This ambitious proposal envisions a "civilizational operating system," fusing a Lisp-based symbolic core with UNESCO's ethical governance to create a wiser, not just smarter, AGI. It directly confronts the fatal flaw of modern deep learning: "moral smearing." The standard matrix multiplication in systems like PyTorch irreversibly blends ethical constraints with raw data, destroying audit trails and making true accountability impossible.

The blueprint’s first solution is a mathematical pivot to Vector Symbolic Architectures (VSA). Using operations like circular convolution, VSA losslessly "braids" data and ethics. The Lisp core then performs an "unbinding proof," extracting the original ethical rule to verify compliance—a structural guarantee of auditable ethics absent in today's AI.

Second, to prevent static dogma, it employs a Closure-inspired immutable symbolic layer. Every ethical update creates a new, permanent version, enabling "bi-temporal auditing." The AGI maintains a perfect memory of its moral evolution, allowing historically contextual decisions. Critical cross-policy conflicts are resolved by a "computational parliament," a Lisp macro whose logical consistency is guaranteed by category theory, mathematically encoding UNESCO's priority hierarchy.

Finally, to translate grand vision into fundable action, it proposes a focused Global Heritage Root pilot. By using the system to preserve endangered languages and traditions with perfect contextual fidelity, it demonstrates the core capability while simultaneously creating a gold-standard test for removing cultural bias. This reframes the project from theoretical white paper to urgent policy tool, proving the system's utility through definitive, mathematically-verifiable anti-bias engineering. The outcome aims to be an AGI with civilizational maturity, capable of auditable truth—a fundamental shift from opaque pattern-matching to introspective, accountable intelligence.

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