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.
Can we slow down AI without losing to China?
English Summary
The Brookings analysis argues that AI risks are dual-layered, encompassing immediate threats from autonomous agents and misuse (e.g., cyberattacks) alongside long-term, existential concerns regarding loss of human control. Experts caution that the current pace of development is outpacing safety protocols, necessitating mandatory government regulation rather than relying solely on industry self-governance. Policy must therefore prioritize establishing rigorous measurement systems and safety standards to monitor warning signs, manage the alignment problem, and ensure AI's safe integration into critical infrastructure while maintaining technological leadership in the global race.
中文摘要
布魯金斯學派的分析指出，人工智慧的風險是雙層面的，涵蓋了來自自主代理人及濫用（例如網路攻擊）的即時威脅，以及關於失去人類控制的長期存在性擔憂。專家們警告，目前的發展速度已超越了安全協議，因此有必要實施強制性的政府監管，而非僅依賴產業的自我治理。政策制定必須優先建立嚴謹的衡量系統和安全標準，以監測警訊、管理「對齊問題」（alignment problem），並確保AI能夠安全地整合到關鍵基礎設施中，同時維持在全球技術競賽中的領導地位。
Related Entries
-
1.
-
2.
The article argues that Donald Trump's unique and prolonged lame-duck period, coupled with domestic political pressures, makes him dangerously prone to international instability. Having exhausted major diplomatic gambits, Trump is expected to channel his energy into high-stakes, unilateral actions, primarily targeting adversaries such as Iran and Cuba. These potential actions—ranging from fresh strikes in the Persian Gulf to attempts at regime change—carry a significant risk of destabilizing regional security and triggering a global economic crisis. Policymakers must anticipate this pivot to high-risk foreign policy to mitigate potential international flare-ups.
-
3.
China's economic strategy is characterized by a persistent 'economics of denial,' prioritizing massive state-directed investment in advanced technology over addressing weak domestic consumption. This approach is rooted in a flawed belief that controlling physical capital will automatically generate productivity and wage growth, ignoring the structural imbalance where domestic demand consistently falls short of supply. This overinvestment and underconsumption model is unsustainable. Consequently, Beijing's policies will continue to generate global deflationary pressures and escalating trade friction, necessitating a fundamental pivot toward consumption-led growth for long-term stability.
-
4.
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.
-
5.
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.