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The Generation-Governance Impedance Mismatch: Protocol-Governed Systems in the AI Era

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI

Abstract

The increasing adoption of generative artificial intelligence (AI) in software development introduces a structural asymmetry: implementation generation now occurs at machine speed, while behavioral governance remains constrained by institutional deliberation. These processes are not merely mismatched in velocity; they are orthogonal in function. Generation produces executable artifacts. Governance establishes permissible behavior. This paper formalizes the generation-governance impedance mismatch as a structural property of AI-accelerated systems. We argue that conventional governance mechanisms—code review, testing, and audit processes—operate at the implementation layer and therefore cannot scale to match machine-speed generation without structural reform.

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