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.
Will AI in education succeed?
English Summary
The Brookings report argues that the success of AI in education is not determined by the technology itself, but by robust underlying support systems. Evidence from past EdTech rollouts shows that for AI to succeed, it must function as a complement to—not a replacement for—human teachers, and deployment requires reliable infrastructure (connectivity, power) and teacher capacity. Policy implications stress moving beyond input metrics toward evidence-based reforms; thus, AI's immediate value may lie in institutional support tasks (e.g., administration), while policymakers must prioritize building local decision-making capacity and achieving stakeholder consensus on the core purpose of education.
中文摘要
布魯金斯報告指出，人工智慧在教育中的成功並非由技術本身決定，而是取決於穩固的基礎支持系統。過去的教育科技推行經驗顯示，若要讓AI取得成效，它必須作為人類教師的補充而非替代品；同時，部署亦要求可靠的基礎設施（如連線和電力）以及提升教師的能力。政策上的啟示強調，改革應超越單純的投入指標，轉向循證模式；因此，AI的即時價值可能體現在機構支持任務（例如行政管理），而政策制定者必須優先建立地方決策能力，並就教育的核心目的達成所有利害關係人的共識。
Related Entries
-
1.
-
2.
The publication argues that current efforts to improve the well-being of men and boys of color are too fragmented, failing to account for the structural linkages between systems like education, employment, and criminal justice. It proposes a new, holistic framework that traces how structural conditions flow through multiple domains to measurable outcomes, such as longevity. Key reasoning emphasizes the need to treat 'place' as a fundamental actor and to identify successful communities where these populations are already thriving. Policy implications require shifting away from individual-focused interventions toward developing structural, place-based agendas that address systemic inequities.
-
3.
The Blue Wave signals significant voter frustration with cost of living and inflation, giving Congress a mandate to prioritize affordability and cost-reduction measures. Economically, the rapid build-out of AI data centers is creating localized stress, driving up skilled labor wages and straining resources, while also facing constraints from power grids and potential local regulatory backlash. Policymakers must manage this 'sequencing issue'—addressing rising costs before full productivity gains from AI can materialize—and anticipate shifts in global data center infrastructure as the market matures.
-
4.
The built environment workforce, comprising 15.3 million workers across 95 occupations, is foundational to modern infrastructure and economic stability. While highly paid, the workforce suffers from significant demographic imbalances, being disproportionately white and male, and often lacking clear career progression pathways. To prevent project delays and cost overruns, policy must mandate that capital asset owners treat labor market forecasting as core to project planning. Strategic interventions are required to strengthen career pipelines through robust apprenticeships, improve retention, and actively recruit younger and more diverse workers.
-
5.
The U.S. is drastically reducing core funding to multilateral institutions, withdrawing from numerous bodies due to perceived misalignment with national interests. While multilateral channels offer critical advantages—such as pooling resources for global public goods and managing risk in fragile settings—the U.S.'s funding remains heavily 'earmarked,' which effectively 'bilateralizes' the system and undermines shared burden-sharing. This practice, coupled with deep cuts, diminishes the multilateral system's effectiveness and efficiency, particularly in humanitarian aid. Policy recommendations suggest the U.S. must adopt a systematic, published strategy for aid channel choice and shift from restrictive project-level earmarking to broader thematic funding to restore global cooperation.