Why this topic matters
Synthetic personas and twins can leak information if built on sensitive data or if logs are mishandled. Privacy-by-design stops “synthetic” from becoming a loophole.
- Clarify provenance, retention, and access controls end to end.
- Test for re-identification and membership inference risk.
- Disclose privacy posture clearly so stakeholders use outputs appropriately.
Use this page to
- Brief privacy and security partners on synthetic specifics.
- Borrow language for disclosure labels and procurement packs.
- Plan privacy testing alongside validation work.
Tip: include privacy posture in every study label so audiences know what is simulated and what is grounded.
Articles tagged Privacy
Privacy posture and controls for synthetic personas and simulations.
Standards • Ethics
Preventing Cambridge Analytica-style failures with enforceable provenance, consent, and validation standards.
Ethics • Symposium
A synthesis of arguments, cautions, and proposals debated under Chatham House rules.