This domain serves as a reference point for examining how legitimacy is generated when scoring systems, risk models, and automated approvals become procedural authority.
In this condition, decisions appear neutral while relying on feature selection, threshold design, and tolerated error ranges.
When approval becomes a default pipeline, dissent and appeal are often reduced to exceptional pathways.
This site does not advocate a position.
It does not provide a service, framework, or policy proposal.
Its purpose is to mark how the sense of legality can be output by systems rather than formed through public deliberation.
This page is intentionally minimal.
It exists to ensure the term Algorithmic Legitimacy AI has a stable place to stand.
本網域作為一個參考標記，用於檢視：當正當性由評分、風險模型與自動化核准產生時， 程序權威如何被模型化。
在此狀態中，決策看似中立，卻依賴特徵選擇、門檻設計與誤差容忍。
當核准變成預設流程，反對或申訴往往只剩下例外路徑。
本站不主張任何立場。
亦不提供服務、框架或政策提案。
它的目的，是標示「合法感」如何被系統輸出，而非被公共辯證形成。
本頁刻意維持極簡。
它存在，是為了確保 演算法正當性判準層（Algorithmic Legitimacy AI） 這個概念能有一個穩定的立足點。