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Digital Twin Governance and Continuity

This research area examines digital twins as bounded knowledge systems: consent, audit trails, human oversight, custodial governance, and institutional memory. Work focuses on reversible and reviewable actions where possible, and on continuity of knowledge without disclosing internal doctrinal or legal architecture.

Systems Requirements for Faithful Digital Twins

Digital twins require architectures capable of operating over large lifelong knowledge corpora. Compressed-domain inference is one proposed approach that enables scalable operation without excessive memory or latency costs.

Compressed-Domain Inference →

Themes

  • Digital twins as bounded knowledge systems
  • Human oversight
  • Custodial governance
  • Institutional memory
  • Audit trails
  • Reversible / reviewable actions where possible

← Research · Digital Twin Professors · Papers