Current - Issue

This paper proposes Techno-Democracy as a constitutional model in which citizens retain political sovereignty while specified governmental processes are progressively delegated to transparent, independently audited artificial intelligence systems. Its defining composition is popular sovereignty, constitutional democracy, AI administration, cryptographic verification, distributed oversight, and human-rights safeguards. The motivating problem is institutional dependence on concentrated, weakly accountable discretion, which can enable corruption, nepotism, capture, inconsistency, and administrative delay. The argument does not presume universal human corruption or machine neutrality. Using conceptual analysis, a targeted interdisciplinary literature synthesis, and design-oriented institutional reasoning, the paper develops an architecture that separates authority over objectives, data, models, deployment, execution, auditing, and redress. Nine concepts organize the proposal: Computational Constitutionalism, Algorithmic Separation of Powers, Verifiable Bounded Impartiality, Proof-of-Governance, Policy Provenance, Adversarial Governance Models, Algorithmic Federalism, Continuous Democratic Audit, and Evidence-Triggered Legislative Review. Constitutional constraints limit computational action without reducing constitutional interpretation to code. Cryptographic records establish bounded claims about provenance and integrity, without certifying the truth of inputs or the justice of outcomes. A central adversarial analysis shows how the same architecture could facilitate surveillance, infrastructural dependency, automated exclusion, or authoritarian capture. The proposed response combines limited delegation, institutional plurality, contestable decisions, protected human adjudication, public research access, and operational reversibility. A staged transition and preregistrable experimental programme specify how benefits and harms could be evaluated against competent human administration and simpler digital alternatives. No original experiments or deployment results are reported. The contribution is an integrated, falsifiable institutional proposal whose political principle is that AI governs processes while people govern values.