O-0205

Oxford Martin AI Governance Initiative

A research programme at the University of Oxford that studies AI governance from technical and policy angles and hosts the Hardware AI Governance Lab.

Source reviewed 2026-09-25

01 / The mechanism and its boundary

What is being described

The Oxford Martin AI Governance Initiative (AIGI) is a research programme housed in the Oxford Martin School at the University of Oxford S-1705. It describes itself as one of the few centres in the world that study the governance of AI from both technical and policy perspectives S-1705. It is co-led by Robert Trager, a social scientist who specialises in international relations and frontier AI regulation, and Maike Osborne, a machine-learning specialist S-1705.

Its verification work includes:

  • A 2025 AIGI report examines how states could verify compliance with international AI agreements, framed around a prover and a verifier S-0004. It observes that demonstrating that something exists is often easier than demonstrating that it does not S-0004. It includes an appendix on model fingerprint attestation, and describes networking hardware that makes cryptographic commitments about all traffic S-0004.
  • A 2024 policy paper argues that compute providers could be verifiers of their customers' activities S-0058. It describes how information that providers already hold, without confidential data, can indicate a workload's type, such as large-scale training or inference, and the compute it consumed S-0058; see This compute runs inference, not training.
  • AIGI hosts the Hardware AI Governance Lab, which studies how computer hardware architecture can support AI governance, oversight and international coordination S-1703.
  • SASH reports launching, with AIGI and a team of researchers, an international collaboration to build tools that make AI verifiable across borders, and names AIGI as an early partner S-1320. The collaboration's first project is a confidential network logger S-1320; see SASH confidential network logger.

Organization website ↗

Sources and provenance

  1. S-1705 / Tier B

    About: Oxford Martin AIGI ↗

    · 2026 · Oxford Martin AI Governance Initiative

    Supports: housed in the Oxford Martin School; technical and policy focus; co-led by Robert Trager and Maike Osborne

    Version and catalogue details
  2. S-0004 / Tier B

    Verification for International AI Governance ↗

    B. Harack, R. F. Trager, A. Reuel, D. Manheim, M. Brundage, O. Aarne, A. Scher, Y. Pan, J. Xiao, K. Loke, S. N. Adan, G. Bas, N. A. Caputo, J. C. Morse, J. Ahuja, I. Duan, J. Egan, B. Bucknall, B. Rosen, R. Araujo, V. Boulanin, R. Lall, F. Barez, S. Alvira, C. Katzke, A. Atamli, A. Awad · 2025 · Oxford Martin AI Governance Initiative

    Supports: Verification for International AI Governance: prover and verifier, presence versus absence, model fingerprint attestation, traffic commitments

    Version and catalogue details
  3. S-0058 / Tier B

    Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation ↗

    L. Heim, T. Fist, J. Egan, S. Huang, S. Zekany, R. Trager, M. Osborne, N. Zilberman · 2024 · Oxford Martin AI Governance Initiative

    Supports: compute providers as verifiers; workload type and compute from non-confidential information

    Version and catalogue details
  4. S-1703 / Tier B

    Hardware AI Governance Lab ↗

    · 2026 · Oxford Martin AI Governance Initiative

    Supports: hosts the Hardware AI Governance Lab; the lab's research focus

    Version and catalogue details
  5. S-1320 / Tier C

    Internationalising AI Verification ↗

    Singapore AI Safety Hub (SASH) · 2026 · SASH blog

    Supports: co-launched SASH's international verification collaboration; named as an early partner

    Version and catalogue details
Source review date
2026-09-25
Drafted by (source map)
ai
Review handles (source map)
codex-review