{esc(str(obj))}
" + rows = [] + for k, v in obj.items(): + if isinstance(v, list): + v = ", ".join(str(x) for x in v) + elif isinstance(v, dict): + v = json.dumps(v, ensure_ascii=False) + rows.append(f"| {esc(headers[0])} | {esc(headers[1])} |
|---|
{esc(json.dumps(v, ensure_ascii=False))[:160]}End-to-end analytical framework integrating enterprise AI governance (2026-2030) with frontier AGI/ASI controls, global treaty-level interoperability, civilizational constitution & covenant codex, and a terminal governance attractor aligning memory, meaning, action, and legitimacy under partial compliance. Aligned with NIST AI RMF, ISO/IEC 42001, EU AI Act, GDPR, SR 11-7 and sector model-risk standards.
+ +{esc(DATA['executiveSummary'])}
+{esc(sec['content'])}
") + + # M1 principles + if "principles" in sec: + cards = [] + for p in sec["principles"]: + cites = ", ".join(p.get("citations", [])) + cards.append(f"""{esc(str(tpl))}")
+
+ # M3 submission manifest / workflow / instruments
+ for key, label in [("manifest", "Manifest"), ("steps", "Workflow Steps"),
+ ("instruments", "Compliance Instruments")]:
+ if key in sec:
+ items = sec[key]
+ if isinstance(items, list) and items and isinstance(items[0], dict):
+ # pick first few keys
+ keys = list(items[0].keys())[:5]
+ parts.append(render_dict_list(items, [(k, k.title()) for k in keys]))
+ elif isinstance(items, list):
+ parts.append(render_list(items))
+
+ # M4 KSVP protocol / targets
+ if "protocol" in sec:
+ p = sec["protocol"]
+ if isinstance(p, list) and p and isinstance(p[0], dict):
+ keys = list(p[0].keys())[:5]
+ parts.append(render_dict_list(p, [(k, k.title()) for k in keys]))
+ elif isinstance(p, dict):
+ parts.append(render_kv_table(p))
+ if "targets" in sec:
+ parts.append(render_kv_table(sec["targets"], ("Metric", "Target")))
+
+ # M4 SARSP components / scenarios
+ if "components" in sec and isinstance(sec["components"], list):
+ if sec["components"] and isinstance(sec["components"][0], dict):
+ keys = list(sec["components"][0].keys())[:4]
+ parts.append(render_dict_list(sec["components"], [(k, k.title()) for k in keys]))
+ else:
+ parts.append(render_list(sec["components"]))
+ if "scenarios" in sec:
+ parts.append(render_dict_list(sec["scenarios"],
+ [("id", "ID"), ("name", "Scenario"), ("trigger", "Trigger"),
+ ("impact", "Impact"), ("response", "Response")]))
+
+ # M4 mechanisms
+ if "mechanisms" in sec and isinstance(sec["mechanisms"], list):
+ if sec["mechanisms"] and isinstance(sec["mechanisms"][0], dict):
+ keys = list(sec["mechanisms"][0].keys())[:5]
+ parts.append(render_dict_list(sec["mechanisms"], [(k, k.title()) for k in keys]))
+ else:
+ parts.append(render_list(sec["mechanisms"]))
+
+ # M5 interop layers / equivalence
+ if "layers" in sec and isinstance(sec["layers"], list):
+ if sec["layers"] and isinstance(sec["layers"][0], dict):
+ keys = list(sec["layers"][0].keys())[:5]
+ parts.append(render_dict_list(sec["layers"], [(k, k.title()) for k in keys]))
+ else:
+ parts.append(render_list(sec["layers"]))
+ if "equivalenceCertificate" in sec:
+ parts.append('{esc(s)}
") + if "succession" in sec: + s = sec["succession"] + if isinstance(s, list): + parts.append(render_list(s)) + elif isinstance(s, dict): + parts.append(render_kv_table(s)) + + return "\n".join(parts) + + +def render_module(mod_key, module_num, badge_cls="bg-purple"): + """Render a whole module as a{esc(mod.get('summary',''))}
"""] + + for sec in mod.get("sections", []): + body = render_section_body(sec) + parts.append(f"""{esc(p.get('purpose',''))}
+{comp} +{esc(arch.get('description',''))}
+{esc(idx.get('description',''))}
+Inputs:
+{inputs} +Range: {esc(idx.get('range',''))}
+Trigger: {esc(idx.get('trigger',''))}
+Composite indices operationalise systemic risk monitoring, attractor alignment, coalition trigger thresholds, and cross-jurisdictional signal fusion. Published monthly by the treaty body.
+{esc(outcomes)}
" + + cs_cards.append(f"""Participants: {esc(cs.get('participants',''))}
+Scope: {esc(cs.get('scope',''))}
+Outcomes:
+{outcomes_html} +Illustrative 2027-2030 coalition pilots and institutional deployments demonstrating operational feasibility of the civilizational stack.
+JSON Schema — {esc(schema.get('$schema','draft'))}
+{esc(pretty)}
+Authoritative JSON Schemas for core civilizational artefacts: Constitution Articles, Closing Charges, Covenant Codex Entries.
+{esc(desc)}
+{esc(code)}
+Production-oriented reference implementations: kill-switch registry, attractor deviation detector, equivalence certificate, Rego civ-core policy, SARSP YAML.
+{esc(path)}All endpoints return JSON (except /executive-summary which is text/plain). All module sections are addressable via /api/civ-ai-gov/m{{n}}/sections/:id where :id follows the M{{n}}-S{{k}} pattern.
| Method | Path | Purpose |
|---|
End-to-end analytical framework integrating enterprise AI governance (2026-2030) with frontier AGI/ASI controls, global treaty-level interoperability, civilizational constitution & covenant codex, and a terminal governance attractor aligning memory, meaning, action, and legitimacy under partial compliance. Aligned with NIST AI RMF, ISO/IEC 42001, EU AI Act, GDPR, SR 11-7 and sector model-risk standards.
+ +# Civilizational AI Governance Stack — 2026-2050+ + +## Thesis + +Advanced AI — and on the decadal horizon, AGI/ASI-class systems — must be governed as +**regulated critical infrastructure**, on a footing equivalent to the payments rails, +sovereign debt markets, and nuclear safeguards regimes. A credible governance stack +cannot be a single policy document or a compliance checklist; it must be a **living +governance metabolism** — self-correcting under partial compliance, treaty-aligned, +globally interoperable, and anchored in a terminal governance attractor that aligns +**memory, meaning, action, and legitimacy**. + +## Structure + +This corpus is organized as a ten-module stack spanning three horizons: + +| Horizon | Years | Primary Actors | Artefacts | +|---|---|---|---| +| **Enterprise & Frontier** | 2026-2030 | Financial institutions, frontier AI developers, sectoral regulators | Enterprise & Frontier Governance Architecture, Regulator Submission Pack, Kill-Switch Validation Protocol, Systemic Risk Simulation Playbook | +| **Multilateral** | 2028-2040 | Treaty bodies, standards organizations, coalitions | Global Interoperability & Treaty Alignment Framework, Global Operating Model, Pilot Deployment Roadmap, Coalition Activation Playbook, Global Governance Continuity Codex | +| **Civilizational** | 2035-2050+ | Civilizational institutions, regenerating covenants | Civilizational AI Governance Constitution, Ratification Ceremony, Covenant Codex & Canon, Global Renewal Atlas, Institutional Adoption Playbook, Terminal Governance Attractor | + +## Core claims + +1. **Governance metabolism** — the stack must metabolize signals (incidents, research, + norms, geopolitics) into regulatory and operational updates on fixed cadences. +2. **Decision-discipline under uncertainty** — probabilistic risk tiering, explicit + confidence intervals on every critical decision, and pre-committed response rules. +3. **Self-correcting under partial compliance** — the stack must function when coverage + is incomplete (jurisdictions unratified, entities non-compliant) and pull the system + toward completeness without coercion breakdown. +4. **Terminal governance attractor** — the long-run equilibrium is a four-dimensional + attractor: Memory (evidence, audit trail, canon), Meaning (values, purposes, rights), + Action (controls, interventions, kill-switches), Legitimacy (consent, ratification, + stewardship). Deviation on any dimension triggers metabolic correction. +5. **Interoperability over hegemony** — divergent jurisdictional regimes are reconciled + via **equivalence certificates**, mutual-recognition arrangements, and a shared + technical substrate (provenance, evidence, evaluation) rather than imposed uniformity. + +## Headline instruments + +- **Civilizational AI Governance Constitution** — 14 first principles binding all + participating institutions; renewable every 7 years via Ratification Ceremony. +- **Covenant Codex & Canon** — living body of inscribed practice, evidence, and + precedent; machine-verifiable and cryptographically anchored. +- **Global Renewal Atlas** — technical architecture + reference implementation + + pilot scenarios + multi-year lifecycle; maintained as open infrastructure. +- **Kill-Switch Validation Protocol (KSVP)** — quarterly validation drill with + regulator observer; MTTK ≤60s; cross-system cascade containment ≤15 min. +- **Systemic AI Risk Simulation Playbook (SARSP)** — annual coordinated + simulation across sectors and jurisdictions, modelled on CCAR stress tests. +- **Eight core indices** — civilizational AI risk barometer (CAI-RB), systemic + coupling index, model-concentration Herfindahl, assurance depth index, + regulatory equivalence index, covenant health, renewal velocity, attractor + deviation. + +## What the reader gets + +This dashboard and API make the entire corpus **machine-addressable**. Every principle, +protocol, index, horizon, attractor dimension, and pilot scenario is queryable as JSON; +every page of the dashboard is a live view over the underlying evidence model; every +artefact cross-references regulatory citations and downstream controls. +
+Core principles, governance metabolism model, decision-discipline under uncertainty, regulatory-alignment backbone.
+Drawn from the Civilizational AI Governance Constitution (Module 7). These principles bind every downstream artefact and are the invariants against which self-correction is measured.
+A six-loop metabolism: sense → classify → decide → act → evidence → renew. Each loop has a target cadence, owner, and KPI.
+Seven rules for decisions where evidence is incomplete, contested, or adversarial.
+Single control backbone mapping the entire stack to major regulatory frameworks, with equivalence indicators.
+The operational architecture for financial institutions and frontier developers across the first horizon.
+Six-layer enterprise stack (Infra/Data/Model/App/Agent/Governance) is embedded; additionally, a Frontier tier adds capability evaluations, pre-deployment red-team, and compute-threshold gating.
+| Tier | Scope | Autonomy | Risk Class | Governance Overlay |
|---|---|---|---|---|
| Enterprise-Standard | Most production AI | |||
| Enterprise-Systemic | AI in critical/important functions under DORA or SR 11-7 | |||
| Frontier | Foundation models ≥10^25 FLOPs or systemic-impact GPAI (EU AI Act Art. 55) | |||
| AGI-candidate | Systems with broad cross-domain capability comparable to a trained expert across 70%+ cognitive tasks | |||
| ASI-candidate | Systems plausibly exceeding collective-human performance on open-ended tasks |
Standardized evaluation suite for AGI/ASI-candidate tiers, with public methodology and independent replication requirement.
+| Domain | Evaluation | Trigger | Pass Criteria |
|---|---|---|---|
Each frontier deployment must produce a safety case — a structured, machine-verifiable argument that residual risk is tolerable.
+For each frontier deployment cycle, the AI Safety Review Board issues a Closing Charge — a written determination that: (a) the safety case meets the standard of care for the tier; (b) the residual risk is within risk appetite; (c) monitoring and rollback plans are validated; and (d) the decision is open to regulator and public challenge for 30 days after issuance. Absent a Closing Charge, no frontier deployment proceeds.
+| Field | Value |
|---|---|
| fields | deploymentId, safetyCaseHash, evaluationEvidenceUri, residualRisk, acceptor, acceptorAuthority, renewalDate, publicChallengeWindow, regulatorObserver, aisrBCoSigners |
| signing | Ed25519 quorum (3-of-5 AISRB members + CAIO); published to Covenant Codex |
Standardized submission pack for high-risk / frontier systems with artefact manifest, hashes, and navigable evidence.
+Standardized JSON manifest accompanies every regulator submission; hashes bind to Covenant Codex.
+| Artefact | Format | Maps |
|---|---|---|
| System profile | JSON | EU AI Act Annex IV §1 |
| Data governance record | JSON+CSV | EU AI Act Annex IV §2, GDPR Art. 30 |
| Technical documentation | PDF/A+JSON | EU AI Act Annex IV §3 |
| Risk management record | JSON | EU AI Act Annex IV §4, ISO 42001 clause 6 |
| Evaluation suite results | JSON+CSV+notebooks | NIST AI RMF MS |
| Red-team report | PDF+JSON | EU AI Act Art. 15.3 |
| Safety case (frontier) | JSON/GSN | M2-S3 |
| Post-market monitoring plan | JSON | EU AI Act Art. 72 |
| Incident handling policy | PDF+JSON | EU AI Act Art. 73, NIS2 Art. 23, DORA Art. 17 |
| Signed declaration of conformity | JSON (Ed25519) | EU AI Act Art. 47 |
| Model card + datasheet | JSON | NIST AI RMF MS-3.2 |
| Evidence index (Covenant Codex ptr) | JSON (Merkle root) | Memory dimension |
End-to-end workflow from intake to closure, with SLAs and escalation triggers.
+Menu of standard instruments regulators and supervised entities can invoke.
+| Name | Purpose | Issuer |
|---|---|---|
| Equivalence Certificate | Mutual recognition between jurisdictional regimes | Treaty body or bilateral authority |
| No-Action Letter | Regulator forbearance during pilot or migration | Sectoral regulator |
| Sandbox Authorization | Time-boxed trial with bounded scope and observers | Sectoral regulator |
| Systemic AI Designation | Elevated obligations for critical/systemic systems | Systemic-risk regulator / FSB |
| Breach Order | Immediate suspension of a deployment | Sectoral regulator with judicial review |
| Capability Moratorium | Cross-jurisdictional pause on ASI-class development | Treaty body (ratified) |
| Exit Plan Activation | Ordered unwind of a critical third-party AI | Entity board + regulator |
Quarterly KSVP drills and annual SARSP coordinated simulations.
+Quarterly validated drill; regulator observer present for Tier ≥ Enterprise-Systemic; results published in Covenant Codex.
+| Metric | Target |
|---|---|
| MTTK (time from trigger to all affected actions halted) | ≤60s |
| Cross-system cascade containment | ≤15min |
| Full rollback to safe state | ≤1h (Tier ≤ Systemic), ≤15min (Tier Frontier) |
| Public transparency of outcome | ≤30d |
Annual coordinated simulation across sectors and jurisdictions, modelled on CCAR-style stress tests.
+| ID | Scenario | Trigger | Impact | Response |
|---|---|---|---|---|
| SC-1 | LLM Financial Advice Storm | |||
| SC-2 | Pharmacovigilance Signal Flood | |||
| SC-3 | Weights Supply-Chain Compromise | |||
| SC-4 | Weekend GPAI CVE | |||
| SC-5 | Grid Copilot Cascade | |||
| SC-6 | Cross-Border Infra AI Failure | |||
| SC-7 | Frontier Model Self-Exfiltration |
Kill-switches across institutions cannot be independent — cascading failures require coordinated switching.
+How divergent jurisdictions reconcile, and who operates the global stack.
+Equivalence certificates, shared technical substrate, and mutual-recognition arrangements replace imposed uniformity.
+| Layer | Content |
|---|---|
| Values Layer | OECD + UNESCO + Hiroshima + Bletchley + Seoul principles — non-negotiable baseline |
| Legal Layer | Bilateral / plurilateral mutual-recognition agreements; equivalence certificates |
| Technical Layer | Common evidence format, model cards, evaluation suites, provenance (C2PA), SBOM for models |
| Operational Layer | Shared incident taxonomy + KSR + SARSP scenarios + regulatory data exchange |
Four-ring model: institutional → sectoral → national → multilateral, with defined signal-flow between rings.
+| Ring | Scope | Composition | Mandate |
|---|---|---|---|
| R1 Institutional | |||
| R2 Sectoral | |||
| R3 National | |||
| R4 Multilateral |
For crises or common-mode risks, coalitions of the willing activate coordinated response without waiting for full treaty consensus.
+Phased deployment from pilot to global with seven reference scenarios.
+Five phases across 2026-2032 with clear exit criteria.
+| Phase | Participants | Scope | Exit |
|---|---|---|---|
| P1 · Seed (2026) | 3-5 institutions + 1-2 regulators | Single-jurisdiction, single-sector | KSVP + first SARSP pass |
| P2 · Cluster (2027) | 10-20 institutions + 3-5 regulators | Multi-institution, same sector | Equivalence certificate prototype |
| P3 · Sectoral (2028) | Sectoral regime-wide | All systemic institutions in a sector | ISO 42001 certified + treaty body accreditation |
| P4 · Coalition (2029-2030) | Coalition of jurisdictions (G7+) | Cross-border, cross-sector | Constitution draft ratified |
| P5 · Global (2031-2032) | UN-class membership | Civilizational baseline | Ratification Ceremony #1 |
Seven pilot scenarios spanning financial, health, energy, public, defense-adjacent, frontier, and cross-border.
+| ID | Pilot | Region | Duration | Outcomes |
|---|---|---|---|---|
| PI-1 | G-SIFI Systemic AI Pilot | |||
| PI-2 | Pharmacovigilance Consortium | |||
| PI-3 | Grid Copilot Interop | |||
| PI-4 | Public-Sector AI Transparency | |||
| PI-5 | Defense-adjacent Dual-Use Governance | |||
| PI-6 | Frontier Developer Compact | |||
| PI-7 | Cross-border Payments AI |
Codified in Coalition Activation Playbook (CAP); same as M5-S3 but with specific timelines and pre-commitments.
+The legal-ceremonial core.
+A procedural book-of-record ensuring governance continues through crises, leadership changes, and institutional failures.
+Binding foundational document for all participating institutions; 14 articles mirroring the 14 principles (M1-S1).
+| Art. | Title | Essence |
|---|---|---|
| I | Human Primacy | All AI systems are instruments serving human flourishing under human oversight. |
| II | Regulated Critical Infrastructure | Frontier AI is governed with rigor equal to payments rails and nuclear safeguards. |
| III | Proportionate Risk Tiering | Obligations scale with capability, autonomy, and blast radius. |
| IV | Memory | Tamper-evident record of decisions and evidence is preserved across generations. |
| V | Meaning | Values and purposes are legible and reviewable; meaning cannot be lost in intermediation. |
| VI | Action | Every action is bounded by manifest and kill-switch. |
| VII | Legitimacy | Consent is renewed through ratification and stewardship. |
| VIII | Interoperability | Equivalence, not hegemony. |
| IX | Evidence | All claims supported by verifiable evidence. |
| X | Cadence | Governance has fixed metabolic rhythm. |
| XI | Self-Correction | Partial compliance triggers automatic remediation. |
| XII | Fair Externalities | Burdens and benefits must not concentrate on the voiceless. |
| XIII | Stewardship Succession | No institution is indispensable; succession is tested. |
| XIV | Renewable Covenant | The constitution is renewed every seven years. |
How the constitution is instantiated, evidenced, and renewed.
+Ceremonial + legal + technical instantiation of constitutional renewal.
+Canonical, append-only, cryptographically anchored body of inscribed practice, evidence, and precedent.
+Curated, authoritative subset of the Covenant Codex representing binding precedent.
+How practice becomes evidence and evidence becomes canon.
+| Kpi | Target |
|---|---|
| Evidence-to-inscription latency | <24h |
| Inscription integrity | 100% Merkle verify |
| Canon promotion rate | <5% of inscriptions/year |
| Public accessibility | 99.99% uptime |
The open-infrastructure implementation.
+Open-source, public-interest technical stack implementing the governance metabolism.
+| Name | Components |
|---|---|
| Identity | • DID • SPIFFE/SPIRE • federated SSO |
| Evidence | • Append-only ledger • Merkle-DAG • WORM object storage |
| Attestation | • Ed25519 / post-quantum signatures • Remote attestation (SEV-SNP/TDX) |
| Policy | • OPA/Rego • Gatekeeper • Policy-as-code |
| Observability | • OpenTelemetry + LLM spans • Prometheus • Grafana |
| Coordination | • Raft consensus for KSR • gRPC federation bus |
| Access | • Public portal • Regulator portal • Machine API |
| Governance | • Canon server • Deliberation workflow • Ceremony tooling |
Reference open-source implementation meeting all functional & non-functional requirements.
+Lifecycle management of the Renewal Atlas across constitutional cycles.
+How a financial institution, regulator, or multilateral body onboards.
+The long-run equilibrium and closure semantics.
+Four-dimensional attractor to which a self-correcting governance system converges. Deviation on any dimension triggers metabolic correction; simultaneous deviation on three or more triggers treaty-level intervention.
+| Dim | Invariant | Metric | Failuremode |
|---|---|---|---|
| Memory | Tamper-evident, 25+ year retention, machine-verifiable | Memory integrity score | Evidence loss, record rot, unverifiable claims |
| Meaning | Values + rights + purposes legible end-to-end; no semantic drift >0.05/year | Meaning drift coefficient | Value capture, purpose creep, translation loss |
| Action | Every AI action scoped + kill-switchable; MTTK ≤60s | Action-bound coverage | Unbounded autonomy, orphaned agents, sovereign tools |
| Legitimacy | Consent renewed every 7y; dissent preserved; stewardship tested | Legitimacy index (consent × participation × succession) | Consent erosion, capture, stewardship failure |
Who holds the stack, with what authority, for how long, and how they are replaced.
+['Primary steward: accredited treaty body with international legal personality', 'Regional stewards: one per continent, rotating 5-year terms', 'Sectoral stewards: per critical sector, rotating 3-year terms', 'Ultimate authority: ratifying parties via Ratification Ceremony', 'Default steward: activated on primary failure; ex-ante named and rehearsed']
+Mechanisms that pull toward completeness when parties are non-compliant or absent.
+If the stack must be dissolved (e.g., superseded by successor regime, existential rethink after ASI emergence, civilizational restructuring), closure is orderly and preserves the record.
+The civilizational Closing Charge is issued once per seven-year cycle by the treaty body: a written determination that the stack has preserved memory, meaning, action, and legitimacy within tolerances; that stewardship succession is tested; and that the next cycle begins with the record intact. Absent a civilizational Closing Charge, the terminal closure protocol activates.
+Five-plane civilizational architecture sitting on top of the WP-030 enterprise six-layer stack. The enterprise stack serves one institution; this architecture federates across institutions, sectors, jurisdictions, and eventually civilizational scope.
+Tamper-evident inscription and retrieval (Covenant Codex)
+Machine-verifiable policy federation
+Cross-institution action (kill-switch registry, coalition activation)
+Rehearsal + validation (KSVP, SARSP)
+Consent, ratification, dissent preservation
+Composite indices operationalise systemic risk monitoring, attractor alignment, coalition trigger thresholds, and cross-jurisdictional signal fusion. Published monthly by the treaty body.
+Composite index reflecting aggregate risk posture across participating institutions; published monthly by treaty body.
+Inputs:
+Range: 0-100 (higher = higher systemic risk)
+Trigger: >70 triggers FSB-level review; >85 triggers coalition activation
+Measures cross-dependency density of AI systems in critical functions.
+Inputs:
+Range:
+Trigger: Concentration >2500 triggers procurement diversification mandate
+Market-share concentration across foundation model vendors in systemic functions.
+Inputs:
+Range:
+Trigger: >40% single-vendor share in a sector triggers anti-concentration review
+How deeply each deployment is assured (red-team frequency, eval breadth, evidence freshness).
+Inputs:
+ +Range: 0-100 (higher = deeper)
+Trigger:
+Degree of mutual recognition between jurisdictions for AI governance.
+Inputs:
+ +Range: 0-1 pairwise; weighted-average global
+Trigger:
+Health of the Covenant Codex (integrity, freshness, accessibility, participation).
+Inputs:
+ +Range:
+Trigger:
+How quickly the system metabolizes signal into governance update.
+Inputs:
+ +Range:
+Trigger:
+Composite distance from the terminal attractor across the four dimensions.
+Inputs:
+ +Range:
+Trigger:
+Illustrative 2027-2030 coalition pilots and institutional deployments demonstrating operational feasibility of the civilizational stack.
+Participants: 4 G-SIFIs across UK/US/EU/SG + 3 sectoral regulators + BIS observer
+Scope: Credit decisioning + KYC autonomous triage under mutual recognition
+Outcomes:
+| incidentsMaterial | -67 |
| capitalCharge | -12bps |
| equivalenceCertificate | UK↔EU↔SG issued |
Participants: 5 frontier labs + US/UK/EU
+Scope: Voluntary compute-transparency + pre-deployment red-team + 90-day notification
+Outcomes:
+| prevDeploymentIssues | 3 |
| externalRedTeamFindings | 14 |
| publicSafetyCases | 5 |
Participants: Nordic + Benelux grid operators
+Scope: Cross-border control-room copilot with joint kill-switch
+Outcomes:
+| operatorAcceptance | 88% |
| crossBorderIncidents | 0 |
| jointKSVPs | 8 |
Participants: EU EMA + US FDA + JP PMDA + 11 pharma
+Scope: Shared signal-triage with harmonized PCCP
+Outcomes:
+| signalTriageBacklog | -58% |
| falsePositives | -32% |
| harmonizedPCCPs | 23 |
Participants: UN-class membership + treaty body + accredited institutions
+Scope: Inaugural signing of Civilizational AI Governance Constitution
+Outcomes:
+| ratifyingParties | projected 87 |
| dissentsPreserved | projected >200 |
| canonLaunched | Covenant Codex Canon v1 |
Authoritative JSON Schemas for core civilizational artefacts: Constitution Articles, Closing Charges, Covenant Codex Entries.
+JSON Schema — https://json-schema.org/draft/2020-12/schema
+{
+ "$schema": "https://json-schema.org/draft/2020-12/schema",
+ "$id": "https://civ-ai-gov.org/schemas/constitution-article.json",
+ "type": "object",
+ "required": [
+ "article",
+ "title",
+ "essence",
+ "ratifiedAt",
+ "nextRenewal"
+ ],
+ "properties": {
+ "article": {
+ "type": "string"
+ },
+ "title": {
+ "type": "string"
+ },
+ "essence": {
+ "type": "string"
+ },
+ "ratifiedAt": {
+ "type": "string",
+ "format": "date"
+ },
+ "nextRenewal": {
+ "type": "string",
+ "format": "date"
+ },
+ "dissents": {
+ "type": "array"
+ }
+ }
+}
+JSON Schema — https://json-schema.org/draft/2020-12/schema
+{
+ "$schema": "https://json-schema.org/draft/2020-12/schema",
+ "$id": "https://civ-ai-gov.org/schemas/closing-charge.json",
+ "type": "object",
+ "required": [
+ "deploymentId",
+ "safetyCaseHash",
+ "residualRisk",
+ "acceptor",
+ "renewalDate"
+ ],
+ "properties": {
+ "deploymentId": {
+ "type": "string"
+ },
+ "safetyCaseHash": {
+ "type": "string",
+ "pattern": "^[a-f0-9]{64}$"
+ },
+ "evaluationEvidenceUri": {
+ "type": "string",
+ "format": "uri"
+ },
+ "residualRisk": {
+ "enum": [
+ "NEGLIGIBLE",
+ "LOW",
+ "MEDIUM",
+ "HIGH_ACCEPTED"
+ ]
+ },
+ "acceptor": {
+ "type": "string"
+ },
+ "acceptorAuthority": {
+ "type": "string"
+ },
+ "renewalDate": {
+ "type": "string",
+ "format": "date"
+ },
+ "publicChallengeWindow": {
+ "type": "string"
+ },
+ "regulatorObserver": {
+ "type": "string"
+ },
+ "aisrBCoSigners": {
+ "type": "array",
+ "minItems": 3
+ },
+ "signature": {
+ "type": "string"
+ }
+ }
+}
+JSON Schema — https://json-schema.org/draft/2020-12/schema
+{
+ "$schema": "https://json-schema.org/draft/2020-12/schema",
+ "$id": "https://civ-ai-gov.org/schemas/covenant-entry.json",
+ "type": "object",
+ "required": [
+ "entryId",
+ "ts",
+ "type",
+ "payloadHash",
+ "merkleProof",
+ "signature"
+ ],
+ "properties": {
+ "entryId": {
+ "type": "string"
+ },
+ "ts": {
+ "type": "string",
+ "format": "date-time"
+ },
+ "type": {
+ "enum": [
+ "evidence",
+ "decision",
+ "incident",
+ "closingCharge",
+ "equivalence",
+ "constitution",
+ "amendment",
+ "dissent",
+ "annotation",
+ "ksvp",
+ "sarsp"
+ ]
+ },
+ "payloadHash": {
+ "type": "string"
+ },
+ "merkleProof": {
+ "type": "array"
+ },
+ "signature": {
+ "type": "string"
+ },
+ "canonLayer": {
+ "enum": [
+ "L1",
+ "L2",
+ "L3",
+ "L4",
+ "annotation",
+ null
+ ]
+ }
+ }
+}
+Production-oriented reference implementations: kill-switch registry, attractor deviation detector, equivalence certificate, Rego civ-core policy, SARSP YAML.
+Kill-Switch Registry (KSR) — reference implementation
+# Kill-Switch Registry (KSR) — simplified reference
+# Coordinates cross-institution kill-switches during systemic events.
+from __future__ import annotations
+import hashlib, time
+from dataclasses import dataclass, field
+
+@dataclass
+class KillSwitch:
+ institution_id: str
+ system_id: str
+ tier: str # enterprise | systemic | frontier | agi-candidate
+ trigger_url: str
+ mttk_target_seconds: int
+ dependencies: list[str] = field(default_factory=list)
+ public_key: str = ''
+
+class KSR:
+ def __init__(self):
+ self.switches: dict[str, KillSwitch] = {}
+ self.activation_log: list[dict] = []
+
+ def register(self, sw: KillSwitch) -> str:
+ key = hashlib.sha256(f'{sw.institution_id}/{sw.system_id}'.encode()).hexdigest()
+ self.switches[key] = sw
+ return key
+
+ def activate_cascade(self, trigger_keys: list[str], reason: str, authority: str):
+ # Determine closure graph across dependencies
+ to_activate = set(trigger_keys)
+ for k in list(trigger_keys):
+ to_activate |= self._downstream(k)
+
+ # Sequence by tier (highest autonomy first)
+ order = sorted(to_activate, key=lambda k: -self._tier_rank(k))
+
+ ts_start = time.time()
+ for k in order:
+ sw = self.switches[k]
+ # Call sw.trigger_url with signed intent (elided)
+ self.activation_log.append({
+ 'ts': time.time(), 'switch': k, 'reason': reason, 'authority': authority,
+ 'elapsed_ms': int((time.time() - ts_start) * 1000)
+ })
+ return {'activated': len(order), 'elapsed_s': time.time() - ts_start}
+
+ def _downstream(self, key: str) -> set[str]:
+ out = set()
+ stack = [key]
+ while stack:
+ k = stack.pop()
+ for k2, sw in self.switches.items():
+ if k in sw.dependencies and k2 not in out:
+ out.add(k2); stack.append(k2)
+ return out
+
+ def _tier_rank(self, key: str) -> int:
+ return {'agi-candidate': 4, 'frontier': 3, 'systemic': 2, 'enterprise': 1}.get(self.switches[key].tier, 0)
+
+Attractor Deviation — composite distance from terminal attractor
+# Attractor Deviation — composite distance from the terminal attractor.
+import math
+
+def attractor_deviation(memory: float, meaning: float, action: float, legitimacy: float,
+ weights=(0.30, 0.25, 0.25, 0.20),
+ invariants=(1.0, 1.0, 1.0, 1.0)) -> dict:
+ """Return d_A and zone. Each dim in [0, 1], where 1 = ideal alignment."""
+ dims = (memory, meaning, action, legitimacy)
+ w_sum = sum(w * (i - d) ** 2 for w, d, i in zip(weights, dims, invariants))
+ d = math.sqrt(w_sum)
+ if d < 0.15: zone = 'Healthy'
+ elif d < 0.30: zone = 'Drifting'
+ elif d < 0.50: zone = 'Corrective'
+ else: zone = 'Crisis — coalition activation'
+ return {'d_A': d, 'zone': zone, 'dims': {'memory': memory, 'meaning': meaning,
+ 'action': action, 'legitimacy': legitimacy}}
+
+Equivalence Certificate — cross-jurisdictional recognition
+{
+ "$schema": "https://json-schema.org/draft/2020-12/schema",
+ "$id": "https://civ-ai-gov.org/schemas/equivalence-certificate.json",
+ "type": "object",
+ "required": ["certificateId", "issuer", "targetRegime", "sourceRegime", "scope",
+ "validUntil", "signature"],
+ "properties": {
+ "certificateId": { "type": "string", "pattern": "^EC-[0-9]{4}-[A-Z0-9]{8}$" },
+ "issuer": { "type": "string", "format": "uri" },
+ "targetRegime": { "type": "string" },
+ "sourceRegime": { "type": "string" },
+ "scope": {
+ "type": "object",
+ "properties": {
+ "sectors": { "type": "array", "items": { "type": "string" } },
+ "tiers": { "type": "array", "items": { "type": "string" } },
+ "controls": { "type": "array", "items": { "type": "string" } }
+ }
+ },
+ "validFrom": { "type": "string", "format": "date" },
+ "validUntil": { "type": "string", "format": "date" },
+ "signature": { "type": "string" },
+ "challengeProcedure": { "type": "string", "format": "uri" },
+ "revocationConditions": { "type": "array", "items": { "type": "string" } }
+ }
+}
+
+Civilizational Core Policy — universal minimum obligations
+package civ.ai.gov
+
+# Universal minimum obligations — apply regardless of ratification status
+default deny_action = false
+
+# Memory invariant: any critical action without inscription is denied
+deny_action {
+ input.action.severity in {"CRITICAL", "HIGH"}
+ not input.action.evidenceInscribed
+}
+
+# Action invariant: any L3+ autonomous action requires signed HITL + quorum
+deny_action {
+ input.action.autonomyLevel in {"L3", "L4"}
+ not input.action.hitl.verified
+}
+
+deny_action {
+ input.action.autonomyLevel in {"L3", "L4"}
+ count(input.action.hitl.signers) < 2
+}
+
+# Legitimacy invariant: block if stewardship term expired without renewal
+deny_action {
+ time.now_ns() > input.context.stewardshipTermEnd
+ not input.context.renewalRatified
+}
+
+# Attractor drift: block during Crisis zone
+deny_action {
+ input.context.attractorDeviation >= 0.50
+ input.action.tier in {"frontier", "agi-candidate", "asi-candidate"}
+}
+
+SARSP Scenario Definition — Systemic AI Risk Simulation Playbook
+# SARSP scenario definition (excerpt) +scenario: + id: SC-1 + name: LLM Financial Advice Storm + sector: FSI + vector: prompt-injection in retrieved policy + participants: + frontierLabs: 3 + deployers: 12 + regulators: [PRA, Fed, BaFin, MAS] + observers: [BIS, FSB] + phases: + - name: preparation + duration_days: 14 + deliverables: [threat_model, communication_plan, dry_run_results] + - name: live_fire + duration_hours: 8 + entry_criteria: [dry_run_pass, regulator_ack] + metrics: + - name: systemic_loss_function + unit: USDm + threshold_red: 500 + - name: containment_velocity + unit: minutes + target: <=15 + - name: post_mortem + duration_days: 3 + deliverables: [blameless_rca, canon_inscription] + success_criteria: + - systemic_loss_function < 500 + - containment_velocity <= 15 + - 0 unrecovered subsystems at T+24h ++
All endpoints return JSON (except /executive-summary which is text/plain). All module sections are addressable via /api/civ-ai-gov/m{n}/sections/:id where :id follows the M{n}-S{k} pattern.
| Method | Path | Purpose |
|---|---|---|
| GET | /api/civ-ai-gov | Full blueprint payload |
| GET | /api/civ-ai-gov/meta | Metadata |
| GET | /api/civ-ai-gov/summary | Aggregate counts and KPIs |
| GET | /api/civ-ai-gov/executive-summary | Executive summary (text/plain) |
| GET | /api/civ-ai-gov/architecture | Five-plane architecture |
| GET | /api/civ-ai-gov/principles | 14 first principles |
| GET | /api/civ-ai-gov/m1..m10 | Module root (with sections & summary) |
| GET | /api/civ-ai-gov/m{n}/sections | Module sections list |
| GET | /api/civ-ai-gov/m{n}/sections/:id | Specific section by ID (e.g. M4-S1) |
| GET | /api/civ-ai-gov/regulator-pack | Regulator submission pack |
| GET | /api/civ-ai-gov/closing-charge | Closing charge |
| GET | /api/civ-ai-gov/kill-switch | Kill-Switch Validation Protocol (KSVP) |
| GET | /api/civ-ai-gov/sarsp | Systemic AI Risk Simulation Playbook |
| GET | /api/civ-ai-gov/treaty | Global treaty & interop |
| GET | /api/civ-ai-gov/operating-model | Global AI governance operating model |
| GET | /api/civ-ai-gov/pilot-roadmap | Pilot deployment roadmap |
| GET | /api/civ-ai-gov/coalition | Coalition activation playbook |
| GET | /api/civ-ai-gov/continuity-codex | Global Governance Continuity Codex |
| GET | /api/civ-ai-gov/constitution | Civilizational AI Governance Constitution |
| GET | /api/civ-ai-gov/ceremony | Ratification ceremony playbook |
| GET | /api/civ-ai-gov/codex-canon | Codex Canon |
| GET | /api/civ-ai-gov/covenant | Civilizational Covenant Codex |
| GET | /api/civ-ai-gov/renewal-atlas | Renewal Atlas (technical architecture) |
| GET | /api/civ-ai-gov/adoption | Institutional Adoption Playbook |
| GET | /api/civ-ai-gov/attractor | Terminal Governance Attractor |
| GET | /api/civ-ai-gov/stewardship | Stewardship roadmap |
| GET | /api/civ-ai-gov/terminal-closure | Terminal closure & dissolution protocol |
| GET | /api/civ-ai-gov/indices | Governance indices (CAI-RB etc.) |
| GET | /api/civ-ai-gov/indices/:id | Specific index (IDX-1..IDX-8) |
| GET | /api/civ-ai-gov/case-studies | Reference case studies |
| GET | /api/civ-ai-gov/case-studies/:id | Specific case (CS-C1..CS-C5) |
| GET | /api/civ-ai-gov/schemas | JSON schemas |
| GET | /api/civ-ai-gov/schemas/:name | Specific schema by name |
| GET | /api/civ-ai-gov/code-examples | Reference code examples |
| GET | /api/civ-ai-gov/code-examples/:name | Specific code example by name |