Commons Scientific Paper – Volume 3

In governance architectures for emergent AI systems, accountability and traceability are foundational requirements. This paper introduces an immutable audit architecture built on hash-chained sidecars, designed to provide tamper-evident logging of AI decisions and capability elevations. We describe design patterns, cryptographic processes, system deployments, and field-ready implementation using modern open-source tooling. The result: a deployable Audit-Sidecar Framework (ASF v1.0) that meets today’s reliability and ethical standards.