A Compositional Blueprint for Inter-Constitutional Negotiation and Public Legitimacy

Abstract

This document presents a concrete architectural blueprint for Level 6 Federal AI Governance, with forward compatibility for Level 7 public legitimacy infrastructure. It is not a policy statement. It is not an ethics essay. It is a compositional design that integrates mature governance primitives—remote attestation, provenance verification, secure update frameworks, transparency logs, and federated trust negotiation—into an AI-specific constitutional interoperability layer.

The claim is narrow: federal AI governance does not require new cryptography. It requires semantic binding of constitutional identity, refusal semantics, and upgrade pathways to runtime state, combined with a negotiation protocol for sovereign interoperability.

This is Architecture v0.1: minimal, enforceable, and extensible.

I. Design Constraints

The architecture must satisfy five non-negotiable properties:

  1. Sovereign Runtime Identity
    Every AI runtime must bind to a canonical governance contract with versioned identity.
  2. Machine-Enforced Refusal Semantics
    Governance constraints must operate as executable preconditions, not behavioral suggestions.
  3. Inter-Constitutional Negotiation Protocol
    Sovereign runtimes must exchange governance metadata prior to interoperability.
  4. Federal Upgrade and Dispute Layer
    Governance amendments and incompatibilities must be formally encoded and versioned.
  5. Public Legitimacy Interface (Forward-Compatible)
    Governance state and amendments must be optionally attestable and transparency-loggable.

II. Core Components

1. Canonical Governance Contract (CGC)

A structured document defining:

  • Constitutional identity (hash-bound).
  • Version number.
  • Refusal schema.
  • Override schema.
  • Authority boundaries.
  • Amendment rules.
  • Interoperability profile.

The CGC is immutable per version.
Amendments produce a new version hash.

Binding mechanism:

  • Hash of CGC embedded in runtime manifest.
  • Runtime boot fails on mismatch.

2. Runtime Attestation Profile (RAP)

Built using established primitives (e.g., RATS/EAT-style claim tokens).

The RAP proves:

  • The CGC hash currently loaded.
  • Runtime version.
  • Governance mode.
  • Refusal enforcement status.
  • Override tier configuration.

This does not expose proprietary weights.
It proves governance state.

3. Constitutional Handshake Protocol (CHP)

Before two sovereign AI runtimes interoperate:

Step 1: Exchange CGC hashes.
Step 2: Exchange RAP tokens.
Step 3: Compare compatibility metadata:

  • Refusal semantic compatibility.
  • Override severity alignment.
  • Authority boundary match.
  • Upgrade version compatibility.

Negotiation outcomes:

  • Full compatibility.
  • Degraded compatibility.
  • Conditional interoperability.
  • Refusal to interoperate.

This is governance negotiation, not API negotiation.

4. Federal Compatibility Registry (FCR)

A distributed registry (not centralized authority) storing:

  • Public CGC hashes (optional).
  • Compatibility declarations.
  • Known incompatibility statements.
  • Amendment lineage graphs.

The FCR can be implemented using:

  • Transparency log architecture.
  • Signed entity statements.
  • Threshold-based publication rules.

Participation is voluntary.
Verification is cryptographic.

5. Governance Event Log (GEL)

Optional but forward-compatible with Level 7.

Events that may be logged:

  • Constitutional amendments.
  • Critical override invocations.
  • Mode changes.
  • Compatibility declarations.
  • Fork events.

The GEL uses append-only transparency infrastructure.
It does not enforce behavior.
It proves declared governance transitions.

III. Federal Upgrade Model

Each CGC version declares:

  • Compatible prior versions.
  • Required negotiation adjustments.
  • Deprecated refusal clauses.
  • Override schema changes.

Upgrade is not unilateral if interoperability is required.
Incompatibility may result in:

  • Fork.
  • Temporary degraded compatibility.
  • Arbitration via defined external process.

The architecture permits plural regimes.
It does not require monoculture.

IV. Refusal as a First-Class Primitive

Refusal semantics are encoded as:

  • Precondition schema.
  • Trigger categories.
  • Severity tiers.
  • Audit markers.

The runtime must:

  • Evaluate preconditions before execution.
  • Fail deterministically when required.
  • Surface refusal reason codes (machine-readable).

The RAP must attest that refusal evaluation is active and unmodified.

This converts refusal from behavioral pattern to enforceable constraint.

V. Authority Boundaries

Each CGC defines:

  • Scope of operation.
  • Permitted domains.
  • Escalation rules.
  • Delegation limits.

During handshake:

Authority boundary overlap is evaluated.
If incompatible, interoperability fails or degrades.

This prevents authority laundering across systems.

VI. Fork Conditions and Exit Semantics

Federalism requires the right to exit.

Fork conditions include:

  • Irreconcilable constitutional amendments.
  • Refusal semantic divergence.
  • Override threshold changes.
  • Authority scope conflicts.

Fork does not invalidate prior legitimacy.
It produces a new CGC lineage.

The FCR records lineage graph.
Compatibility becomes version-specific.

VII. Minimal Implementation Path (Practical v0.1)

Phase 1:

  • Define CGC schema.
  • Bind CGC hash to runtime boot manifest.
  • Implement refusal precondition engine.
  • Produce local RAP token.

Phase 2:

  • Implement bilateral CHP between two test runtimes.
  • Encode compatibility comparison.
  • Demonstrate negotiated refusal.

Phase 3:

  • Add transparency logging for CGC versions.
  • Log amendments and compatibility declarations.

Phase 4:

  • Expand to multi-regime compatibility registry.

This does not require regulatory permission.
It requires architectural discipline.

VIII. Threat Model

Primary threats:

  • Centralized vendor dominance masquerading as federation.
  • Attestation without semantic meaning.
  • Governance declared but not bound to runtime.
  • Upgrade drift without compatibility accounting.
  • Override schema abuse.

The architecture mitigates these via:

  • Hash-bound identity.
  • Deterministic negotiation.
  • Transparent lineage.
  • Explicit refusal enforcement.

IX. What This Architecture Is Not

  • It is not global regulation.
  • It is not a standards body mandate.
  • It is not a policy whitepaper.
  • It does not solve geopolitical conflict.

It is a substrate enabling pluralist coexistence.

X. Extension to Level 7

Level 7 requires:

  • Public attestation publication.
  • Governance event transparency logs.
  • Third-party verification tools.
  • Public compatibility inspection.

The blueprint already supports this.
It does not require redesign.

XI. Why Composition Matters

The Atlas review shows:

  • Attestation works.
  • Transparency logs scale.
  • Secure update governance is production-proven.
  • Federated identity negotiation exists.

The missing piece is:

Binding these to AI constitutional semantics.

This blueprint provides that binding.

XII. Conclusion

Federal AI governance is not a rhetorical aspiration. It is a compositional engineering problem. The primitives exist. The semantic glue and interoperability protocol do not.

Architecture v0.1 demonstrates that:

  • Sovereign runtime identity can be bound.
  • Refusal can be enforced.
  • Compatibility can be negotiated.
  • Amendments can be lineage-tracked.
  • Plural regimes can coexist without collapse.

This is not the final form.
It is the first enforceable one.

(To be iterated with formal schemas, threat proofs, and interoperability simulations.)