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🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
54 lines
3.5 KiB
JSON
54 lines
3.5 KiB
JSON
{
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"page": {
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"title": "For Decision-Makers | Tractatus AI Safety Framework",
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"description": "Structural AI governance for organisations deploying LLM systems at scale. Research framework addressing architectural gaps in AI safety."
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},
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"header": {
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"badge": "Research Framework • Early Development",
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"title": "Tractatus: Architectural Governance for LLM Systems",
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"subtitle": "A governance framework addressing structural gaps in AI safety through external architectural controls. Designed for organisations deploying large language models at scale where conventional oversight mechanisms prove insufficient."
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},
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"sections": {
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"governance_gap": {
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"heading": "The Governance Gap",
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"intro": "Current AI governance approaches—policy documents, training programmes, ethical guidelines—rely on voluntary compliance. LLM systems can bypass these controls simply by not invoking them. When an AI agent needs to check a policy, it must choose to do so. When it should escalate a decision to human oversight, it must recognise that obligation.",
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"problem": "This creates a structural problem: governance exists only insofar as the AI acknowledges it. For organisations subject to EU AI Act Article 14 (human oversight requirements) or deploying AI in high-stakes domains, this voluntary model is inadequate.",
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"solution": "Tractatus explores whether governance can be made architecturally external—difficult to bypass not through better prompts, but through system design that places control points outside the AI's discretion."
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},
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"architectural_approach": {
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"heading": "Architectural Approach",
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"three_layer_title": "Three-Layer Architecture",
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"services_title": "Six Governance Services"
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},
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"governance_capabilities": {
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"heading": "Governance Capabilities",
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"intro": "Three interactive demonstrations showing governance infrastructure in operation. These show mechanisms, not fictional scenarios.",
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"audit_trail_title": "Audit Trail & Compliance Evidence Generation",
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"audit_trail_desc": "Immutable logging, evidence extraction, regulatory reporting",
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"continuous_improvement_title": "Continuous Improvement: Incident → Rule Creation",
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"continuous_improvement_desc": "Learning from failures, automated rule generation, validation",
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"pluralistic_deliberation_title": "Pluralistic Deliberation: Values Conflict Resolution",
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"pluralistic_deliberation_desc": "Multi-stakeholder engagement, non-hierarchical process, moral remainder documentation"
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},
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"development_status": {
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"heading": "Development Status",
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"warning_title": "Early-Stage Research Framework",
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"warning_text": "Tractatus is a proof-of-concept developed over six months in a single project context (this website). It demonstrates architectural patterns for AI governance but has not undergone independent validation, red-team testing, or multi-organisation deployment.",
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"validation_title": "Validated vs. Not Validated"
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},
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"eu_ai_act": {
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"heading": "EU AI Act Considerations",
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"article_14_title": "Regulation 2024/1689, Article 14: Human Oversight"
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},
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"research_foundations": {
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"heading": "Research Foundations",
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"org_theory_title": "Organisational Theory & Philosophical Basis"
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},
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"scope_limitations": {
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"heading": "Scope & Limitations",
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"title": "What This Is Not • What It Offers",
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"not_title": "Tractatus is not:",
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"offers_title": "What it offers:"
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}
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}
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}
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