From Oversight Theater to Answerable Control: Structural Intelligence and Shared Answerability in Cybernetic Systems

This paper argues that cybernetic and AI-enabled systems require a stronger evaluative standard than stability, optimization, or procedural oversight. As feedback and control architectures increasingly govern human environments, systems can remain coherent and apparently well-regulated while becoming less revisable under consequence. The paper uses Structural Intelligence to distinguish coherent control from answerable control and argues that the relevant failure is not only technical error but structural drift: representation and steering grow faster than answerability, burden internalization, and real witness. It then identifies four recurrent failure regimes—legibility failure, generative coherence failure, structural debt, and oversight theater—and develops shared answerability as the corrective design principle by which machine execution, human witness, and reality-contact trace remain sufficiently bound for contradiction to become correction. The paper’s contribution is to bring consequence-bearing revision into cybernetic and AI governance discourse as an engineering and philosophical requirement rather than a secondary ethical concern.