corrigibility-assess

name	corrigibility-assess
description	Evaluate digital and AI infrastructure against the five corrigibility tests (EXIT, CODE, AUDIT, GOVERN, FORK). Use when assessing DPI systems (identity, payments, registries) or EPI systems (AI/ML in public services) for structural corrigibility.
license	CC0
metadata	{"author":"anivar","version":"3.0.0"}

Corrigibility Assessment

Evaluate infrastructure against five structural tests derived from cybernetics (Ashby), commons governance (Ostrom), and free software (Stallman). A system is corrigible only if ALL five tests pass.

When to Apply

Reference these guidelines when:

• Assessing DPI systems (identity, payments, data exchange, registries)
• Evaluating EPI systems (AI/ML in public services)
• Creating an audit.json assessment document
• Verifying operator claims in infrastructure.json
• Analyzing layer-by-layer corrigibility

Rule Categories by Priority

Priority	Category	Scope	Prefix
1	Core Tests	Both DPI/EPI	test-
2	Layer Analysis	Both DPI/EPI	layer-
3	EPI Extensions	EPI only	varies

Quick Reference

1. Core Tests (Both DPI and EPI)

• test-exit - Penalty severity, FEE (Functional Exit Equivalence), human fallback
• test-code - Source inspection, open license, LWD-R for EPI systems
• test-audit - Verification depth (presence, behavior, proof), independent access
• test-govern - Grievance vs binding mechanisms, post-execution fallacy
• test-fork - Constructed vs natural barriers, swapability

2. Layer Analysis

• layer-decomposition - Propagation rule, weakest-layer principle

3. EPI Extensions

• variety-drift - Temporal drift Δ(t), revalidation threshold τ
• action-boundary - GDoS prevention, deterministic envelope

The Five Tests

Test	Question	Control Function
EXIT	Can users leave without penalty?	Error Signal
CODE	Is source code inspectable?	Transmission Clarity
AUDIT	Can independents verify?	Sensor
GOVERN	Do communities have binding input?	Actuator
FORK	Can system be replicated?	Selection Pressure

Conjunctive Requirement

Corrigibility = EXIT ∧ CODE ∧ AUDIT ∧ GOVERN ∧ FORK

Failure of ANY test = Structurally Incorrigible

EPI Tier Classification

Tier	Use Cases	Requirements
trivial	Translation, summarization	Action boundaries
decision_support	RAG over government data	Open weights, local data
high_stakes	Welfare, policing, judicial	Full LWD-R, human-in-loop

Output Format

Assessment produces audit.json following Protocol 3.0. The five booleans live under tests; the corrigibility verdict is a derived determination block (paper §A.2 Claim 2):

{
  "protocol_version": "3.0",
  "tests": {
    "EXIT": true,
    "CODE": false,
    "AUDIT": true,
    "GOVERN": false,
    "FORK": false
  },
  "determination": {
    "corrigible": false,
    "computed_from": "tests",
    "computed_at": "2026-02-15T10:30:00Z"
  },
  "findings": [
    {
      "test": "CODE",
      "finding": "Implementation proprietary despite open spec",
      "severity": "critical"
    }
  ]
}

How to Use

Read individual rule files for detailed evaluation criteria:

rules/test-exit.md
rules/test-code.md
rules/test-audit.md
rules/test-govern.md
rules/test-fork.md
rules/layer-decomposition.md
rules/variety-drift.md
rules/action-boundary.md

Each rule file contains:

• Theoretical foundation
• Schema fields to verify
• Pass/fail criteria
• DPI and EPI variations

Full Reference

For complete expanded guide: AGENTS.md

References

• Ashby, W.R. (1956). Introduction to Cybernetics
• Hirschman, A.O. (1970). Exit, Voice, and Loyalty
• Ostrom, E. (1990). Governing the Commons
• Aravind, A. (2025). Corrigibility Framework