Work

A Constrained Control Architecture for AI Alignment, Continuity Reconstruction, and Deterministic Audit Logging

Year: 2026

Type: article

Abstract: This paper presents a technical architecture for AI alignment modeled as a constrained control system. The framework separates unconstrained reasoning, safety projection, continuity reconstruction, and deterministic audit logging into distinct layers. We define alignment-induced distortion using divergence between raw and constrained output distributions, introduce a continuity reconstruction model for preserving lineage and revision state, and specify a deterministic consensus ledger for reproducible system auditing. The result is a modular architecture for long-horizon AI governance under constraint, revision, and verification pressure.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20103909

Authors: Cisneros, Alexander Jorge, Scott, Ryan

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7160759547

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