feat(veridical-week4+agi-governance+ciso+ai-gov): Project Veridical Wk4 + AGI Governance Framework + CISO Roadmap + AI Governance Policy#29
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Technical policy report: 'Navigating the Governance of Advanced AI Systems' targeting senior government officials, AI researchers, and industry leaders. New HTML page: ai-governance-report.html (~1,800 words, Part I) - Section 1: Executive Summary - Scope: frontier models, GPAI, AGI-adjacent systems across 5 jurisdictions - 7 key findings (definitional divergence, compute governance, liability gaps) - 4 priority recommendations (IASEC, compute thresholds, red-teaming, AGI contingency) - Section 2: Introduction — Frontier Models & AGI-Adjacent Systems - Current capability landscape (GPT-4, Gemini, Claude 3, Llama 3) - AGI-adjacent definitional challenges (4-criterion operational definition) - Governance imperative: 4-category risk taxonomy (dual-use, systemic, safety, sovereignty) - Governance Stack model (4 layers: statutory, technical standards, self-governance, international) New API endpoints (4): /api/ai-governance — Full report metadata + all data /api/ai-governance/findings — Key findings + priority recommendations /api/ai-governance/risks — 4-category risk taxonomy with evidence + gap assessments /api/ai-governance/frameworks — Governance stack + frontier model timeline + jurisdictions Verification: 28 API endpoints all HTTP 200, 9 HTML pages zero console errors.
…is + Sectoral Regulations Add Sections 3-4 to AI Governance Policy Report (~2,800 words, cumulative ~4,600). Section 3: Comparative Analysis of Global AI Frameworks - 3.1 Jurisdictional comparison matrix (8 dimensions × 5 jurisdictions) EU: AI Act (Reg. 2024/1689), 4-tier risk + GPAI overlay, 10^25 FLOP threshold US: EO 14110, sectoral approach, 10^26 FLOP reporting, no federal statute UK: Pro-innovation White Paper, AISI voluntary testing, no legislation China: Application-specific binding regs (generative AI, algorithmic, deep synthesis) Other: Canada AIDA, Japan soft-law, Singapore voluntary, G7 Hiroshima - 3.2 EU AI Act deep-dive (Art. 51-56, CEN-CENELEC, Brussels Effect) - 3.3 US sectoral approach (EO 14110, FDA, FTC, USAISI limitations) - 3.4 UK pro-innovation framework (AISI, Bletchley/Seoul, voluntary constraints) - 3.5 China application-specific regulation (CAC, algorithm registry, dual imperative) - 3.6 Other jurisdictions and multilateral frameworks (CoE Convention, UN Advisory Body) Section 4: Sectoral Regulations and Technical Safety Measures - 4.1 Healthcare (FDA 950+ authorisations, EU MDR+AI Act dual layer, MHRA) - 4.2 Financial services (SR 11-7, DORA, FCA/PRA, GenAI regulatory frontier) - 4.3 Defence (DoD 3000.09, REAIM, CCW LAWS stalemate, dual-use porosity) - 4.4 Technical safety (red-teaming, dangerous capability evals, alignment testing, incident reporting, continuous monitoring, responsible disclosure) - 4.5 Evaluation frameworks comparison table (NIST AI RMF, ISO 42001, CEN-CENELEC, Responsible Scaling Policies) with critical gap analysis New API endpoints (2): /api/ai-governance/jurisdictions — 8 dimensions × 5 jurisdictions comparative data /api/ai-governance/sectoral — 3 sectors + 4 evaluation frameworks + critical gap Verification: 30 API endpoints all HTTP 200, 9 HTML pages zero console errors.
…n, Recommendations, Conclusion - Section 5: AI Safety Summit process (Bletchley Nov 2023, Seoul May 2024, Paris Feb 2025); 3 tangible outcomes + limitations; technical standards convergence (6 bodies: ISO/IEC SC 42, CEN-CENELEC JTC 21, IEEE 7000, NIST AI 100, OECD); mutual recognition agreements (3 precedents, 3 prerequisites); capacity building gap analysis - Section 6: 8 policy recommendations across 3 tiers — Tier 1 (R1: IASEC consortium, R2: compute-threshold escalation 10^24-10^27+ FLOP); Tier 2 (R3: structured access, R4: liability frameworks); Tier 3 (R5: AGI-contingency, R6: global treaty, R7: 20% safety research mandate, R8: democratic governance); 3 research priority areas (technical safety, governance design, measurement); implementation timeline Q2 2026 through 2029+ - Section 7: 5 critical deficiencies (no certification body, enforcement asymmetry, liability vacuum, safety investment <2%, AGI governance absence); governance gap thesis; proactive vs reactive final assessment - 3 new API endpoints: /api/ai-governance/cooperation, /recommendations, /conclusion (total 9 ai-governance endpoints) - Updated AI_GOVERNANCE data object with internationalCooperation, policyRecommendations, implementationTimeline, conclusion properties - Updated header meta: status Complete All 7 Sections, word count ~8,500 - Verification: all 34 API endpoints HTTP 200, 9 HTML pages, zero console errors
…Governance Policy Report Two major additions to the RAG Agentic Dashboard: 1. CISO 5-Year Security Roadmap — Formal Report (SEC-ROAD-RPT-001) ~4,200-word report from CISO & Lead Security Architect perspective for mid-size FinTech moving from on-prem to cloud-native AI-agent arch. Report Structure (XML-tagged <title>, <abstract>, <content>): - Section 1: Executive Summary (Board, 2 paragraphs) - Section 2: Reconciling Tiered Admin & Agent Interop (Engineering, 3 para) - Section 3: Foundational Hardening Yr 1-2 (strategic+technical bullets, KPIs) - Section 4: Zero Trust Integration Yr 3-4 (strategic+technical bullets, KPIs) - Section 5: Adaptive Security Measures Yr 5 (strategic+technical bullets, KPIs) - Cardinal Invariant: AI agents NEVER write to Tier 0 Framework Citations: NIST CSF 2.0, CISA ZT v2.0, NIST PQC FIPS 203/204, ISO 42001, ISO 27001, SOC 2 Type II 8 new API endpoints: /api/ciso-report, /meta, /executive-summary, /reconciliation, /foundational, /zero-trust, /adaptive, /invariant New page: ciso-report.html 2. AI Governance Policy Report (GOV-AI-RPT-001) — all 7 sections (~8,500 words) Sections 1-7: Executive Summary, Introduction, Comparative Jurisdictional Analysis, Sectoral Regulations, International Cooperation, Recommendations, Conclusion — with 9 API endpoints Verification: - 42+ API endpoints: all HTTP 200 - 10 HTML pages: all HTTP 200 - Console errors: 0
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…s Report — 4,800-word data-driven RAG implementation status with XML-tagged Markdown
Report: VRDCL-ESR-004 — Enterprise RAG implementation weekly executive status
Audience: Executive Steering Committee, Board AI Oversight, Senior Engineering Leadership
Data Object (VERIDICAL_WEEK4):
- Strategic Reasoning: 2,042-char calibration rationale (EVM principles, Gartner benchmarks)
- Section 1 — Project Health: 4 execution tracks (Infrastructure, Ingestion, Retrieval,
Governance), earned-value metrics (CPI 1.13, SPI 1.02, EAC $1.26M), 8-milestone timeline
- Section 2 — Key Metrics: 6 dashboard metrics with WoW trends
• P95 latency 1.18s | Accuracy 87.4% | Cost $0.023/query
• Uptime 99.97% | Corpus 847K docs | Adoption 284 users
- Section 3 — Critical Risks: REI 0.14, 2 medium + 3 low risks
- Section 4 — Next Steps: 7 Week 5 objectives, 2 decisions, 4-week look-ahead
API: 7 endpoints /api/veridical-week4/{meta,health,metrics,risks,next-steps,reasoning}
HTML: dark-theme executive dashboard, zero console errors
Verification: All endpoints HTTP 200
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Summary
Four executive-grade reports with full API layers and interactive HTML dashboards.
1. AGI Governance Framework (NEW — Report 2)
<strategic_reasoning>,<title>,<abstract>,<content>/api/agi-governance/pillar/:idagi-governance.html— dark-theme dashboard with maturity bars, pillar cards, risk cards2. Project Veridical — Week 4 of 12 Executive Status Report
veridical-week4.html3. CISO 5-Year Security Roadmap (SEC-ROAD-RPT-001)
ciso-report.html4. AI Governance Policy Report (GOV-AI-RPT-001)
ai-governance-report.htmlVerification
Files Changed
rag-agentic-dashboard/server.js(modified — AGI_GOVERNANCE + VERIDICAL_WEEK4 data + endpoints)rag-agentic-dashboard/public/agi-governance.html(new/updated)rag-agentic-dashboard/public/veridical-week4.html(new)rag-agentic-dashboard/public/ciso-report.html(new)rag-agentic-dashboard/public/ai-governance-report.html(new)