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.
Shaping global governance of AI agents
English Summary
The rapid acceleration of autonomous AI agents necessitates a fundamental shift in governance, moving beyond static model oversight to dynamic, continuous system control. Because agents combine memory, tools, and external access, the risk profile shifts from what the model says to what the system autonomously does, rendering traditional, stage-based regulatory models insufficient. Policy must therefore focus on highly operational controls, such as defining granular permissions (guardrails) and establishing robust, real-time feedback loops between developers and deployers. Globally, governance strategies must prioritize traceability and accountability to mitigate complex risks like goal misalignment and ensure that regulatory capacity does not create uneven global risk exposure.
中文摘要
自主AI代理（autonomous AI agents）的快速發展，要求治理模式必須進行根本性轉變，從靜態的模型監管轉向動態、持續的系統控制。由於代理結合了記憶、工具和外部存取權限，其風險評估的焦點已從「模型說了什麼」轉變為「系統自主執行了什麼」，這使得傳統的、階段性的監管模式難以應對。因此，政策制定必須著重於高度操作化的控制措施，例如定義細粒度的權限（即「護欄」或「安全限制」），並建立開發者與部署者之間穩健的即時回饋循環。在全球層面，治理策略必須優先考慮可追溯性（traceability）和問責制（accountability），以緩解目標錯位（goal misalignment）等複雜風險，並確保監管能力不會造成全球風險暴露的不均衡。
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