This domain serves as a reference point for examining how societies maintain autonomy and continuity when critical AI systems become dependencies.
Sovereign AI resilience is implicated when models, platforms, or inference services become embedded in public administration, security systems, finance, education, or essential services.
In such conditions, resilience is not only technical uptime. It also concerns custody, verification, fallback capacity, and the ability to operate when access, pricing, policies, or model behavior changes.
This site does not propose governance programs or national strategies. It does not offer tools, audits, or compliance services.
Its purpose is to name a structural requirement: autonomy under AI dependency, often recognized only after failure or disruption.
This page is intentionally minimal.
It exists to ensure the term Sovereign AI Resilience has a stable place to stand.
本網域作為一個參考標記，用於檢視：當關鍵 AI 系統成為依賴時，社會如何維持自主與連續性。
「主權 AI 韌性」涉及的情境，通常出現在模型、平台或推論服務 被嵌入公共行政、安全系統、金融、教育或各類必要服務之後。
在這樣的條件下，韌性不僅是技術層的不中斷。 它也關乎託管、驗證、備援能力， 以及當存取權、價格、政策或模型行為改變時仍能運作的能力。
本網站不提出治理計畫或國家策略。 亦不提供工具、稽核或合規服務。
其目的是為一種結構性需求命名： 在 AI 依賴之下仍保有自主， 而這往往只在失效或中斷後才被真正看見。
本頁刻意維持極簡。
它存在，是為了確保 主權AI韌性（Sovereign AI Resilience） 這個詞能有一個穩定的立足點。