The article argues that recent executive overreach and politicization have severely undermined established norms of U.S. civil-military relations. To restore professional standards, the incoming Congress must actively exercise its oversight powers, moving beyond mere criticism to demanding transparency in defense policy and personnel decisions. Key reforms include enforcing meritocratic promotion processes, requiring documented justification for senior officer removals, and preventing the partisan use of the military. These actions are crucial for bolstering public trust and ensuring the military remains a nonpartisan instrument of civilian control.
Could AI help communities navigate complex challenges like the US data center boom?
English Summary
The article argues that generative AI can significantly enhance community problem-solving, offering a solution to the non-inclusive decision-making inherent in large-scale developments like the data center boom. AI functions as a powerful facilitator, synthesizing vast, diverse community input to navigate the complex, multi-phase process of surfacing, aligning, implementing, and learning (SAIL). For AI to successfully augment civic agency, however, the technology must be designed to support human collaboration, not replace it, and must be governed locally. Policy strategies must therefore prioritize the development of open-source, community-owned AI tools that support holistic, multi-issue governance while ensuring local control over data and decision-making infrastructure.
中文摘要
本文論述生成式人工智慧（AI）能顯著提升社區問題解決能力，為大型發展項目（如資料中心熱潮）中固有的非包容性決策制定提供解決方案。AI可作為強大的促進者，綜合處理龐大且多元的社區輸入，以應對複雜的、多階段的「浮現、協調、實施與學習」（SAIL）流程。然而，若要讓AI成功增強公民能動性，該技術必須設計為支持人類協作而非取代協作，並且必須由地方層面進行治理。因此，政策策略必須優先發展開源、社區擁有的人工智慧工具，以支持全面、多議題的治理，同時確保地方對數據和決策基礎設施的控制權。
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