Data Integrity in the AI Era: A Post-Doctoral Architectural Framework for Epistemic Preservation, Predictive Risk Mitigation, Sovereign Knowledge Governance & Digital Stewardship
Data Integrity in the AI Era: A Post-Doctoral Architectural Framework for Epistemic Preservation, Predictive Risk Mitigation, Sovereign Knowledge Governance & Digital Stewardship
In 2026, the probabilistic nature of Large Language Models necessitates a deterministic cryptographic substrate to prevent systemic hallucinations and irreversible epistemic integrity degradation. This post-doctoral architectural framework introduces Architectural Entropy, quantifies the Blast Radius of poisoned vectors, and proposes a Self-Sovereign Knowledge Graph protected by RFC 3161 time-stamping, ZK-SNARKs, and immutable vaults (TruthSeal.pro, VaultIt.pro, VoiceJournal.pro). It calls for global Digital Stewardship to preserve humanity’s collective intelligence
Model Collapse, Digital Stewardship, Epistemic Integrity, Zero-Knowledge Proofs, proof of human, AI security, Cryptographic Time-Stamping, Data Integrity, Habsburg AI, Self-Sovereign Knowledge Graph
Model Collapse, Digital Stewardship, Epistemic Integrity, Zero-Knowledge Proofs, proof of human, AI security, Cryptographic Time-Stamping, Data Integrity, Habsburg AI, Self-Sovereign Knowledge Graph
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