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feat(ai-governance): AI Governance Policy Report Part I — Sections 1-2
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.
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