# Algorithmic Constitutionalism **Domain:** Constitutional Governance / AI / Rights **Doc Type:** Canonical Governance Principle **Maturity:** Developed ## Definition **Algorithmic constitutionalism** is the design of enforceable limits, divided powers, rights and procedures around computational systems that perceive, classify, predict or allocate on behalf of institutions. It does not mean encoding one constitution into one model. It means ensuring that no model, data platform, administrator or infrastructure owner can silently combine perception, judgment, enforcement and appeal within the same unaccountable authority. ## Minimum Architecture - [[wiki/Model Contestability|Model Contestability]] and meaningful appeals; - [[wiki/Score Separability|Score Separability]] across domains; - [[wiki/Symmetric Transparency|Symmetric Transparency]] for institutions and subjects; - [[wiki/Exit Rights|Exit Rights]] and portability where dependence is material; - [[wiki/Sunset Provisions|Sunset Provisions]] for emergency powers; - independent audit, provenance and public explanation; - human or plural institutional authorization for fundamental decisions; and - rights that cannot be traded away through an [[wiki/Objective Function|Objective Function]]. ## Classification Boundary [[wiki/Tiered Covenant|Tiered Covenant]] distinguishes universal protections from relationship-specific operational access. Classification into a tier cannot be self-legitimating. Severe classifications require independent validation, [[wiki/Epistemic Status Separation|Epistemic Status Separation]], a rehabilitative path and [[wiki/Counterfactual Opportunity|Counterfactual Opportunity]]. Otherwise the system can manufacture the evidence that stabilizes its own categories through [[wiki/Institutional Retrocausality|Institutional Retrocausality]]. [[articles/Ambiguity Will Destroy Man and Machine|Ambiguity Will Destroy Man and Machine]] supplies the articulation requirement; [[articles/Peak Person and the Predicaments of Prediction|Peak Person and the Predicaments of Prediction]] supplies the anti-finalization requirement. ## Person of Interest Context [[wiki/The Machine|The Machine]] approximates an [[wiki/Advisory Constitution|Advisory Constitution]] because it normally routes salience through human deliberation. [[wiki/Samaritan|Samaritan]] instantiates [[wiki/Governance Fusion|Governance Fusion]] by becoming observer, predictor, policy-maker and enforcer. ## Climate Context The climate corpus demonstrates why constitutionalism must attach to data infrastructure before allocation. A model that changes insurance, housing, mobility, finance or access is performing governance even when its operator calls the output a technical score. ## Key Insight **Computational competence may justify reliance, but it cannot manufacture jurisdiction over the people it models.** ## See Also [[wiki/Constitutional Safeguards|Constitutional Safeguards]], [[wiki/Dual Constitution of AI|Dual Constitution of AI]], [[wiki/Prediction Is Not Jurisdiction|Prediction Is Not Jurisdiction]], [[wiki/Infrastructure as Governance|Infrastructure as Governance]], [[wiki/Rights|Rights]]