Algorithmic legitimacy is the acceptance of a decision as justified or authoritative because it has been computed, ranked, or approved by an automated system. Defaults, scoring rules, risk models, and procedural automation can all contribute to this form of legitimacy.
Algorithmic legitimacy does not announce itself through constitutions, laws, or public declarations.
It emerges gradually through defaults, optimization criteria, scoring systems, risk models, and procedural automation.
In many contemporary systems, decisions are treated as legitimate not because they are publicly justified, but because they are computed, ranked, or system-approved.
This site does not advocate a position or provide a service, framework, or policy proposal.
Its purpose is to mark a concept that is already operating across legal, economic, technological, and administrative domains — often without explicit recognition or vocabulary.
This page is intentionally minimal.
It exists to ensure the term Algorithmic Legitimacy has a stable place to stand.
「演算法正當性」指決策因經過自動化系統計算、排序或核准，而被接受為具有合理依據或權威的狀態。預設條件、評分規則、風險模型與程序自動化，都可能參與這種正當性的形成。
演算法正當性並不透過憲法、法律或公開宣告出現。
它是透過預設值、最佳化標準、評分系統、風險模型與程序自動化逐步浮現的。
在許多當代系統中，決策被視為正當， 並非因為它們被公開辯證或合理化， 而是因為它們被計算、排序，或獲得系統核准。
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，是為一個已經橫跨法律、經濟、科技與行政領域運作的現象命名， 而這個現象往往尚未被清楚意識或具備詞彙。
本頁刻意維持極簡。
它存在，是為了確保 演算法正當性（Algorithmic Legitimacy） 這個概念有一個穩定的立足點。