何理解複雜政策、參與公共決策，以及地方政府如何讓公共治理保持透明、開放與可參與。
当公共议题越来越专业，普通居民还能参与吗？
当公共议题越来越依赖专业知识，民主治理面临新的挑战。本文探讨 AI 时代公众如何理解复杂政策、参与公共决策，以及地方政府如何让公共治理保持透明、开放与可参与。
When Public Issues Become Increasingly Technical, Can Ordinary Citizens Still Participate?
As public policy becomes increasingly dependent on specialized knowledge, democratic governance faces new challenges. This article explores how citizens can continue to participate in complex public decisions—and how governments can keep governance transparent, understandable, and genuinely participatory in the age of AI.
誰來支付 AI 基礎設施的成本？
當 AI 基礎設施快速擴張，真正值得討論的已不只是技術，而是成本如何分擔。本文探討資料中心、電網升級與公共投資之間的關係，以及誰應該為 AI 時代的新基礎設施買單。
谁来支付 AI 基础设施的成本？
当 AI 基础设施快速扩张，真正值得讨论的已不仅是技术，而是成本如何分担。本文探讨数据中心、电网升级与公共投资之间的关系，以及谁应该为 AI 时代的新基础设施买单。
Who Should Pay for AI Infrastructure?
As AI infrastructure expands rapidly, the central question is no longer technology alone but how its costs should be shared. This article examines the relationship between data centers, grid upgrades, and public investment—and asks who should ultimately pay for the infrastructure of the AI era.
