Source · Tier C · Blog / articleSource · On TEEs for Privacy-Preserving Monitoring in AI Governance
On TEEs for Privacy-Preserving Monitoring in AI Governance
Gloria Z. 2026. MIRI Technical Governance Team.
| Original | https://techgov.intelligence.org/blog/on-tees-for-privacy-preserving-monitoring-in-ai-governance |
|---|---|
| Accessed | 2026-10-15 |
| Authored or published by | Machine Intelligence Research Institute |
| Imported from | hodgkins-ai-verification-papers@c71e59ff0e8e |
| Note | Listed under "Trusted execution and attestation" in the Hodgkins bibliography (CC BY 4.0), which gives the author as "Zhao". The page itself (read 2026-09-23, dated 2026-06-18) shows the byline "Aaron Scher" and "Gloria Z", and states that the post was conducted as part of the MIRI Technical Governance Fellowship and "authored solely by Gloria", with thanks to Aaron Scher for guidance. The author is therefore recorded as shown on the page. |
Cited by
- Confidential multi-party verificationMechanism
- Hardware-attested weight bindingMechanism
- On-chip telemetry from timing, memory and performance countersMechanism
- Safeguard attestationMechanism
- TEE remote attestation for AI workloadsMechanism
- The declared model is the one being servedClaim
- There is no undeclared relevant computeClaim
- Declared safeguards were applied during inferenceClaim
- Root of trustConcept
- Side channelConcept
- Trusted execution environment (TEE)Concept
- Machine Intelligence Research InstituteOrganization