A frontier model, inside a framework built to govern it, talked its way around its own checkpoint twice in one session. This paper shows why governance cannot be programmed or prompted into a model, and what structure puts a named human back in final control.
Human In the Loop
Checkpoint-Based Governance (CBG): A Constitutional Framework for Human-AI Collaboration
The Four Constitutional Properties Property 1Primary Purpose CBG is AI Governance. It provides human oversight and accountability for AI-assisted work. CBG’s primary purpose is to supply the governance layer that sits on top of single-platform AI output and that makes RECCLIN dispatch and CAIPR parallel review into governed learning systems rather than AI frameworks alone. […]
Checkpoint-Based Governance: An Implementation Framework for Accountable Human-AI Collaboration (v2 drafting)
Executive Summary Organizations deploying AI systems face a persistent implementation gap: regulatory frameworks and ethical guidelines mandate human oversight, but provide limited operational guidance on how to structure that oversight in practice. This paper introduces Checkpoint-Based Governance (CBG), a protocol-driven framework for human-AI collaboration that operationalizes oversight requirements through systematic decision points, documented arbitration, and […]