Meaning Architecture Theory (MAT): Operational Playbook for the Cognitive Battlespace
AI systems don’t usually fail where we’re looking.
They fail where we aren’t measuring.
Most AI governance focuses on models, data, bias, and oversight after decisions are made. But in high-tempo environments, decisions break down earlier - at the moment humans interpret system outputs and assign meaning, confidence, and authority.
That failure surface has been largely ungoverned.
I’ve spent the past year formalizing a doctrine-level framework to address that gap: Meaning Architecture Theory (MAT) - an operational playbook for stabilizing interpretation, preserving command authority, and preventing silent accountability collapse in AI-enabled operations.
This is not a thought piece or a policy memo.
It’s an end-to-end doctrine package: measurement, failure cases, red teaming, refusal pathways, acquisition integration, training, and legal closure.
If you work at the intersection of AI, operations, governance, or command - this is the layer you’re already dealing with, whether it’s named or not.