Abstract The paradox of self-amendment—can the rule that governs constitutional change itself be changed—exposes democracies to two distinct dangers: dictatorship by rulers who exploit amendment and emergency powers, and corruption by citizens who misuse rights and normalise impunity. Traditional safeguards such as eternity clauses, judicial review and militant democracy either ossify constitutions or remain vulnerable to manipulation and capture. This paper proposes a self-regulating constitutional immune system that embeds automatic, data-driven triggers into the meta-rules of amendment, emergency and representation. A three-domain framework (government, public, resources) is monitored by a fully independent National Statistics and Integrity Commission (NSIC) using multi-source data, AI-assisted aggregation and block-chain-style transparency. When rulers cross thresholds signalling authoritarian drift (for example, repeated high-risk amendments targeting elections or courts), citizens gain extraordinary democratic rights such as simplified recall and mandatory referenda. When citizen-side corruption exceeds statistical limits (for example, sustained CPI decline, tax-to-GDP collapse and opaque funding), the state gains temporary, tightly bounded corrective powers subject to automatic sunset clauses. A half-tenure rule for sensitive amendments and a 60+20 intergenerational renewal cycle add temporal safeguards, ensuring that no single government and no single generation can quietly capture the rules of the game. By treating the constitution as an adaptive immune system—and situating this design within emerging debates on algorithmic and digital constitutionalism—the model reframes and partially resolves the self-amendment paradox without sacrificing democratic flexibility.
PERVEZ DANISH (Mon,) studied this question.
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