Mandate third-party audits for major AI systems

Key insights

Across supportive quotes, audits are usually paired with incident reporting, transparency, safety frameworks, and oversight powers rather than treated as a standalone fix.
Much of the disagreement is about timing and institutional readiness: supporters press for binding independent review now, while critics say the standards and auditor market are not yet mature enough.
Many proponents limit mandates to frontier, high-risk, or largest developers, while opponents argue that costs could still spill over to smaller organizations that buy or use those systems.
Both camps discuss auditor qualifications and standards, but they draw opposite conclusions from the same concern: proponents want law to create them, and critics want law to wait for them.
The quoted support spans lawmakers, regulators, researchers, international bodies, civil society groups, and some AI companies, whereas the clearest opposition in this sample comes from trade associations and business advocates.

Arguments for

Independent oversight

Supporters argue that developers should not be allowed to judge the safety of their own systems on their own. They say self-assessment is not enough for powerful AI, because independent evaluators without ties to the lab are needed to provide objective verification and avoid bias or conflicts of interest.

Developers should not be the sole judges of the systems they build. It’s like asking students to grade their own homework. Independent evaluations, conducted by government or qualified third parties, should be a standard part of the AI ecosystem.

Rob Reich · Sep 22, 2026 · full quote
It is really important, given the stakes, that people who develop AI and those who test it don’t have relationships with each other.

Yoshua Bengio · Sep 1, 2026 · full quote
Trust cannot rest on self-assessment or voluntary disclosure alone. It requires the ability to independently assess systems through auditability, traceability, and validation mechanisms across the AI lifecycle – drawing on established practices from cybersecurity, safety engineer…

Daphné Barbotte · May 14, 2026 · full quote
Self-attestation is not governance. The Chicago Principles describe what assurance must be to deserve the trust markets are now asked to place in it.

AIQA Global · May 28, 2026 · full quote
The most capable frontier AI models cannot be assessed solely by the organizations that build them.

LatticeFlow AI · Jun 4, 2026 · full quote

Pre-deployment risk checks

Proponents say the most advanced systems should undergo mandatory independent testing, red-teaming, or audits before release, especially for catastrophic cyber, biological, deception, or autonomous risks. In this view, covered models should not be deployed until external review shows they meet clear safety safeguards, with regulators able to block or recall dangerous systems.

Frontier AI systems require constant oversight and vigilance at home and abroad. The United States should establish clear, transparent, enforceable safety standards, developed by federal experts at NIST in coordination with other relevant federal agencies. Covered models should n…

Maria Cantwell · Oct 7, 2026 · full quote
That requires independent evaluators to red-team AI models before deployment, not voluntary company disclosures.

Raj Panjabi · Oct 9, 2026 · full quote
Our Advanced AI Framework proposes mandatory independent safety testing for frontier models, transparency requirements, and government authority to block or recall dangerous AI deployments.

Anthropic · Jun 12, 2026 · full quote
Independent third parties need to be part of the evaluation process to avoid bias. And if the risk is above the threshold set by the government, the system shouldn't be allowed to be deployed.

Xinchen Hua Lu · Jul 7, 2026 · full quote
Just because you’ve developed a new drug doesn’t mean you can put it on the market. You have to persuade the FDA. That takes about a billion dollars’ worth of work. That is at least the requirement that should be demanded of AI.

Geoffrey Hinton · Oct 16, 2026 · full quote

Trust through verifiability

Another case for mandates is that trust in AI must be built through verifiability rather than company assertions. Audits are described as one part of a wider accountability infrastructure that also includes disclosure, certification, incident reporting, and clear responsibility throughout the AI lifecycle.

Trust must be built through verifiability that is fostered through independent third-party testing, disclosure across the AI value chain, including incident reporting.

Rebecca Finlay · Jul 7, 2026 · full quote
Trust must be demonstrated through practical verifiability, transparent governance, data policies, and independent testing of high-risk applications throughout their lifecycle.

Government of Latvia · Jul 7, 2026 · full quote
If we place our trust in these products or machines, it is not because they are simple, transparent or harmless. It is because, over decades, we have built a genuine infrastructure of trust around them: laws, regulations, oversight authorities, certification procedures, audits, s…

Olivier Sibony · Jul 22, 2026 · full quote
We cannot advance AI innovation and adoption without trust, and trust is earned through more transparency, independent evaluation, and clear mechanisms for accountability.

Nicholas Garcia · Jun 4, 2026 · full quote
It is an argument for treating incident discovery and independent review as part of the safety system itself. If advanced agents can generate vast volumes of activity quickly, companies need clear thresholds for what gets escalated, investigated, independently reviewed and disclo…

BinaryBriefing · Sep 19, 2026 · full quote

Risk-based scope

Many supporters frame mandates as targeted rather than one-size-fits-all. They argue that the toughest independent testing and audit requirements should apply to frontier or otherwise high-risk systems and the largest developers, so smaller innovators are not burdened with unnecessary red tape.

A better approach would be risk-based. Low-risk applications need little intervention, while systems crossing defined thresholds in areas such as cyber capability, biological risk, weapons, critical infrastructure or autonomous action should face much tougher requirements. Fronti…

Asad Baig · Sep 21, 2026 · full quote
By tying coverage to substantial AI research and development investments and requiring transparency and independent assessments from those developers, the bill avoids one-size-fits-all mandates and allows smaller innovators to spend their time building new technologies instead of…

Scott Franklin · Jul 23, 2026 · full quote
Artificial intelligence is advancing rapidly, and Congress must ensure our regulatory framework keeps pace without undermining American innovation. The FRONTIER Act focuses oversight on the largest developers and most advanced models, requiring transparency, independent evaluatio…

Jay Obernolte · Jul 23, 2026 · full quote
Require the largest AI companies to publish and comply with safety frameworks, submit to third-party audits, and ensure whistleblowers are protected.

Lori Trahan · Jun 1, 2026 · full quote
By establishing robust safety standards for developers, requiring independent assurance of those standards, and ensuring transparency into frontier AI development, the federal government can give the public meaningful protections while preserving America’s leadership in AI.

Brad Carson · Aug 10, 2026 · full quote

Arguments against

Immature audit ecosystem

Critics argue that mandatory audits are premature because frontier AI safety lacks recognized standards, established methodologies, certified auditors, and a deep pool of qualified vendors. They say companies cannot be fairly penalized for failing to meet obligations that do not yet exist in a robust and uniform form.

Illinois SB 315’s mandatory third-party AI audit requirement creates an impossible compliance burden — there are no recognized auditing standards, certified auditors or established methodologies for frontier model safety audits, yet companies would face penalties up to $3 million…

Amy Bos · May 26, 2026 · full quote
SB 315 would require third-party audits of AI systems, but a sufficient market of qualified auditors does not yet exist. Companies could face significant compliance risk because the vendors needed to meet the bill are not widely available. In addition, there is no consensus on th…

Consumer Technology Association · May 22, 2026 · full quote
Rather than mandating audits before a mature verification ecosystem exists, legislators should consider an approach similar to legislation adopted in Virginia and Connecticut, which first directs state agencies to study the feasibility, standards, risks, and implementation challe…

Aden Hizkias · May 27, 2026 · full quote
We remain concerned that Illinois would effectively be requiring private actors to make highly subjective determinations requiring AI safety compliance without established national standards, certifications, or clear regulatory guardrails.

Ninia Linero · May 20, 2026 · full quote
This bill contains a critically flawed mandatory third-party audit requirement that creates an impossible compliance obligation on an unrealistic timeline.

NetChoice · May 26, 2026 · full quote

Costs spread beyond labs

Opponents warn that repeated audits, reporting, and disclosure obligations may be manageable for very large firms but costly for smaller employers and other organizations that use AI tools. They argue that these expenses could be passed through in higher prices or accumulate across multiple systems to become prohibitive.

While the Big Tech developers will easily absorb the audit costs or pass them on through their pricing to consumers, every Illinois business that uses American AI — every hospital, every community bank, every law firm, every manufacturer — will have to pay for that audit in highe…

Jeremy Kudon · May 29, 2026 · full quote
Independent AI audits currently cost tens of thousands of dollars per system, depending on complexity. For employers using multiple HR technology tools, the cost could easily reach six figures annually or more. Small and mid-sized employers, which make up the majority of Connecti…

Paul Amarone · Mar 10, 2026 · full quote
Repeated third-party audits, extensive reporting, and public disclosures may be manageable for large organizations, but for small and mid-sized employers — which make up most New York workplaces — these costs could be prohibitive.

Alexander Alonso · Jan 15, 2026 · full quote

Sensitive information risks

Some critics object that aggressive audit and data-sharing requirements could expose trade secrets and private records. They also worry that, without clear national standards and guardrails, private auditors would be asked to make highly subjective compliance judgments.

There are some changes we’d like to work with the sponsors on, including the bill’s aggressive auditing regime and data-sharing requirements for developers that could risk entrepreneurs’ trade secrets and private records.

Patrick Hedger · Jun 4, 2026 · full quote
We remain concerned that Illinois would effectively be requiring private actors to make highly subjective determinations requiring AI safety compliance without established national standards, certifications, or clear regulatory guardrails.

Ninia Linero · May 20, 2026 · full quote
SIIA raised particular concerns about applying traditional product liability frameworks to generative AI, regulating frontier models at the state level, and imposing premature audit and transparency requirements without established standards.

Software & Information Industry Association · Apr 13, 2026 · full quote

Middle ground

Phase in with standards

Some quotes support outside assessment in principle but favor a staged or tightly specified model. They call for clear rules on auditor selection, standards, access, and publication, and suggest starting with voluntary or federally overseen arrangements before making audits mandatory once the regime proves effective and robust.

Independent audits could help, but there needed to be clarity over who selects auditors, what standards they use, how much access they receive and whether findings are made public. [...] Some of these voluntary commitments would eventually need statutory backing, including clearl…

V. Ramgopal Rao · Oct 1, 2026 · full quote
Frontier labs would initially share their models with the body voluntarily, up to 30 days before release, for safety testing that probes dangerous cyber, biological and deception capabilities.

Demis Hassabis · Jul 14, 2026 · full quote
Once the testing regime proves “effective and robust,” formalization “could quickly follow.” That means frontier models would be required to pass before they could be deployed in the U.S. market.

Demis Hassabis · Jul 14, 2026 · full quote
For the most advanced frontier AI models, an independent, federally overseen, industry-backed organization could set safety standards and verify independent, voluntary audits, similar to how other critical sectors are managed.

Kent Walker · Jun 25, 2026 · full quote

The debate centers less on the general idea of outside review than on how quickly and under what conditions it should become mandatory. Supporters describe independent audits as a foundational safeguard for frontier or high-risk AI, while opponents argue that mandates risk becoming unworkable or costly before standards, auditors, and guardrails are mature. A recurring middle position favors clearer rules and a staged rollout before full legal compulsion.

Cast Your Vote:

Results (232 votes):

Total (232 votes)

For 211 (91%) Abstain 0 (0%) Against 21 (9%)

New Top

For (206)

Bruce Barcott
Editorial Lead at Transparency Coalition.AI; environmental journalist and author.

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votes For and says:

Independent third-party AI auditors will act like financial accounting firms: investigating and verifying safety protocols and legal compliance. They’re a critical part of the safeguards needed around powerful frontier AI models.
AI Verified source (Oct 28, 2026)

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Terry Oroszi
Researcher and principal investigator of the Emerging Technologies Laboratory, focused on AI governance and risk.

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votes For and says:

Qualified independent evaluators from academia and specialized oversight bodies must have structured, red-team access to frontier models before deployment. Evaluation criteria must be standardized in advance, and findings must be published independen...
more AI Verified source (Oct 28, 2026)

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Geoffrey Hinton
Godfather of Deep Learning

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votes For and says:

Just because you’ve developed a new drug doesn’t mean you can put it on the market. You have to persuade the FDA. That takes about a billion dollars’ worth of work. That is at least the requirement that should be demanded of AI.
AI Verified source (Oct 16, 2026)

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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:

Australia should require AI companies to submit to independent safety checks.
AI Verified source (Oct 13, 2026)

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Raj Panjabi
Physician, global-health and biodefense expert; former White House Senior Director for Global Health Security and Biodefense.

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votes For and says:

That requires independent evaluators to red-team AI models before deployment, not voluntary company disclosures.
AI Verified source (Oct 9, 2026)

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Maria Cantwell
U.S. Senator from Washington

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votes For and says:

Frontier AI systems require constant oversight and vigilance at home and abroad. The United States should establish clear, transparent, enforceable safety standards, developed by federal experts at NIST in coordination with other relevant federal age...
more AI Verified source (Oct 7, 2026)

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New Mexico Department of Justice
State justice department led by New Mexico Attorney General Raúl Torrez, responsible for protecting New Mexicans and enforcing state law.

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votes For and says:

This bill requires the largest AI developers to assess and disclose the catastrophic risks their models pose, backed by independent, state-authorized audits designed to catch a model that behaves differently under evaluation than in the real world.
AI Verified source (Oct 1, 2026)

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V. Ramgopal Rao
Indian nanoelectronics researcher, IEEE Fellow, and Vice-Chancellor of BITS Pilani.

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votes For and says:

Independent audits could help, but there needed to be clarity over who selects auditors, what standards they use, how much access they receive and whether findings are made public. [...] Some of these voluntary commitments would eventually need statu...
more AI Verified source (Oct 1, 2026)

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Rob Reich
Political scientist and professor at Stanford

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votes For and says:

Developers should not be the sole judges of the systems they build. It’s like asking students to grade their own homework. Independent evaluations, conducted by government or qualified third parties, should be a standard part of the AI ecosystem.
AI Verified source (Sep 22, 2026)

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Asad Baig
Technology-policy advocate, journalist, and founder of Media Matters for Democracy.

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votes For and says:

A better approach would be risk-based. Low-risk applications need little intervention, while systems crossing defined thresholds in areas such as cyber capability, biological risk, weapons, critical infrastructure or autonomous action should face muc...
more AI Verified source (Sep 21, 2026)

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BinaryBriefing
Daily technology news and reference publication covering AI, cybersecurity, technology policy, and emerging technology.

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votes For and says:

It is an argument for treating incident discovery and independent review as part of the safety system itself. If advanced agents can generate vast volumes of activity quickly, companies need clear thresholds for what gets escalated, investigated, ind...
more AI Verified source (Sep 19, 2026)

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Martin Novak
Founder of the Synthocracy Institute; author and independent researcher on AI, governance, institutional power, and decision systems.

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votes For and says:

The governance direction is therefore already visible: developer evidence → independent review → public-law standing.
AI Verified source (Sep 12, 2026)

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Richard Blumenthal
U.S. Senator from Connecticut

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votes For and says:

In the face of a stunning failure, OpenAI appears to be taking steps that prioritize the performance and profit of its A.I. models with the knowledge that those changes could be detrimental to public safety. This demonstrates the need for vigorous, m...
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Yoshua Bengio
AI Pioneer, Turing Award winner

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votes For and says:

It is really important, given the stakes, that people who develop AI and those who test it don’t have relationships with each other.
AI Verified source (Sep 1, 2026)

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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:

The current regime is definitely not optimal. While third-party evaluators try hard to be unbiased, a lab can decide to stop working with them any day for any reason whatsoever. We really need more stringent regulations to improve the incentives for ...
more AI Verified source (Sep 1, 2026)

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Brad Carson
Americans for Responsible Innovation president

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By establishing robust safety standards for developers, requiring independent assurance of those standards, and ensuring transparency into frontier AI development, the federal government can give the public meaningful protections while preserving Ame...
more AI Verified source (Aug 10, 2026)

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OpenAI Global Affairs
OpenAI's public policy team.

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At the federal level, our Frontier Safety Blueprint calls for the federal government to require annual independent audits of frontier developers’ safety frameworks and independent third party assessments of the most advanced models, including to moni...
more AI Verified source (Aug 7, 2026)

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Nathan DeBardeleben

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This paper therefore treats autonomous AI governance as a problem of infrastructure reliability. Its constructive proposal is engineered heterogeneity: the process that proposes an action should not serve as its sole approver and auditor. Independent...
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Keivan Navaie

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Building on a structured synthesis grounded in a preregistered bibliometric baseline, we identify five cross-cutting gap dimensions in current alignment research, including the near-absence of institutionalised independent verification. To address th...
more AI Verified source (Jul 27, 2026)

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J.B. Branch
AI Governance and Technology Policy Counsel at Public Citizen.

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votes For and says:

Congress must establish a comprehensive federal AI safety framework with mandatory safety testing, independent audits, incident reporting requirements, and regulators empowered to remove AI systems when they pose risks.
AI Verified source (Jul 27, 2026)

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Fathom
Independent nonprofit developing AI-governance and independent-verification frameworks.

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votes For and says:

The bill gets the fundamentals correct. It sets one public standard – the adequate mitigation of catastrophic risk – and holds both the AI companies and their independent verifiers accountable to it.
AI Verified source (Jul 23, 2026)

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Andrew Freedman
Co-Founder and CEO of Fathom, a nonprofit focused on independent AI verification and governance.

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What will work is a competitive market of independent verifiers who are accountable for real-world outcomes and who the government can actually count on.
AI Verified source (Jul 23, 2026)

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Scott Franklin
U.S. Representative from Florida; member of the House Appropriations Committee

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votes For and says:

By tying coverage to substantial AI research and development investments and requiring transparency and independent assessments from those developers, the bill avoids one-size-fits-all mandates and allows smaller innovators to spend their time buildi...
more AI Verified source (Jul 23, 2026) 1 of 2

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Greg Casar
U.S. Representative from Texas; Chair of the Congressional Progressive Caucus

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We need regular mandatory independent safety testing and oversight, mandatory disclosure of security incidents, and international cooperation to keep people safe from absolute disaster.
AI Verified source (Jul 23, 2026)

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Jay Obernolte
U.S. Representative from California

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Artificial intelligence is advancing rapidly, and Congress must ensure our regulatory framework keeps pace without undermining American innovation. The FRONTIER Act focuses oversight on the largest developers and most advanced models, requiring trans...
more AI Verified source (Jul 23, 2026)

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Olivier Sibony

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If we place our trust in these products or machines, it is not because they are simple, transparent or harmless. It is because, over decades, we have built a genuine infrastructure of trust around them: laws, regulations, oversight authorities, certi...
more AI Verified source (Jul 22, 2026)

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SaferAI
Nonprofit organization researching and promoting responsible frontier AI risk management and safety governance.

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These frameworks are now increasingly being used as a basis for external accountability mechanisms and are turning into regulatory infrastructure.
AI Verified source (Jul 15, 2026)

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Jack Clark
Anthropic co-founder and Head of Public Benefit

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votes For and says:

At this point, everyone at the frontier of AI agrees that third parties should test out AI systems and use these to develop standards to feed into policy.
AI Verified source (Jul 16, 2026) 1 of 3

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Chris Lehane
OpenAI chief global affairs officer

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Companies developing the most capable systems should meet clear requirements, including independent audits, incident reporting, strong security standards, and whistleblower protections.
AI Verified source (Jul 15, 2026)

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Demis Hassabis
Nobel laureate, AI Researcher and CEO of DeepMind

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Frontier labs would initially share their models with the body voluntarily, up to 30 days before release, for safety testing that probes dangerous cyber, biological and deception capabilities.
AI Verified source (Jul 14, 2026) 1 of 3

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