Alignment Protocol v3.0: Defining Legal Admission Semantics for AI-Controlled Systems

Alignment Protocol v3.0 is the first formal admission protocol defined under EDCA Admission Protocols.

It does not describe how models reason.

It does not guide behavior or outcomes.

It defines whether a human claim may enter an AI-controlled system at all.

Admission as a First-Class Concept

Alignment Protocol v3.0 treats admission as a distinct, mandatory stage.

A claim must pass admission before:

reasoning,

decision-making,

or execution.

If admission fails, the system must stop.

Protocol Lifecycle

The protocol defines four mandatory stages:

Boot

Determines whether a valid admission attempt exists.

Instantiation

Converts a claim into a decidable, auditable instance.

Runtime

Allows only instantiated claims to proceed under declared constraints.

Failure Semantics

Treats failure as a valid, explicit outcome.

Each stage is independently terminable.

Design Principles

Alignment Protocol v3.0 enforces several constraints:

admission precedes intelligence,

rejection is a first-class result,

failure is semantic, not exceptional,

implicit context is forbidden,

every admitted claim must be traceable.

These principles apply regardless of model choice.

Position in the System

Alignment Protocol v3.0 operates at the Admission Layer.

In consumer-facing systems, it applies at the expression input boundary.

In enterprise systems, it is enforced at the semantic engine or mediation layer.

The control core does not directly interact with humans or raw data.

The protocol defines entry contracts, not internal behavior.

Protocol Family

Alignment Protocol v3.0 serves as the reference template for future admission protocols, including:

Data Admission Protocol

Device Admission Protocol

Model Admission Protocol

Platform Admission Protocol

All protocols share explicit admission and failure semantics.

Repository

GitHub (specification):

https://github.com/yuer-dsl/edca-admission-protocols