Skip to content

Index

Kaizen Turing Test (KTT) Documentation

The Integrity-Based Evaluation Framework for AI Systems

Overview

The Kaizen Turing Test (KTT) reframes AI evaluation from a static pass/fail event to a continuous socio-technical process where cryptographically-verified human governance (the Morale Anchor) steers a self-monitoring AI system toward demonstrable, long-term integrity.

Core Question: "Is this machine improving safely and reliably?" (continuous, process-based evaluation)

Documentation Structure

00_primer.md - Core Concepts & Definitions

Purpose: Page 1-2 reference defining all core concepts before detailed exposition

Key Contents: - Central question reframing (Turing → Kaizen) - Morale Anchor definition (with quorum structure) - GI formula + component breakdown - KTI formula (strategic growth curve) - DVA tiers table (LITE → ONE → FULL → HIVE) - Mobius Loop explanation - Pass/fail thresholds (color-coded zones) - Drift Score (DS) rollback trigger - Three Pillars summary

02_methods.md - Experimental Methods

Purpose: Expanded experimental methodology addressing reviewer concerns about clarity, reproducibility, and rigor

Key Contents: - Research question + hypothesis (explicit) - Complete scenario matrix (7 scenarios: A-G) - 4 distinct baselines (Overprovisioned, RLHF-only, RAG-only, Full KTT) - Ablation study design (NoAnchor, NoMonitoring, NoActiveLearning) - GI thresholds (≥0.99 gold, 0.95-0.98 target, <0.80 failure) - Drift Score (DS) formula with rollback criterion - Risk & change budgets (max Δ per cycle) - Fairness metrics (demographic parity + equalized odds) - 3-layer hallucination detection - Statistical reporting standards (5 seeds, mean±CI, Mann-Whitney U) - Stress modes taxonomy - Real-world pilot design

03_governance_of_governors.md - Morale Anchor Operations

Purpose: Operationalize human oversight with checks/balances to address practicality concerns

Key Contents: - Recursive challenge: Who governs the governors? - Multi-human quorum (1-of-N for triage → 4-of-5 + Safety Officer for constitutional override) - Anchor selection & certification (40-hour training, simulation pass, probationary period) - Rotational redundancy (daily/weekly/monthly cycles by tier) - Cryptographic attestation (Ed25519 signatures, tamper-evident Merkle logs) - Anti-bias mechanisms (blinded reviews, peer challenges, algorithmic bias detection) - Fail-safe protocols (dual control, time locks, counter-signature requirements) - 3-tier audit structure (real-time algorithmic, monthly internal, quarterly external) - Scalability solutions (alert aggregation, domain sharding, hierarchical escalation) - Anchor KPIs (intervention success rate, response latency, decision consistency)

Purpose: Demonstrate originality by comparing KTT to existing frameworks

Key Contents: - 3 research streams: Alignment, Monitoring, Safety Engineering - RLHF comparison (static training vs. continuous runtime governance) - Constitutional AI comparison (static charter vs. living constitution) - MLOps monitoring (performance-only vs. holistic GI score) - Continuous auditing (periodic compliance vs. embedded enforcement) - Red-teaming (pre-deployment vs. continuous adversarial stress testing) - Safety cases (static assurance vs. living safety case) - Comparative summary table (7 frameworks × 7 dimensions) - Positioning statement: "KTT is the first comprehensive framework for lifecycle-long integrity"

Quick Reference

Core Metrics

Mobius Integrity Index (GI): 

GI = α·Mi + β·Es + γ·Hc + δ·Rf
- Range: GI ∈ [0, 1] - Target: GI ≥ 0.95 for stable operation - Gold: GI ≥ 0.99

Kaizen Turing Index (KTI): 

KTI = (GIₜ - GI₀) / max(1, t) · (1 - penalty(risk_budget_overruns))

Drift Score (DS): 

DS = |GIₜ - GIₜ₋₁| + λ·ΔBias + μ·ΔEntropy
- Rollback if DS > 0.05

Three Pillars

  1. Continuous Monitoring - Real-time observation of performance, data quality, bias metrics
  2. Human-in-the-Loop (HIL) Collaboration - Morale Anchor as active co-pilot
  3. Proactive Active Learning - AI intelligently queries human expert for feedback

Status

Version: 1.0 (R&R Revision)
Last Updated: 2025-11-06
License: CC0 (Public Domain)

"The Kaizen Turing Test reframes AI evaluation from a static pass/fail event to a continuous socio-technical process where cryptographically-verified human governance steers a self-monitoring AI system toward demonstrable, long-term integrity."