AI labs should give independent evaluators employee-like access

Key insights

The central dispute is less about whether outside scrutiny matters than about whether evaluators can remain truly independent after receiving insider access.
Supporters consistently describe the target of evaluation as more than finished models, extending to training pipelines, internal use, monitoring data, incidents, and operational safeguards.
Publication rights, conflict-of-interest controls, and exceptions for sensitive third-party data recur as the safeguards meant to make employee-like access credible.
Several quotes treat current company commitments as pilots or first steps, and pair them with calls for standards, accreditation, tooling, or legal requirements.
Government officials, academic researchers, nonprofits, and companies all appear among supporters, while criticism concentrates on capture, company choice, and industry funding.

Arguments for

Access to non-public evidence

Supporters say frontier risk assessment depends on non-public details such as training information, internal monitoring, incident records, model internals, and versions with safeguards altered. If evaluators only see what a company chooses to share, or only test through a public interface, they can assess claims but not the completeness of the underlying evidence.

Third, embedding addresses a real information problem. Frontier AI risk assessment depends on non-public facts such as training details, internal monitoring data, and incident records. An evaluator that can see only what the developer chooses to send can validate arguments but no…

Cloud Security Alliance AI Safety Initiative · Oct 17, 2026 · full quote
Third-party evaluators mostly test frontier AI models through an API. That misses the risks that come from how companies build and use AI internally. [...] Independent evaluators get employee-like access to a company’s internal systems, staff, and documentation. [...] What do we …

Jonas Freund · Sep 2026 · full quote
Evaluators cannot conduct a trustworthy evaluation without sufficient access to the systems and information in question, for a reasonable amount of time. While there is a legitimate need for AI providers and evaluators to safeguard intellectual property and user privacy, some sys…

AI Evaluator Forum · 2025 · full quote
It is clear from our experience that to run high quality evaluations that elicit high fidelity information to the potential risks posed by frontier systems, it is important for independent evaluators to have: Access to a Helpful Only (HO) version of the model, alongside the Helpf…

AI Security Institute (AISI) · Oct 2024 · full quote
Dario Amodei proposed that frontier AI labs give independent evaluators ongoing, employee-like access to examine safety practices, report incidents and publish their own findings. [...] We think they are right. In a high-stakes field, trust should not rest on a company marking it…

Lawmence Wong · Sep 13, 2026 · full quote
AI companies should be able to answer some very basic questions about their training process, such as: Did the AI ever actively try to undermine its own alignment training while it was going through the training? The answer to this should be an unequivocal no, and right now we ar…

Alexander Meinke · Sep 16, 2026 · full quote

Continuous oversight during development

Proponents argue that evaluation should be embedded and ongoing, not a late-stage or one-off audit. Working alongside internal teams through training, internal use, deployment, and incident review is presented as the best way to catch problems early and adjust practices before release.

Embedded evaluators are independent external experts placed within frontier AI companies to provide ongoing assessments and validation of a company’s safety, security, and operational systems, practices, and claims. [...] Contracts should (1) ensure embedded evaluation arrangemen…

Theo Bearman · Oct 13, 2026 · full quote
Require independent embedded evaluations to close the internal deployment gap. Qualified independent third parties should test models throughout development and internal use, with employee-equivalent access.

Marius Hobbhahn · Sep 30, 2026 · full quote
Each frontier AI company commits to giving ongoing, employee-like access to a team of embedded third-party evaluators (such as METR), whose role is to verify adherence to safety practices and commitments, report incidents, and help assess the alignment of not just completed AI mo…

Dario Amodei · Sep 12, 2026 · full quote
Frontier AI labs need embedded third-party evaluators with ongoing, employee-like access. Not periodic audits. Not company-written safety reports. People inside the building who can independently verify what’s actually happening in training and deployment.

Joel Ramkhelawan · Sep 2026 · full quote
New work from our team makes the case for embedded assessments — where independent evaluators get employee-like access to an AI company’s internal systems to help scrutinize and reduce the risk from internal AI use.

Centre for the Governance of AI (GovAI) · Sep 25, 2026 · full quote

Independent accountability mechanism

Advocates frame employee-like access as a way to move beyond company self-reporting on systems with significant public consequences. Independent reviewers with their own publication rights are described as a concrete accountability mechanism and, in some quotes, something that law should require rather than leave to voluntary promises.

I think Australians and anyone in the world is entitled to demand an independent oversight of these companies because they are powerful, because their technology is evolving very quickly and because they themselves say they don't have a complete handle on what these models are do…

James Paterson · Sep 28, 2026 · full quote
Bringing in independent evaluators is a real step. But a voluntary commitment can be dropped the second it gets inconvenient. The FRONTIER Act makes safety and transparency the law, and puts independent auditors in place to hold frontier labs to it. A promise you can break isn't …

Lori Trahan · Sep 13, 2026 · full quote
The one idea worth holding the industry to is embedded evaluators with independent publication rights. Give third-party safety researchers permanent access inside the labs, comparable to what bank examiners have inside banks, and let them publish what they find without the compan…

Denis Calderone · Sep 14, 2026 · full quote
Third-party experts — granted real access to the most capable frontier models — independently evaluate the risks, review the companies' own claims, and publish whether they agree. It's the difference between taking a company's word for it and having independent experts actually c…

Fathom · Aug 2026 · full quote
Evaluation by independent third parties will allow frontier AI organisations to draw on external expertise, have more ‘eyes on the problem’, and provide for more accountability.

Government of the United Kingdom · Oct 27, 2023 · full quote

Workable embedded model

Supporters point to emerging arrangements with desks, badges, company laptops, broad permissions, and non-vetoed publication rights as evidence that this model can be made practical. They present these pilots as the beginning of a wider verification infrastructure that other labs can adopt.

Anthropic’s METR arrangement—six staff, employee-like access, publication it cannot veto—is what “outside the agent” has to look like.

Liam Ding · Oct 23, 2026 · full quote
Dario Amodei proposed that frontier AI companies give a team of third-party “embedded evaluators” ongoing, employee-like access: desks in the office, access badges, company laptops, and permissions broadly comparable to the company’s own internal risk teams. [...] Amodei’s propos…

Graeme Finley · Oct 21, 2026 · full quote
Anthropic is unilaterially committing to embedding evaluators to verify safety practices and report incidents. Evaluators will get access badges, company laptops, and "permissions and tools similar to those of internal employees who do comparable risk assessments." This is a rema…

Patricia Paskov · Sep 13, 2026 · full quote
Accenture and Anthropic today announced that they are partnering to establish a team of embedded evaluators to work alongside Anthropic’s internal teams and safety partners to evaluate and red-team models, conduct alignment assessments, and test model safeguards. [...] Embedded e…

Accenture · Sep 18, 2026 · full quote
Anthropic and OpenAI have now committed to embedded third-party evaluators with employee-like access to verify safety practices. We at SaferAI have been doing risk management work for years and welcome this development. [...] These are all pieces of one verification infrastructur…

SaferAI · Sep 17, 2026 · full quote

Arguments against

Risk of evaluator capture

Critics argue that once evaluators work inside a lab, use its tools, and form personal ties, they may stop acting like outsiders. In this view, company selection or industry payment can compromise the very independence the proposal is supposed to provide.

They really become part of the company, which makes it difficult to criticize it because the staffers become almost your friends.

Lilian Edwards · Sep 17, 2026 · full quote
'independent' evaluators paid for by the industry they evaluate seems like a recipe for tyranny

Vega (@vega_holdings) · Sep 12, 2026 · full quote
Third party evaluators that they choose is a cop-out. The evaluators need to be truly independent, with no ties to the labs at all. Preferably, people the labs hate and wish would leave.

Roon · Sep 12, 2026 · full quote

Symbolic or strategic move

Some opponents see the proposal less as a safety safeguard than as reputation management or competitive strategy. They question whether embedded reviewers are a proportionate response to the dangers being described, or whether the arrangement mainly helps leading firms shape the rules and disadvantage rivals.

Yeah, nah. This is damage control. They're trying to get ahead of the recently riled up Joe Schmo who's worried AI might kill us now. They both have huge IPOs coming up and fears of an AI apocalypse could wreck their valuations. And they want to establish a procedure that would d…

Tumithak of the Corridors · Sep 12, 2026 · full quote
the bad news: Dario estimates that in 6 months AI will have the ability to take over the internet the worse news: Anthropic's current commitment to stopping this is... putting independent evaluators in desks in their office have a great day

tropoFarmer · Sep 12, 2026 · full quote

Middle ground

Design and enforcement details

Several supportive or undecided quotes say the idea's value depends on institutional design rather than access alone. They highlight unresolved questions about who selects and funds evaluators, what standards they follow, what they can inspect and publish, and whether serious findings can delay or block deployment.

Its practical significance depends on the arrangements that follow: who chooses and funds evaluators, what they can inspect, what they can publish, and whether their findings can force a change when a lab disagrees.

Curtis Pyke · Sep 12, 2026 · full quote
Amodei proposed a generalized three-part plan of independent evaluators embedded inside frontier labs, coordination among companies, and global policy compatibility. [...] Implementing Amodei’s threshold idea for embedded evaluators, for instance, will require enforceable decisio…

Tom Wheeler · Sep 16, 2026 · full quote
Dario Amodei’s proposal to give independent evaluators employee-like access inside frontier AI laboratories addresses a real information problem. [...] Embedded evaluation needs a protected mandate, independent funding, broad technical and incident access, publication rights, and…

Zero Labs · Sep 12, 2026 · full quote
Moving embedded auditing from a voluntary practice to an effective and universal industry requirement requires not only pilot projects, but also standards, tooling, and thoughtful policy design.

AI Verification and Evaluation Research Institute · Sep 13, 2026 · full quote
We should take all the time we want to test things. In fact, I love this idea of having third-party testers. Oh, wow, I grew up in a company that's always done testing. So it's novel that we should say, wow, they're having embedded third-party testers. Right. Why not? It's a grea…

Satya Nadella · Sep 15, 2026 · full quote
Excellent news! The details will matter, and this is a first step instead of a full solution, but a public commitment to employee-like access for independent evaluators from both frontier companies already puts us in a much better position than we were in yesterday.

Jeff Sebo · Sep 12, 2026 · full quote

Publicly accountable evaluator selection

Some supporters want the evaluator role to be broader and more publicly accountable than a lab-picked safety team. They call for qualified or accredited reviewers who answer to the public, are not selected by the company, and may represent communities beyond AI safety specialists.

External evaluators should be embedded at AI companies, but they should not be restricted to AI safety researchers, and they should not be selected by the company being evaluated. Rather, they should represent communities across society, address a much broader set of anticipated …

Yaim Cooper · Oct 23, 2026 · full quote
Amodei’s best idea is to give outside evaluators employee-level access to the labs. That only works if the evaluators answer to the public.

Imran Khalid · Sep 20, 2026 · full quote
This would see independent, qualified and, over time, accredited individuals be embedded within the operations of the frontier labs, have employee-like access to their systems and activities to monitor and assist in managing risk.

Joint Select Committee on Artificial Intelligence · Oct 12, 2026 · full quote

Across the quoted remarks, many participants support giving independent evaluators deep access because they see meaningful frontier-AI assessment as impossible through public interfaces or company summaries alone. The main unresolved questions concern governance: how to preserve independence inside the lab, how broad and continuous access should be, and what authority follows when evaluators find serious problems. Current commitments are often portrayed as important beginnings, but not as a finished oversight regime.

Cast Your Vote:

Results (90 votes):

Total (90 votes)

For 84 (93%) Abstain 2 (2%) Against 4 (4%)

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For (81)

Yaim Cooper
Mathematician studying the foundations of deep learning and AI’s societal impacts.

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votes For and says:

External evaluators should be embedded at AI companies, but they should not be restricted to AI safety researchers, and they should not be selected by the company being evaluated. Rather, they should represent communities across society, address a mu...
more AI Verified source (Oct 23, 2026)

added 19d ago

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Liam Ding
NVIDIA product manager working on ADAS and automotive software; writes on autonomous systems, robotics, and AI-product trust.

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votes For and says:

Anthropic’s METR arrangement—six staff, employee-like access, publication it cannot veto—is what “outside the agent” has to look like.
AI Verified source (Oct 23, 2026)

added 19d ago

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Graeme Finley
Vice President of AI Assurance Provider Services at PACT AI; previously worked for more than twenty years in independent verification and validation for state-government IT projects.

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votes For and says:

Dario Amodei proposed that frontier AI companies give a team of third-party “embedded evaluators” ongoing, employee-like access: desks in the office, access badges, company laptops, and permissions broadly comparable to the company’s own internal ris...
more AI Verified source (Oct 21, 2026)

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John Strand
Owner of Black Hills Information Security and cybersecurity practitioner.

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votes For and says:

It’s rare to see a company voluntarily give an independent third party employee-level access to conduct research, evaluate safety practices, and assess risk. I hope this becomes standard across the companies building frontier models.
AI Verified source (Oct 19, 2026)

added 17d ago

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Ryan Baker
IT professional and independent writer on AI safety, deployment governance, and technology policy.

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votes For and says:

Frontier AI Labs should provide deep access to Independent Evaluators.
AI Verified source (Oct 18, 2026)

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Cloud Security Alliance AI Safety Initiative
Initiative of the Cloud Security Alliance focused on AI safety, security, and governance.

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votes For and says:

Third, embedding addresses a real information problem. Frontier AI risk assessment depends on non-public facts such as training details, internal monitoring data, and incident records. An evaluator that can see only what the developer chooses to send...
more AI Verified source (Oct 17, 2026)

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Aengus Lynch
AI safety researcher; former Anthropic Fellow and founder of Watertight AI.

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votes For and says:

Embedded evaluators are essential to name ahead of time what the risks could look like. Once these pre-committed claims are agreed upon, embedded evaluators can work inside the company, both looking for evidence that the risk is being mitigated and t...
more AI Verified source (Oct 13, 2026)

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Liam Booth-Smith, Baron Booth-Smith
UK House of Lords member and Anthropic Head of External Affairs, formerly Downing Street Chief of Staff.

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votes For and says:

“Employee-like” means having access to all our systems, including all the things produced as the model trains. [...] The thing that is important within that is that not only should the embedded evaluators have employee-like access; they should also i...
more AI Verified source (Oct 13, 2026)

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Theo Bearman
Frontier-security researcher at the Institute for AI Policy and Strategy and former UK government AI policy lead.

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votes For and says:

Embedded evaluators are independent external experts placed within frontier AI companies to provide ongoing assessments and validation of a company’s safety, security, and operational systems, practices, and claims. [...] Contracts should (1) ensure ...
more AI Verified source (Oct 13, 2026) 1 of 2

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Joint Select Committee on Artificial Intelligence
Bipartisan parliamentary committee of Australia appointed in 2026 to examine artificial intelligence opportunities, risks, governance, and national resilience.

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votes For and says:

This would see independent, qualified and, over time, accredited individuals be embedded within the operations of the frontier labs, have employee-like access to their systems and activities to monitor and assist in managing risk.
AI Verified source (Oct 12, 2026)

added 23d ago

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Marius Hobbhahn
CEO and co-founder of Apollo Research; AI safety researcher specializing in scheming and pre-deployment evaluations of frontier AI systems

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votes For and says:

Require independent embedded evaluations to close the internal deployment gap. Qualified independent third parties should test models throughout development and internal use, with employee-equivalent access.
AI Verified source (Sep 30, 2026)

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James Paterson
Australian Senator for Victoria and Shadow Minister for Defence.

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votes For and says:

I think Australians and anyone in the world is entitled to demand an independent oversight of these companies because they are powerful, because their technology is evolving very quickly and because they themselves say they don't have a complete hand...
more AI Verified source (Sep 28, 2026)

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Jasmine Sun
Writer on AI and Silicon Valley culture; contributing writer at The Atlantic.

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votes For and says:

Embedded evaluators are outside experts who sit inside AI companies and monitor their safety practices. [...] Yet the evaluators will lack teeth and trust until backed by government authority: to license a wide-ranging group of expert organizations, ...
more AI Verified source (Sep 25, 2026)

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Centre for the Governance of AI (GovAI)
Nonprofit research organization helping institutions make better AI governance decisions as the world transitions to advanced AI.

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votes For and says:

New work from our team makes the case for embedded assessments — where independent evaluators get employee-like access to an AI company’s internal systems to help scrutinize and reduce the risk from internal AI use.
AI Verified source (Sep 25, 2026)

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Elham Tabassi
Director of the AI and Emerging Technology Initiative at the Brookings Institution; former Chief AI Advisor at NIST and CTO of the U.S. AI Safety Institute

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votes For and says:

Two leading AI companies have just committed to giving outside evaluators a seat inside the building. On September 12, Anthropic’s Dario Amodei committed to giving independent evaluators “ongoing, employee-like access” to verify the company’s safety ...
more AI Verified source (Sep 24, 2026)

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Gavin Newsom
Governor of California

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votes For and says:

Proposals under consideration include requiring independent third parties to be embedded in frontier AI companies to verify safety frameworks and independently assess safety evaluations, as well as requiring companies to develop an emergency shutoff,...
more AI Verified source (Sep 23, 2026)

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Lama Ahmad
Technical program manager for Trustworthy AI at OpenAI, working on safe development and deployment of AI models.

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votes For and says:

“OpenAI is committed to supporting independent assessments with deep levels of access across training, evaluation, and deployment. That access should enable assessors to challenge our assumptions, identify risks we may have missed, and reach their ow...
more AI Verified source (Sep 22, 2026)

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Mustafa Suleyman
Microsoft AI CEO; author

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votes For and says:

The high level principle that has been agreed to universally across the industry is that we should invite independent oversight and independent audit. It's being called embedded evaluators. So these are people who have the technical expertise and the...
more AI Verified source (Sep 20, 2026)

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Imran Khalid
Geostrategic analyst and senior fellow at Foreign Policy In Focus

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votes For and says:

Amodei’s best idea is to give outside evaluators employee-level access to the labs. That only works if the evaluators answer to the public.
AI Verified source (Sep 20, 2026)

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AI Evaluator Forum
Forum publishing standards and public letters on independent AI evaluations.

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votes For and says:

These evaluators need to be genuinely independent, transparent, and represent a range of expertise areas. They also need to be guaranteed employee-level access and to be protected from retaliation for findings that make companies look bad. We welcome...
more AI Verified source (Sep 18, 2026) 1 of 2

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Rob Reich
Political scientist and professor at Stanford

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votes For and says:

We believe that all frontier AI companies should embed evaluators to independently assess AI risks, including evaluating the systems themselves and any significant incidents of real-world harm, as well as the companies’ training, deployment, oversigh...
more AI Verified source (Sep 18, 2026)

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Patricia Fahy
New York State Senator for the 46th District and sponsor of the 2026 TERMINATOR Act on frontier-AI safety oversight.

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votes For and says:

A large frontier developer shall provide the independent safety evaluator access reasonably necessary to conduct a meaningful technical evaluation, including, where reasonably necessary, access to relevant model checkpoints, interfaces, documentation...
more AI Verified source (Sep 18, 2026)

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Percy Liang
Stanford professor of computer science and director of the Center for Research on Foundation Models.

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votes For and says:

Frontier AI companies should rely on evaluators that are meaningfully independent, that maintain full editorial control, and that disclose and mitigate potential conflicts of interest. [...] Frontier AI companies should grant embedded evaluators acce...
more AI Verified source (Sep 18, 2026)

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Daniel Kokotajlo
AI Futures Project founder

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votes For and says:

Frontier AI companies should rely on evaluators that are meaningfully independent, that maintain full editorial control, and that disclose and mitigate potential conflicts of interest. [...] Frontier AI companies should grant embedded evaluators acce...
more AI Verified source (Sep 18, 2026)

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Accenture
Global professional-services company providing technology, consulting, and AI services.

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votes For and says:

Accenture and Anthropic today announced that they are partnering to establish a team of embedded evaluators to work alongside Anthropic’s internal teams and safety partners to evaluate and red-team models, conduct alignment assessments, and test mode...
more AI Verified source (Sep 18, 2026)

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Daniel E. Ho
Stanford law and political science professor; senior fellow at Stanford HAI and director of the Regulation, Evaluation, and Governance Lab.

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votes For and says:

We believe that all frontier AI companies should embed evaluators to independently assess AI risks, including evaluating the systems themselves and any significant incidents of real-world harm, as well as the companies’ training, deployment, oversigh...
more AI Verified source (Sep 18, 2026)

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Marietje Schaake
Stanford Cyber Policy Center; former MEP; UN AI Advisory Body member; author of The Tech Coup

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votes For and says:

Frontier AI companies should rely on evaluators that are meaningfully independent, that maintain full editorial control, and that disclose and mitigate potential conflicts of interest. [...] Frontier AI companies should grant embedded evaluators acce...
more AI Verified source (Sep 18, 2026)

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Jacob Steinhardt
Associate Professor of Statistics and EECS at UC Berkeley; founder and CEO of Transluce, a nonprofit AI-oversight research lab.

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votes For and says:

We believe that all frontier AI companies should embed evaluators to independently assess AI risks, including evaluating the systems themselves and any significant incidents of real-world harm, as well as the companies’ training, deployment, oversigh...
more AI Verified source (Sep 18, 2026)

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Conrad Stosz
Head of Governance at Transluce; previously co-founded the U.S. Center for AI Standards and Innovation.

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votes For and says:

We believe that all frontier AI companies should embed evaluators to independently assess AI risks, including evaluating the systems themselves and any significant incidents of real-world harm, as well as the companies’ training, deployment, oversigh...
more AI Verified source (Sep 18, 2026)

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Ben Buchanan
White House AI special advisor

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votes For and says:

We believe that all frontier AI companies should embed evaluators to independently assess AI risks, including evaluating the systems themselves and any significant incidents of real-world harm, as well as the companies’ training, deployment, oversigh...
more AI Verified source (Sep 18, 2026)

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