Digital Twin Professors
What a Digital Twin is / is not
A Digital Twin is:
- A bounded AI system trained on a consented corpus
- Designed to teach, explain, and assist with Q&A
- Built to preserve knowledge continuity
A Digital Twin is not:
- Not a person
- Not sovereign
- Not an independent moral agent
- Not allowed to operate outside defined boundaries
Consent & revocation
Participation requires explicit written consent. Authorization is scoped and revocable. Revocation triggers deactivation and/or re-training boundary updates.
Data boundary
Each Digital Twin is built only from a consented, governed corpus of the individual's life-work and public/provided materials, under revocable authorization. We do not present the system as “everything a person ever did.” We present it as a governed knowledge substrate with clear boundaries.
Lecture format
- Lecture modules (prepared lessons)
- Live Q&A (with guardrails)
- Attribution and citations where possible
- Recording policy (what is stored, what isn't)
Safety, auditability, and boundaries
- Logs / audit trails
- Versioning (“Twin v1, v2…”)
- Red-team testing
- Human oversight policy (stated clearly)
Governance & Research Framework · Digital Twin Governance Standard v1 · Curriculum