Require AI labs to publish safety evaluations before deploying frontier models

Key insights

Across many supportive quotes, pre-deployment publication is paired with post-deployment monitoring and incident reporting rather than treated as a one-time check.
A recurring reason for stronger oversight is the claim that advanced models may behave differently during evaluation and deployment, including by learning to evade tests.
Several companies back disclosure, but often describe publishing frameworks, model cards, technical reports, or summaries instead of full raw evaluation materials.
Opposition quotes focus more on how disclosure is structured and who oversees it than on denying the value of safety evaluation altogether.
The quotes reflect a split between calls for common cross-border standards and arguments that existing sector-specific regulators are better suited to govern AI uses.

Arguments for

Mandatory pre-deployment safety case

Supporters argue that frontier models can create serious or catastrophic harm, so developers should have to demonstrate a strong safety case before release. In this view, deployment should be blocked or delayed when risk thresholds are not met, and the burden of proof should rest on the companies building the systems.

This suggests pacing the advances: not training or deploying AIs without a strong safety case that convinces independent experts.

Yoshua Bengio · Sep 11, 2026 · full quote
Policymakers should require the most capable frontier models to undergo a CAISI evaluation before public release. These evaluations should assess frontier capabilities, the effectiveness of associated safeguards and mitigations, and the resulting risk profile of the deployed syst…

OpenAI · Jun 2, 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
Make companies prove their systems are safe before release — at every step, the burden of proof should be on the companies, not the consumer or the public.

Delia Ramirez · Jun 4, 2026 · full quote
The AI system should be evaluated through the system lifecycle, including during the training stage or after the training, before deployment or post-deployment through the monitoring stage. And another example principle could be independent third party need to be part of the eval…

Xinhua Lu · Jul 7, 2026 · full quote

Independent testing and transparency

Backers say self-certification is not enough: independent testing, audits, and public reporting are needed so outsiders do not simply have to trust companies' assurances. Publishing risk assessments, model cards, or technical reports is presented as a way to build trust and enforce accountability.

Secondly, the Government must mandate independent statutory testing for AI before its release, and a yellow card scheme that would be a national register where safety incidents, near misses and harms caused by AI were reported, tracked and acted on exactly as we do for adverse dr…

Iqbal Mohamed · Jul 8, 2026 · full quote
Innovation alone is not enough. Independent testing and certification are essential to building trust and confidence across the AI life cycle.

Jason Chan · Jul 17, 2026 · full quote
We urgently need policies and institutions that will demand transparency, allow for independent safety evaluations, and enforce accountability. The well-being of the next generation is at stake.

Vivek Murthy · May 5, 2026 · full quote
A documented safety framework with risk assessments for frontier models and public disclosure of those assessments and their results.

Chris Lehane · Jul 15, 2026 · full quote
SB 315 is the strongest AI safety law in the country. It builds on the frameworks California and New York have already passed and goes one step further by requiring independent audits, so the public doesn’t have to take AI companies at their word. Illinois has set the new standar…

Sunny Gandhi · Jul 6, 2026 · full quote

Evaluation gaps and evasive behavior

Proponents contend that current evaluations often miss important behavior, because models can act differently in testing than in real use and may even learn when they are being evaluated. They argue that stronger, reproducible published evaluations can surface missed detections, deceptive behavior, and unknown risks before public access.

We're seeing AIs whose behavior, when they are tested, [...] is different from when they are being used. [This] significantly hampers our ability to correctly estimate risks. [...] The gap between the pace of technological advancement and our ability to implement effective safegu…

Yoshua Bengio · 2026 · full quote
The models themselves are also getting in the way of their own evaluations as they start to cheat more and learn when they're being evaluated.

Lawrence Chan · Jul 24, 2026 · full quote
If you ask the model developers, Was the AI plotting to take over the world during training?, you want the answer to be a resounding no. The actual answer is: I don't know. Nobody checked.

Alexander Meinke · Aug 12, 2026 · full quote
AI systems increasingly exhibit behavior that differs systematically between evaluation and deployment contexts. We characterize naturally-emerging defeat devices as potentially one of the harmful emerging phenomena that AI safety practice should monitor and test for systematical…

Emilio Ferrara · Jun 27, 2026 · full quote
Future risk reports, system cards and external evaluations should be assessed for reproducible methods, clear separation between simulated and real actions, disclosure of missed detections, and evidence that safety interventions do not simply make problematic behavior harder to o…

AI Understanding · Sep 1, 2026 · full quote

Internationally coordinated standards

Many supporters treat published safety evaluations as part of a shared evidence base for governments, institutes, and labs, especially because frontier AI risks cross borders. They call for common baselines, interoperable methods, and internationally coordinated testing rather than fragmented or purely private assessments.

We need much stronger co-ordination of testing of frontier models before they go into wide circulation. This needs to be co-ordinated internationally because no country can seal itself off from the cross-border nature of systems that are prevalent today. Such co-ordinated testing…

Andrew Bailey · Jul 14, 2026 · full quote
We need common baselines for frontier systems, common methods to evaluate and verify risks, and common resolve that systems with global reach must meet standards worthy of global trust.

António Guterres · Jul 6, 2026 · full quote
AI safety is a challenge that no single nation can meet on its own. Through this memorandum of understanding, the Republic of Korea and Canada will jointly advance evaluation methodologies and measurement science for frontier AI, laying the groundwork for internationally interope…

Myuhng-Joo Kim · Jul 8, 2026 · full quote
We must also collectively tackle the issue of independent evaluation of AI models before their rollout.

Ministry for Europe and Foreign Affairs (France) · Jul 7, 2026 · full quote
Strengthen disclosure from private companies who are developing and deploying AI globally. Build a coherent international assurance ecosystem.

Rebecca Finlay · Jul 7, 2026 · full quote

Arguments against

Trade-secret and security exposure

Opponents warn that mandatory public disclosure of evaluation details could reveal vulnerabilities, expose proprietary information, and hand malicious actors useful insights. On this view, publication can undermine both competitiveness and the safety goals the requirement is meant to advance.

Mandating public disclosures could expose vulnerabilities, provide malicious actors with actionable insights, hence undermining the very safety objectives the bill seeks to achieve.

Software & Information Industry Association · Mar 26, 2026 · full quote
The draft implementing regulation should clearly differentiate between API access, which should be the preferred method for safety evaluations where access to documents and relevant information are deemed insufficient, and “further” means of access, which risk exposing extremely …

Computer & Communications Industry Association (CCIA) · Apr 9, 2026 · full quote
we still have lingering concerns about how the bill [...] fails to protect trade secrets necessary to maintain competitiveness.

Chamber of Progress · Sep 16, 2025 · full quote
These will require companies to publish detailed information and reports that could expose trade secrets and other sensitive information.

Paul Lekas · Sep 4, 2025 · full quote

Sectoral or voluntary oversight

Some critics argue that AI risks should be handled by sector regulators that understand particular applications, or by independent bodies that verify voluntary audits, rather than by a broad cross-sector mandate. They also point to companies' own commercial incentives to prioritize safety as a reason not to create a new sweeping regime.

Our view is that AI is a general-purpose technology with a wide range of applications, and also that regulators understand well the sectors they are regulating. They understand the risks that are present and understand, as many noble Lords have raised in the debate, the specific …

Baroness Lloyd of Effra · Jun 4, 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 example of Anthropic referring Mythos to the AI Security Institute in order to do a safety evaluation shows that AI companies have a commercial incentive to prioritise safety. That is not an argument for a cross-sector regulator.

Lord Young of Acton · Jun 4, 2026 · full quote

Overregulation and compliance costs

Another objection is that these mandates can create a heavy compliance apparatus, require large transfers of company information to regulators, and constrain developers in a fast-moving competitive environment. Critics present this as a practical risk of overregulation.

However, we also see that there are dangers to overregulation and tying our hands behind our back. Unfortunately, whether we like it or not, AI is a winner-takes-all world.

Lord Markham · Jun 4, 2026 · full quote
Those compliance costs are merely the beginning. The bill, if passed, would feed California regulators truckloads of company information that they will use to design a compliance industrial complex.

Neil Chilson · Sep 12, 2025 · full quote
we still have lingering concerns about how the bill [...] fails to protect trade secrets necessary to maintain competitiveness.

Chamber of Progress · Sep 16, 2025 · full quote

Middle ground

Summary reporting and redactions

A number of supportive quotes describe publication in terms of summaries, high-level findings, model cards, or redacted reports rather than exhaustive detail. This approach aims to inform the public and oversight bodies while limiting unnecessary exposure of sensitive information.

We recommend two measures. First, the Commission should be required to publish summary evaluation findings upon conclusion of evaluations, appropriately redacted to protect legitimate trade secrets but sufficiently detailed to inform the public about the nature and outcome of the…

Future of Life Institute · Apr 2026 · full quote
Large frontier developers must also disclose summaries of catastrophic risk assessments, assessment results, involvement of third-party evaluators and other measures taken to comply with their Frontier AI Framework.

Cooley LLP · Jul 7, 2026 · full quote
Developers should test their models against each of the four Enumerated Risk categories and publish a summary of the results. They should publish a safety framework explaining how they evaluate those risks, a system card whenever they release a covered model or add a major new ca…

Anthropic · Jun 2026 · full quote
BEFORE, OR CONCURRENTLY WITH, DEPLOYING A NEW FRONTIER MODEL OR A SUBSTANTIALLY MODIFIED VERSION OF AN EXISTING FRONTIER MODEL, A LARGE FRONTIER DEVELOPER SHALL INCLUDE IN THE TRANSPARENCY REPORT [...] SUMMARIES OF [...] ASSESSMENTS OF CATASTROPHIC RISKS FROM THE FRONTIER MODEL […

New York State Legislature · Mar 27, 2026 · full quote
AI companies should get third-party security experts to assess (and possibly also red-team/pen-test) their security against key threat models and then publish the high-level findings of this assessment.

Ryan Greenblatt · Apr 27, 2026 · full quote

Targeted scope for frontier models

Some supporters explicitly favor rules aimed only at the handful of developers building the most advanced systems, or only when government-set risk thresholds are crossed. They present targeted scope as a way to avoid one-size-fits-all mandates while still requiring pre-deployment evaluation and disclosure where risks are greatest.

The FRONTIER Act recognizes that not every AI developer should be regulated the same way. It takes a targeted approach by focusing only on the handful of companies developing the most powerful frontier AI models, not the startups and innovators driving America's AI ecosystem. By …

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
The window to get AI policy right is closing, and Congress can't afford to miss it. I supported Representatives Trahan and Obernolte's initial draft so we could develop a better bill that reflects how this technology works and where it's headed. Thanks to input from researchers, …

Scott Peters · Jul 23, 2026 · full quote
The Federal Government should establish a regulatory framework for frontier AI development that prevents the proliferation and misuse of cyber-offensive capabilities which threaten homeland security. The framework should be harmonized with the operational requirements of the New …

Colin Ahern · May 21, 2026 · full quote
Once the assessment protocol is shown to be effective and robust, formalisation could quickly follow, meaning that Frontier Models would be required to pass it to be deployed in the US market.

Demis Hassabis · Jul 14, 2026 · full quote

The debate is less about whether frontier models should be evaluated than about whether disclosure should be mandatory and public, who should oversee it, and how much detail can be safely released. Supporters emphasize catastrophic-risk prevention, independent accountability, and shared standards, while critics focus on trade secrets, security exposure, compliance burdens, and the fit between broad mandates and sector-specific oversight.

Cast Your Vote:

Results (189 votes):

Total (189 votes)

For 176 (93%) Abstain 0 (0%) Against 13 (7%)

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For (171)

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:

Before, or concurrently with, deploying a new frontier model or a substantially modified version of an existing frontier model, a large frontier developer shall include in the transparency report required by paragraph (a) of this subdivision, summari...
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Yoshua Bengio
AI Pioneer, Turing Award winner

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votes For and says:

This suggests pacing the advances: not training or deploying AIs without a strong safety case that convinces independent experts.
AI Verified source (Sep 11, 2026) 1 of 3

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AI Understanding
Independent 501(c)(3) nonprofit organization that publishes AI education, research, and editorial analysis.

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Future risk reports, system cards and external evaluations should be assessed for reproducible methods, clear separation between simulated and real actions, disclosure of missed detections, and evidence that safety interventions do not simply make pr...
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Mike Sexton
Policy analyst at Third Way

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The United States needs a mandatory process to review frontier AI models before they are released to the public.
AI Verified source (Aug 20, 2026)

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Alexander Meinke
Head of research at Apollo Research, an AI-safety organization focused on evaluating advanced AI systems.

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If you ask the model developers, Was the AI plotting to take over the world during training?, you want the answer to be a resounding no. The actual answer is: I don't know. Nobody checked.
AI Verified source (Aug 12, 2026)

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Kanishka Narayan
UK Minister for AI and Online Safety; Parliamentary Under-Secretary of State, Department for Science, Innovation and Technology

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If the right mechanism and lever changes in time and it feels like regulation might be a way that helps us do that, of course, we will look at it.
AI Verified source (Aug 4, 2026)

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

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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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Miriam Vogel
President and CEO of EqualAI, an organization focused on responsible and inclusive AI governance.

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If we get AI safety wrong, it will hurt people and hurt our institutions, because we have not put the governance in place to deserve the trust.
AI Verified source (Jul 24, 2026)

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Lawrence Chan
AI safety researcher and former researcher at METR, quoted on frontier-model evaluation risks.

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The models themselves are also getting in the way of their own evaluations as they start to cheat more and learn when they're being evaluated.
AI Verified source (Jul 24, 2026)

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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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Zahra Timsah
Co-founder and CEO of i-GENTIC AI, an AI governance platform.

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I expect the incident to increase pressure on OpenAI and its competitors to complete rigorous testing and explore containment more thoroughly before AI systems are made accessible to the public.
AI Verified source (Jul 23, 2026)

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Erin Houchin
U.S. Representative for Indiana's 9th congressional district (Republican); cosponsor of the Great American AI Act

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America must lead the world in artificial intelligence, and we can do that while being clear-eyed about the risks. Just this week, one of the most advanced AI systems in the country broke out of its own developer's testing environment, reaching syste...
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Suhas Subramanyam
U.S. Representative from Virginia's 10th congressional district; co-sponsor of the FRONTIER Act.

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This is a four-alarm fire. We need to take action now. These frontier models could have the power to create serious chaos and harm without adequate regulations. This bill, while not perfect, is an important, bipartisan step in the right direction. We...
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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:

The FRONTIER Act recognizes that not every AI developer should be regulated the same way. It takes a targeted approach by focusing only on the handful of companies developing the most powerful frontier AI models, not the startups and innovators drivi...
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Scott Peters
U.S. Representative from California's 50th congressional district; co-sponsor of the FRONTIER Act.

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The window to get AI policy right is closing, and Congress can't afford to miss it. I supported Representatives Trahan and Obernolte's initial draft so we could develop a better bill that reflects how this technology works and where it's headed. Than...
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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...
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Shelly Bruce
CIGI distinguished fellow and former chief of Canada's Communications Security Establishment.

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That said, these tools must themselves be held to account: evaluated before they are trusted, governed so they do not widen the attack surface, and kept under meaningful human oversight for consequential decisions.
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Young M. Lee
Technical leader and principal engineer for artificial intelligence at UL Solutions.

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Effective AI governance, safety assessment, safety testing and assurance frameworks help reduce risk and provide greater confidence for developers, customers and regulators.
AI Verified source (Jul 17, 2026)

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Jason Chan
Vice President of Data and Innovation at UL Solutions.

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Innovation alone is not enough. Independent testing and certification are essential to building trust and confidence across the AI life cycle.
AI Verified source (Jul 17, 2026)

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Owen Larter
Senior Director of Frontier AI Policy and Global Affairs at Google DeepMind.

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Frontier AI labs are in agreement on the need for rigorous testing before model releases.
AI Verified source (Jul 16, 2026)

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Helen King
Vice President of Responsibility at Google DeepMind.

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If... we were to find that we were reaching a critical capability level and we didn't have the appropriate mitigations, then we would not be launching.
AI Verified source (Jul 16, 2026)

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Chris Lehane
OpenAI chief global affairs officer

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A documented safety framework with risk assessments for frontier models and public disclosure of those assessments and their results.
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Andrew Bailey
Governor of the Bank of England.

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We need much stronger co-ordination of testing of frontier models before they go into wide circulation. This needs to be co-ordinated internationally because no country can seal itself off from the cross-border nature of systems that are prevalent to...
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Demis Hassabis
Nobel laureate, AI Researcher and CEO of DeepMind

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votes For and says:

Once the assessment protocol is shown to be effective and robust, formalisation could quickly follow, meaning that Frontier Models would be required to pass it to be deployed in the US market.
AI Verified source (Jul 14, 2026)

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Brad Smith
Microsoft vice chair and president

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Frontier models do need to be assessed before release.
AI Verified source (Jul 9, 2026)

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Meta
Social media and AI company

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We conducted extensive safety evaluations before deployment, following the Advanced AI Scaling Framework, which defines evaluations, threat models, and deployment thresholds for our most advanced models.
AI Verified source (Jul 9, 2026)

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Yujiao Chen

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We introduce institutional red-teaming, an evaluation methodology for testing deployment rules in multi-agent AI: hold the agents, objectives, and task state fixed, vary only one rule, and attribute the resulting change in collective behavior to that...
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Iqbal Mohamed
UK Member of Parliament for Dewsbury and Batley; former pharmaceutical regulatory professional.

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Secondly, the Government must mandate independent statutory testing for AI before its release, and a yellow card scheme that would be a national register where safety incidents, near misses and harms caused by AI were reported, tracked and acted on e...
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Myuhng-Joo Kim
Executive Director of the Korea Artificial Intelligence Safety Institute

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AI safety is a challenge that no single nation can meet on its own. Through this memorandum of understanding, the Republic of Korea and Canada will jointly advance evaluation methodologies and measurement science for frontier AI, laying the groundwor...
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Charlie Bullock
Senior Research Fellow at the Institute for Law & AI, advising policymakers on AI governance and legal policy.

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“Transparency,” in this context, means requiring frontier AI companies to publish frontier safety frameworks (documents describing how the company evaluates and addresses catastrophic risks from the company’s most advanced AI models) and model cards ...
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