YouCongress
Explore About Sign up

Comment by Gillian Hadfield

Avatar
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.
AI Unverifiable source (2026)
Like Share on X 7mo ago

Policy proposals and claims

Mandate third-party audits for major AI systems
votes For
Statement relation verification history Unverified Report this
No statement relation verification comments yet.
Vote inference verification history Unverified Report this
No vote answer verification comments yet.

Quote authenticity verification history

Report this

Quote authenticity comments

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 · 3mo 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 · 4mo 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 · 4mo 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 · 5mo ago
replying to Gillian Hadfield

Other opinions from Gillian Hadfield

See all

Other authors to follow

Dario Amodei Dario Amodei CEO at Anthropic OpenAI OpenAI AI research organization Anthropic Anthropic AI safety research company Sam Altman Sam Altman CEO at OpenAI Yoshua Bengio Yoshua Bengio AI Pioneer, Turing Award winner Demis Hassabis Demis Hassabis Nobel laureate, AI Researcher and CEO of DeepMind Bernie Sanders Bernie Sanders U.S. Senator from Vermont Geoffrey Hinton Geoffrey Hinton Godfather of Deep Learning António Guterres António Guterres UN Secretary-General