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.
AI Chatbots Could Lend Influence Campaigns New Credibility
English Summary
Foreign influence operations are increasingly leveraging AI chatbots, which function as a powerful distribution method, to lend new credibility to malign disinformation. The article highlights that major LLMs repeating false claims—as seen in the Talarico case—give fabricated content the perceived authority of an established answer, allowing foreign actors to 'launder' their influence. This poses a significant challenge because chatbots are prone to absorbing and repeating falsehoods during 'data voids' (periods of breaking news lacking authoritative rebuttal). Policymakers and tech companies must mandate that AI platforms implement robust safeguards to flag content that is thinly sourced or lacks verifiable context, particularly in the run-up to high-stakes elections.
中文摘要
外部影響行動正日益利用 AI 聊天機器人，將其作為強大的傳播管道，為惡意虛假資訊賦予新的可信度。本文指出，大型語言模型（LLMs）重複虛假主張——正如在 Talarico 案例中所見——會讓捏造的內容獲得既定答案的權威感，使外國行為者得以「洗白」其影響力。這構成了一項重大挑戰，因為聊天機器人容易在「資訊真空期」（即缺乏權威反駁的突發新聞期間）吸收並重複虛假訊息。政策制定者和科技公司必須強制要求 AI 平台實施強健的保障措施，標記那些來源薄弱或缺乏可驗證背景的內容，特別是在高風險選舉前夕。
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