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.
A Presumption of Privacy for Ordinary AI Use
English Summary
The article argues against broad Know-Your-Customer (KYC) mandates for general AI use, warning that such requirements risk stifling innovation and creating significant privacy vulnerabilities. The author cites historical failures in the banking sector and notes the difficulty in drawing clear lines between routine and 'risky' AI activity, suggesting that mandatory data collection would create searchable 'honeypots' of sensitive information. Instead of KYC, the policy analysis advocates for alternative risk mitigation strategies, such as increased penalties for crimes, bolstering existing enforcement capabilities, and promoting cybersecurity best practices. Policymakers should prioritize testing these less intrusive alternatives before implementing sweeping data mandates that could chill research and restrict free speech.
中文摘要
本文主張，不應對一般人工智慧（AI）使用實施廣泛的「了解你的客戶」（KYC）強制規定，警告稱此類要求有扼殺創新並造成重大隱私漏洞的風險。作者援引了銀行業的歷史失敗案例，並指出難以在日常與「高風險」AI活動之間劃清界線，建議強制性數據收集將會建立可被搜尋的敏感資訊「蜜罐」。因此，該政策分析主張採用替代性的風險緩解策略，而非KYC。這些替代方案包括提高犯罪的懲罰力度、加強現有的執法能力，以及推動網路安全最佳實踐。政策制定者應優先測試這些侵入性較低的替代方案，而非立即實施可能壓抑研究和限制言論自由的全面數據強制規定。
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