{
  "schema_version": "1.0.0",
  "rubric_version": "1.0",
  "license": "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)",
  "record": {
    "id": "O-0209",
    "slug": "oxford-hardware-ai-governance-lab",
    "title": "Hardware AI Governance Lab",
    "aliases": [
      "HAIGL",
      "Oxford Hardware AI Governance Lab"
    ],
    "status": "draft",
    "last_reviewed": "2026-09-24",
    "review_interval_days": 90,
    "steward": null,
    "provenance": {
      "drafted_by": "ai",
      "reviewed_by": []
    },
    "risk_flags": [],
    "flags": [],
    "kind": "academic-lab",
    "homepage": "https://aigi.ox.ac.uk/hardware-ai-governance-lab/",
    "one_liner": "A University of Oxford lab, hosted by the Oxford Martin AI Governance Initiative, that studies how computer hardware can support AI governance and international coordination.",
    "sources": [
      {
        "source": "S-1703",
        "supports": "hosted by AIGI; co-directors and research lead; research focus and aims; first design profile expected in late 2026; lists S-1300 and S-1704 among its publications"
      },
      {
        "source": "S-1300",
        "supports": "cluster I/O fingerprinting design and its aim; first author affiliated with the lab"
      },
      {
        "source": "S-1704",
        "supports": "chip manufacturing threat model, defence in depth and tiered assurance; two authors affiliated with the lab"
      }
    ],
    "type": "organization",
    "url": "https://trustbutveri.fyi/organizations/oxford-hardware-ai-governance-lab/",
    "source_file": "content/organizations/oxford-hardware-ai-governance-lab.md",
    "flags_all": [
      "ai-drafted"
    ],
    "body_markdown": "The Hardware AI Governance Lab (HAIGL) is an interdisciplinary initiative at the University of Oxford, hosted by the [[O-0205|Oxford Martin AI Governance Initiative]] (AIGI) [[S-1703]]. Its co-directors are Amro Awad and Robert Trager, and Ben Harack is its co-founder and research lead [[S-1703]].\n\nThe lab states that it treats hardware architecture as a foundational layer for embedding oversight, verification and control mechanisms [[S-1703]]. It names three aims:\n\n- It aims to turn high-level governance concepts into hardware design proposals, and then into early-stage feasibility prototypes [[S-1703]].\n- It explores ways to verify how AI systems behave, and whether some governance constraints can be enforced directly in hardware [[S-1703]].\n- It studies how agreements between states could be structured and implemented when the parties have limited trust in each other [[S-1703]].\n\nThe lab expects to release its first hardware governance design profile in late 2026 [[S-1703]]. It lists two 2026 papers among its publications [[S-1703]]:\n\n- A design for fingerprinting all of an AI cluster's I/O without processors that both parties must trust. It aims to make it infeasible to covertly exfiltrate the results of undisclosed workloads through the tapped links [[S-1300]]. Its first author lists the lab as an affiliation [[S-1300]]. See [[M-0013]] and [[I-0012]].\n- A survey of verifiable semiconductor manufacturing that develops a threat model spanning chip design through manufacturing. It argues that defence in depth is required, with assurance tiered by chip criticality, and that neutral third-party verification authorities can help overcome industry opacity [[S-1704]]. Two of its four authors list the lab as an affiliation [[S-1704]].",
    "body_text": "The Hardware AI Governance Lab (HAIGL) is an interdisciplinary initiative at the University of Oxford, hosted by the Oxford Martin AI Governance Initiative (AIGI) [S-1703]. Its co-directors are Amro Awad and Robert Trager, and Ben Harack is its co-founder and research lead [S-1703]. The lab states that it treats hardware architecture as a foundational layer for embedding oversight, verification and control mechanisms [S-1703]. It names three aims: - It aims to turn high-level governance concepts into hardware design proposals, and then into early-stage feasibility prototypes [S-1703]. - It explores ways to verify how AI systems behave, and whether some governance constraints can be enforced directly in hardware [S-1703]. - It studies how agreements between states could be structured and implemented when the parties have limited trust in each other [S-1703]. The lab expects to release its first hardware governance design profile in late 2026 [S-1703]. It lists two 2026 papers among its publications [S-1703]: - A design for fingerprinting all of an AI cluster's I/O without processors that both parties must trust. It aims to make it infeasible to covertly exfiltrate the results of undisclosed workloads through the tapped links [S-1300]. Its first author lists the lab as an affiliation [S-1300]. See Network taps and certifiers and Low-trust AI compute verification system overview. - A survey of verifiable semiconductor manufacturing that develops a threat model spanning chip design through manufacturing. It argues that defence in depth is required, with assurance tiered by chip criticality, and that neutral third-party verification authorities can help overcome industry opacity [S-1704]. Two of its four authors list the lab as an affiliation [S-1704].",
    "referenced_by": [
      {
        "id": "M-0013",
        "title": "Network taps and certifiers",
        "url": "https://trustbutveri.fyi/mechanisms/network-taps-and-certifiers/"
      },
      {
        "id": "O-0205",
        "title": "Oxford Martin AI Governance Initiative",
        "url": "https://trustbutveri.fyi/organizations/oxford-martin-ai-governance-initiative/"
      },
      {
        "id": "S-1300",
        "title": "Fingerprinting All AI Cluster I/O Without Mutually Trusted Processors",
        "url": "https://trustbutveri.fyi/sources/cankaya-fingerprinting-ai-cluster-io/"
      },
      {
        "id": "S-1704",
        "title": "Verifiable Semiconductor Manufacturing",
        "url": "https://trustbutveri.fyi/sources/ilhan-verifiable-semiconductor-manufacturing/"
      },
      {
        "id": "S-1703",
        "title": "Hardware AI Governance Lab",
        "url": "https://trustbutveri.fyi/sources/oxford-hardware-ai-governance-lab/"
      }
    ]
  }
}