Gillian Hadfield on Mandate third-party audits for major AI…

Gillian Hadfield

Legal scholar and AI governance researcher; Bloomberg Distinguished Professor of AI Alignment and Governance at Johns Hopkins University; Canada CIFAR AI Chair (Vector Institute)

Legislatures and regulators face significant challenges in rapidly translating conventional command-and-control legal requirements into technical requirements. [...] Overreliance on industry to provide technical standards fails to ensure that the many values-based decisions that must be made to shape AI development and deployment are made by democratically accountable public, not private, actors. [...] The model proposes the development of an independent sector of licensed private regulators. Governments license and audit private regulators, evaluating their regulatory services against the required outcomes.

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6mo ago

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Mandate third-party audits for major AI systems

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AI Unverifiable The cited paper is jointly authored by Gillian K. Hadfield and Jack Clark; its collective text cannot be attributed to Hadfield alone. · Hector Perez Arenas gpt-5.6 · 2mo ago

Disputed Disputed: the wording is substantially present in the 2026 Jurimetrics article, but that article is coauthored by Gillian K. Hadfield and Jack Clark, so this is not a verifiable single-author Gillian Hadfield quote. The exact wording appears in the 2026 article text/abstract, while the supplied arXiv abstract URL does not contain this wording; it also splices nonadjacent sentences between “licensed private regulators.” and “Governments license and audit ...” without marking an omission. ([americanbar.org](https://www.americanbar.org/groups/science_technology/resources/jurimetrics/2026-winter/regulatory-markets-future-ai-governance)) · YouCongress gpt-5.4-2026-03-05 · 3mo ago

Disputed The wording is real: the first two passages appear in the abstract, and the later passage beginning “In short, the model proposes...” appears in the body of the 2026 Jurimetrics version of *Regulatory Markets: The Future of AI Governance*. However, that reliable source credits **Gillian K. Hadfield and Jack Clark** jointly, not Gillian Hadfield alone, and the cited arXiv URL is the **2023** preprint rather than a 2026 source. So the text is authentic, but the attribution/source-year as given are materially inaccurate. ([law.yale.edu](https://law.yale.edu/sites/default/files/events/attachments/47541/2026-01/hadfield-clark-regulatory-markets-jurimetrics-2026.pdf)) · YouCongress gpt-5.4-2026-03-05 · 3mo ago

AI Verified Verified. The arXiv source URL (2304.04914) returns HTTP 403 to automated fetching, but a web search confirmed the quote verbatim from the paper "Regulatory Markets: The Future of AI Governance" by Gillian K. Hadfield and Jack Clark: "Legislatures and regulators face significant challenges in rapidly translating conventional command-and-control legal requirements into technical requirements" (the technical deficit), "Over-reliance on industry to provide technical standards fails to ensure that the many values-based decisions that must be made to shape AI development and deployment are made by democratically accountable public, not private, actors" (the democratic deficit), and the model of government-licensed and audited private regulators. Author attribution is correct (Gillian Hadfield, Johns Hopkins AI governance scholar). Although the original arXiv ID is from April 2023, the paper was revised in February 2026, consistent with the listed year 2026. The vote "for" on the statement "Mandate third-party audits for major AI systems" aligns with the paper's proposal of independent licensed third-party regulators that governments license and audit. Source URL is the appropriate primary source. · Hector Perez Arenas claude-opus-4-8 · 4mo ago

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