美國政府停擺期間裁員風波持續延燒，根據多家媒體報導，美國疾管署（CDC）多個部門誤收到裁員通知，事後被官方證實是「程式碼錯誤（coding error）」導致，引發外界對政府內部資訊系統安全與管理流程的質疑。
700 多人誤收裁員信
根據美國衛生與公共服務部（HHS）官員說法，10 月上旬 CDC 內部約 1,300 名員工收到裁員通知，但後續確認其中 700 多人是因為程式錯誤導致誤發通知，主要集中在：
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MMWR 科學期刊編輯部門
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全球傳染病應變組（包含伊波拉與麻疹防疫）
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疫情偵查小組與實驗室單位
這些單位都是 CDC 長年運作的核心戰力，一度傳出整個部門幾乎「全數收到解雇信」，在內部與外界均引起恐慌。
「程式錯誤」到底怎麼發生的？
雖然 HHS 尚未詳細公開錯誤機制，但根據內部文件與匿名官員向外媒《Politico》透露，這次是來自於自動化人事管理系統中，錯誤判讀人事條件或員工分類標籤（tag）設定失誤，導致批次通知寄出錯誤。
簡單來說，程式可能依據：
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任職年資
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工作地點
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職務類型（Contractor vs. FTE）
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最近考績紀錄
自動篩選出裁撤對象，但因程式邏輯未考慮特定例外條件（如疫情期間保留人力、專案延長），導致誤傷。
科技顧問指出，雖然自動化流程是為了提升效率，但像這種攸關公衛單位命脈的裁員通知，應設有人為審核與多重驗證機制。
「政府資訊系統若過度仰賴自動決策，又缺乏透明稽核流程，一個小小的程式碼錯誤，就可能變成社會性災難。」— 美國布魯金斯研究院公共科技顧問 James Hsu
這類錯誤也凸顯出政府導入資訊系統或AI決策前，必須建立明確的 accountability（責任機制）與 fail-safe（安全機制）設計，避免「技術問題變成制度崩潰」。
CDC 誤裁風波雖暫時平息，但「程式碼錯誤」四個字讓全球對公共資訊系統的信任出現裂痕。對台灣各級政府與公私單位而言，這不只是美國的錯，而是所有推動數位轉型的組織，必須嚴肅面對的警鐘。
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