Mandate third-party audits for major AI systems

ai-governance ai-policy ai-regulation policy regulations transparency

Arguments for

External verification and trust

Proponents argue that the companies building major AI systems cannot be the only source of evidence about those systems or their claims. They say trust, accountability, and credibility require independent testing or audits rather than self-assessment, self-attestation, or voluntary disclosure alone.

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
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
Our Witness Tried benchmark shows that detection currently works least well for those most at risk, particularly in the global majority. Both must rest on independent third-party oversight. Trust verified by third parties, not asserted by the developers who profit from them.

Sam Gregory · Jul 7, 2026 · full quote
Because we lack a unified independent evidence that is outside of the companies that are developing these models, this undermines public trust and objective accountability of these companies.

Melat Bilge Demirkoz · Jul 7, 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
We set out to answer an important question: If we want responsible innovation and trustworthy AI, how do we hold AI systems — and the entities and individuals that develop, deploy, and use them — accountable? How do we ensure that they are doing what they say? For example, if an …

Alan Davidson · Mar 27, 2024 · full quote

Predeployment safety testing

Supporters say frontier or otherwise high-risk models should be tested by qualified third parties before release and monitored after deployment. In this view, systems that exceed risk thresholds or fail robust safety testing should not be deployed.

Models above a threshold of compute should undergo mandatory testing by a qualified third party for their level of risk in four specific areas: cybersecurity, biological weapons, loss of control of AI systems, and automated R&D that could accelerate these other risks.

Dario Amodei · Jun 10, 2026 · full quote
Frontier AI models, like airplanes, should be required to go through technical testing and auditing, and their release should be blocked or reversed as a threat to public safety if they do not meet high standards of safety.

Dario Amodei · Jun 10, 2026 · full quote
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
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
AI chatbots and companions should be subject to mandatory pre-deployment testing and reliable post-deployment monitoring by independent, qualified third parties, with results reported to the regulator/oversight body.

UNICEF · Jun 2026 · full quote
The crucial thing is that there is an external evaluation system that can test, by an independent agency or authority, that an AI system is safe and reliable before it goes to market, just as Max was discussing.

Anthony Aguirre · Feb 2, 2026 · full quote

Rights and fairness protections

Another case for audits is that they can surface bias, discrimination, and other harms in systems used on people or affecting vulnerable groups. Proponents call for assessments that examine civil rights, privacy, safety, gender and child impacts, and demographic disparities throughout the lifecycle.

Brazil supports governance frameworks that promote algorithmic transparency, accountability mechanisms, independent auditing, due diligence by governments and private companies, and effective safeguards against discrimination, manipulation, and widening of social and economic ine…

Government of Brazil · Jul 7, 2026 · full quote
Gender and child rights impact assessment must be mandatory, conducted before deployment with affected communities participating, not merely documented.

Nighat Dad · Jul 7, 2026 · full quote
To achieve this, we need robust safeguards. AI-generated content should be clearly labelled and traceable to combat deepfakes and misinformation. Independent audits and transparency requirements should ensure that algorithms are free from bias and discrimination. Human oversight …

Mehmet Akalin · Jun 24, 2026 · full quote
Mandating pre-deployment and ongoing impact assessments through independent auditors that examine the validity of an AI tool; risks to workers’ civil rights, privacy, and safety; and the availability and utility of alternative tools and accommodations.

Alexandra Reeve Givens · Jan 14, 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
This bill requires deployers and developers to conduct independent audits, submit reports to the Attorney General, and implement risk management programs and policies. These measures are all best practices to ensure any AI system that companies use is safe, fair, and accurate. In…

Kara Williams · Jan 15, 2026 · full quote

Governance infrastructure

Some supporters frame audits as part of a broader governance architecture that includes common standards, certification, incident reporting, transparency, and qualified independent evaluators. They argue external testing can turn safety frameworks into durable regulatory infrastructure instead of leaving governance to company claims.

These frameworks are now increasingly being used as a basis for external accountability mechanisms and are turning into regulatory infrastructure.

SaferAI · Jul 15, 2026 · full quote
Independent third-party AI testing and assurance providers play an important role in translating AI safety research into repeatable evaluation methods, objective testing reports, certification schemes, and practical risk management support for industry.

The 2026 Singapore Consensus on Global AI Safety Research Priorities · Jul 2026 · full quote
Companies developing the most capable systems should meet clear requirements, including independent audits, incident reporting, strong security standards, and whistleblower protections.

Chris Lehane · Jul 15, 2026 · full quote
Before 2027 dialogue, we should advance shared terminology, comparable risk classifications, consistent documentation, interoperable incident reporting, and multilingual evaluation methods, while building pathways towards mutual recognition of testing, auditing, and certification…

Government of Costa Rica · Jul 7, 2026 · full quote
UN organizations must play a frontline role in drawing up safety and security standards that are common to us, then disseminating them among states. We must also collectively tackle the issue of independent evaluation of AI models before their rollout.

Government of France · Jul 7, 2026 · full quote
Ensuring that external evaluators meet appropriate independence and qualification requirements is critical for the credibility and effectiveness of this evaluation framework.

European AI Office · Jun 12, 2026 · full quote

Arguments against

Premature audit mandate

Critics say a legal audit mandate is premature because there are not yet recognized frontier-model audit standards, certified auditors, settled methodologies, or enough qualified providers. In their view, companies could face penalties for failing to satisfy requirements that cannot yet be done robustly or uniformly.

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
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
Finally, it’s not clear how well some of the act’s provisions reflect the current state of the AI ecosystem. The act demands that labs hire an independent third party to complete an annual audit of their protocols to ensure compliance with the act. Tellingly, the act does not gra…

Kevin Frazier · Jun 3, 2025 · full quote
TechNet believes it is premature to mandate independent third-party auditing of AI systems. Mandating an independent audit before appropriate technical standards and conformity assessment requirements are established could open AI systems to national security threats, trade secre…

TechNet · 2025 · full quote
You’ll see industry oppose outside auditors and the main reason is they would mandate something that can’t be done [today] in a robust and uniform manner.

Paul Lekas · Jul 8, 2026 · full quote

Compliance cost burden

Opponents argue that repeated third-party audits, reporting, and disclosure duties would be easier for the largest developers to absorb than for smaller employers and businesses that use AI. They say those firms would have to buy outside auditing services and could face substantial, unpredictable added costs.

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
The onerous audit and reporting requirements for both AI developers and AI deployers are concerning for several reasons. The bill requires significant and costly third-party audits to be conducted by both developers and deployers. For any business to comply, they will be forced t…

Chelsea Lemon · Jan 15, 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 warn that aggressive auditing and data-sharing requirements could expose trade secrets, private records, or even national-security-sensitive information. They also object to private outside actors making subjective compliance judgments without clearer guardrails.

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
TechNet believes it is premature to mandate independent third-party auditing of AI systems. Mandating an independent audit before appropriate technical standards and conformity assessment requirements are established could open AI systems to national security threats, trade secre…

TechNet · 2025 · 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

Middle ground

Phase-in approach

Some quotes support independent evaluation but favor starting with voluntary sharing or voluntary audits overseen by an independent or federally backed body. On this view, formal mandates should follow only after the testing regime has shown it is effective and robust.

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
AI has tremendous potential to improve our lives, but without sufficient guardrails, it also poses significant risks. Under SB 813, California will become the first state to create voluntary standards for the responsible development of AI. I’m also proud to partner with Asm. Baue…

Jerry McNerney · Jun 17, 2026 · full quote

Risk-based scope

Several quotes describe external audits as most important for frontier, high-risk, or above-threshold systems rather than every AI use. This framing ties audit obligations to capability or use-case risk and can narrow where mandates apply.

Models above a threshold of compute should undergo mandatory testing by a qualified third party for their level of risk in four specific areas: cybersecurity, biological weapons, loss of control of AI systems, and automated R&D that could accelerate these other risks.

Dario Amodei · Jun 10, 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
External assurance is perhaps most critical for frontier AI models. The irreversible, high-stakes nature of frontier model risks, such as chemical, biological, radiological, or nuclear (CBRN) risks, demands pre-deployment evaluations conducted by trusted, independent assurers.

Jacob Pratt · Mar 26, 2026 · full quote
This bill would require large frontier AI developers to annually retain an independent third-party verifier to assess their compliance with their own AI safety frameworks.

Andrew Gounardes · May 15, 2026 · full quote
Illinois is the first state to mandate independent third-party evaluations of AI safety practices by large AI developers. We hope federal policymakers will pay close attention to how it works.

Nick Beckstead · Jul 6, 2026 · full quote

Insights

Even some opposing quotes endorse independent or voluntary audits, so disagreement often centers on compulsion, timing, and institutional design rather than the value of any outside review.
Both supporters and critics frequently narrow the debate to frontier, high-risk, or above-threshold systems rather than all AI uses.
Supporters usually describe audits as one part of a wider regime that also includes incident reporting, transparency, certification, whistleblower protections, or deployment controls.
Questions about auditor independence and qualification recur across proposals, including concerns about financial conflicts of interest.
In this sample, supportive voices come from AI labs, governments, nonprofits, and assurance specialists, while most objections come from trade associations and business advocates.

Many quotes endorse independent scrutiny of powerful AI systems as a way to make safety and accountability claims verifiable. The central dispute is whether law should mandate third-party audits now, with supporters stressing the need for predeployment assurance and critics arguing that standards, auditor capacity, costs, and confidentiality protections are not yet ready for an enforceable regime. A narrower middle position favors phasing in audits or limiting mandates to frontier or other high-risk systems.

Cast your vote:

Results (170 votes):

Total (170 votes)

For 153 (90%) Abstain 0 (0%) Against 17 (10%)

For (149)

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

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votes For and says:

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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votes For and says:

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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votes For and says:

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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Iqbal Mohamed
UK Member of Parliament for Dewsbury and Batley; former pharmaceutical regulatory professional.

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votes For and says:

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...
more AI Verified source (Jul 8, 2026)

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Philippines National Police
National police service of the Philippines, represented at the 2026 UN Chiefs of Police Summit.

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Deployment must be accompanied by published guidelines and independent audits.
AI Verified source (Jul 8, 2026)

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Brendan Steinhauser
CEO of The Alliance for Secure AI; longtime Republican political strategist and former Tea Party organizer

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votes For and says:

Governor Pritzker deserves credit for signing this important bill into law, which was passed with strong bipartisan support. Illinois is now the first state to require independent, third-party audits of the largest AI developers’ safety practices. Wi...
more AI Verified source (Jul 8, 2026)

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Ravn Samboepele
Co-founder and CEO of Credo AI, an AI governance company.

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votes For and says:

Accountability must be engineered before deployment with the permission, oversight, audit trail need to be designed to build a time-based, not added after an incident.
AI Verified source (Jul 7, 2026)

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Cooley LLP
International law firm publishing analysis of AI regulation and technology policy.

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votes For and says:

Illinois moves beyond transparency toward independent auditing. The statute reflects the view that AI governance programs should not only be self-reported, but also undergo external verification.
AI Verified source (Jul 7, 2026)

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Peggy Hicks
Director of the Thematic Engagement, Special Procedures and Right to Development Division at the UN Office of the High Commissioner for Human Rights; moderator at the 2026 UN Global Dialogue on AI Governance.

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votes For and says:

We need independent audit certifications and oversight built in.
AI Verified source (Jul 7, 2026)

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Volker Türk
UN human rights chief

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Before a new drug reaches the market, it undergoes years of clinical trials, regulatory review, and market authorization. And this process can last between 10 and 15 years. Many drugs fail due to lack of effectiveness or safety concerns. And even wit...
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Rebecca Finlay
CEO of Partnership on AI.

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votes For and says:

Trust must be built through verifiability that is fostered through independent third-party testing, disclosure across the AI value chain, including incident reporting.
AI Verified source (Jul 7, 2026)

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Government of Brazil
National government of Brazil, speaking through its delegation at the UN Global Dialogue on AI Governance in July 2026.

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Brazil supports governance frameworks that promote algorithmic transparency, accountability mechanisms, independent auditing, due diligence by governments and private companies, and effective safeguards against discrimination, manipulation, and widen...
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Government of Costa Rica
National government of Costa Rica, speaking at the UN Global Dialogue on AI Governance.

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Before 2027 dialogue, we should advance shared terminology, comparable risk classifications, consistent documentation, interoperable incident reporting, and multilingual evaluation methods, while building pathways towards mutual recognition of testin...
more AI Verified source (Jul 7, 2026)

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Nighat Dad
Founder of the Digital Rights Foundation and digital-rights advocate.

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votes For and says:

Gender and child rights impact assessment must be mandatory, conducted before deployment with affected communities participating, not merely documented.
AI Verified source (Jul 7, 2026)

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Melat Bilge Demirkoz
Member of the UN Independent International Scientific Panel on AI; physicist and researcher.

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votes For and says:

Because we lack a unified independent evidence that is outside of the companies that are developing these models, this undermines public trust and objective accountability of these companies.
AI Verified source (Jul 7, 2026)

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Jalekam Kakkar
Executive Director of the Centre for Communication Governance at National Law University Delhi.

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votes For and says:

So every system, you know, predeployment through the design stage needs to be thought through. We need to have certification and post-deployment monitoring of harms and impacts.
AI Verified source (Jul 7, 2026)

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Government of France
National government of France, represented at the UN Global Dialogue on AI Governance.

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UN organizations must play a frontline role in drawing up safety and security standards that are common to us, then disseminating them among states. We must also collectively tackle the issue of independent evaluation of AI models before their rollou...
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Xinchen Hua Lu
UN AI panel member and researcher at CSIRO Australia.

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votes For and says:

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.
AI Verified source (Jul 7, 2026)

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UN Women
United Nations entity dedicated to gender equality and the empowerment of women.

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votes For and says:

AI should not be deployed without mandatory safeguards to ensure it is safe, accountable, and does not cause harm for anyone, of course including women and girls.
AI Verified source (Jul 7, 2026)

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Government of Latvia
National government of Latvia, speaking through its delegation at the UN Global Dialogue on AI Governance in July 2026.

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votes For and says:

Trust must be demonstrated through practical verifiability, transparent governance, data policies, and independent testing of high-risk applications throughout their lifecycle.
AI Verified source (Jul 7, 2026)

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Sam Gregory
Executive Director, WITNESS

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Our Witness Tried benchmark shows that detection currently works least well for those most at risk, particularly in the global majority. Both must rest on independent third-party oversight. Trust verified by third parties, not asserted by the develop...
more AI Verified source (Jul 7, 2026)

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Eugênio Garcia
Brazilian ambassador and diplomat engaged in AI governance discussions

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votes For and says:

Brazil supports governance frameworks that promote algorithmic transparency, accountability mechanisms, independent auditing, due diligence by governments and private companies, and effective safeguards against discrimination, manipulation, and widen...
more AI Verified source (Jul 7, 2026)

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California Office of Data and Innovation
California state office that sets data and digital service policy across the executive branch.

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votes For and says:

Bias and Impact Assessments: Evaluate models for potential disparate impacts across demographic groups and document findings. If a model is used to inform decisions about people, such as benefits eligibility or hiring, departments should conduct an a...
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Raman Chaudhuri
CEO and co-founder of Humane Intelligence, an AI evaluation company.

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votes For and says:

First is creating independent evaluation bodies.
AI Verified source (Jul 6, 2026)

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State of Illinois
U.S. state government; publisher of official announcements on Illinois artificial intelligence law and policy.

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votes For and says:

The legislation requires regular independent third-party safety audits of covered AI systems, ensuring oversight is conducted by qualified experts without financial conflicts of interest.
AI Verified source (Jul 6, 2026) 1 of 2

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JB Pritzker
Governor of Illinois; signed the Artificial Intelligence Safety Measures Act in 2026.

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votes For and says:

The third-party evaluations are intended to secure oversight of these AI firms “by qualified experts without financial conflicts of interest.”
AI Verified source (Jul 6, 2026)

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Maria Collett
Pennsylvania state senator representing the 12th District.

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votes For and says:

Developers will also be required to engage an independent third-party auditor each year to verify adherence to published safety practices.
AI Verified source (Jul 6, 2026)

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Steve Wimmer
Senior Technical and Policy Advisor at Transparency Coalition; advocates accountable AI governance and state leadership.

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votes For and says:

SB 315 passed with overwhelming bi-partisan support because lawmakers recognize the same basic truth: the public demands safety and transparency from the AI companies shaping their future. Illinois has created a new template for responsible AI govern...
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Óscar López Águeda
Spanish digital transformation minister.

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votes For and says:

Governance requires independent evaluation mechanisms, shared standards, and coordination, of course.
AI Verified source (Jul 6, 2026)

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Sunny Gandhi
Encode AI political affairs VP

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votes For and says:

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. Il...
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Cesar Fernandez
Head of U.S. State and Local Government Relations at Anthropic

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votes For and says:

SB 315 makes Illinois the first state to pair AI transparency requirements with independent verification, an important step toward the accountability this technology demands. Anthropic is proud to have been the first AI lab to support this bill, and ...
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Nick Beckstead
CEO of the Secure AI Project; advocate for AI safety policy and evaluation standards.

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votes For and says:

Illinois is the first state to mandate independent third-party evaluations of AI safety practices by large AI developers. We hope federal policymakers will pay close attention to how it works.
AI Verified source (Jul 6, 2026)

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Alex Meinke
AI safety researcher at Apollo Research, focused on evaluations and alignment of frontier AI systems.

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votes For and says:

Training-run assessments conducted by a 3rd party should become a standard part of frontier AI safety.
AI Verified source (Jul 5, 2026)

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Georgia Office of Artificial Intelligence
Georgia state government office issuing AI guidance and governance resources.

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votes For and says:

Agencies are responsible for all outputs produced using AI tools. Processes should be in place to review, approve, and audit AI-assisted work. Audit logs and documentation should be maintained where applicable to support compliance and oversight.
AI Verified source (Jul 2, 2026)

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Future of Life Institute
Nonprofit on existential risks

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votes For and says:

As US/EU compliance deadlines near, Anthropic, OpenAI, Google DeepMind, Meta, and xAI published and updated fuller frameworks — yet they sometimes lack quantitative thresholds, genuinely independent audits, and clear decision authority.
AI Verified source (Jul 2026)

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Maria Ressa
Nobel Peace Prize laureate; journalist; CEO and co-founder of Rappler

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votes For and says:

How can you act on something that isn't transparent? And this goes back to power and concentration. You can't govern concentration you can't see. So independent third-party assessment, right, like that—the report's pharmaceutical, aeronautic analogy....
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The 2026 Singapore Consensus on Global AI Safety Research Priorities
July 2026 international consensus report on AI safety research priorities produced by over 100 contributors from 13 countries.

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votes For and says:

Independent third-party AI testing and assurance providers play an important role in translating AI safety research into repeatable evaluation methods, objective testing reports, certification schemes, and practical risk management support for indust...
more AI Verified source (Jul 2026)

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Mehmet Akalin
Turkish parliamentarian; member of the Parliamentary Assembly of the Council of Europe.

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votes For and says:

To achieve this, we need robust safeguards. AI-generated content should be clearly labelled and traceable to combat deepfakes and misinformation. Independent audits and transparency requirements should ensure that algorithms are free from bias and di...
more AI Verified source (Jun 24, 2026)

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Oregon Youth Authority
Oregon state agency responsible for youth corrections and rehabilitation services.

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votes For and says:

AI systems must be subject to continuous audits measuring fairness, accuracy, safety, and efficiency, with clear reporting to Oregonians.
AI Verified source (Jun 22, 2026)

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Cloud Security Alliance
Nonprofit organization focused on cloud computing and AI security best practices.

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votes For and says:

Conduct independent audit and assurance assessments according to relevant standards at least annually.
AI Verified source (Jun 22, 2026) 1 of 3

added 2d ago

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Jerry McNerney
California state senator

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AI has tremendous potential to improve our lives, but without sufficient guardrails, it also poses significant risks. Under SB 813, California will become the first state to create voluntary standards for the responsible development of AI. I’m also p...
more AI Verified source (Jun 17, 2026)

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Rebecca Bauer-Kahan
California State Assembly member

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votes For and says:

Good AI policy requires independent verification of safety. AB 1405 will take a significant step in creating the ecosystem for independent verification to become a reality. By working in concert with Sen. McNerney we are building a framework where Ca...
more AI Verified source (Jun 17, 2026)

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Manoj Saxena
Responsible AI Institute founder and chair

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votes For and says:

Classification, controls, and independent verification will be essential to deploying these systems safely and responsibly.
AI Verified source (Jun 15, 2026)

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European AI Office
European Commission body implementing and enforcing the EU AI Act.

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Ensuring that external evaluators meet appropriate independence and qualification requirements is critical for the credibility and effectiveness of this evaluation framework.
AI Verified source (Jun 12, 2026) 1 of 2

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Office of the Privacy Commissioner of Canada
Canada’s independent federal privacy regulator.

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votes For and says:

Provide the OPC with an annual third-party audit – by a qualified independent third-party – of Standalone Grok, @Grok, and Grok on X’s safeguards, including statistics on their effectiveness, until the issue of sexualized deepfakes is fully resolved.
AI Verified source (Jun 11, 2026)

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Anthropic
AI safety research company

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Our Advanced AI Framework proposes mandatory independent safety testing for frontier models, transparency requirements, and government authority to block or recall dangerous AI deployments.
AI Verified source (Jun 12, 2026) 1 of 2

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Dario Amodei
CEO at Anthropic

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votes For and says:

Frontier AI models, like airplanes, should be required to go through technical testing and auditing, and their release should be blocked or reversed as a threat to public safety if they do not meet high standards of safety.
AI Verified source (Jun 10, 2026) 1 of 3

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MLCommons
Nonprofit consortium that develops benchmarks and standards for AI systems, including AI safety and reliability evaluation.

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votes For and says:

The discipline is to communicate the general case, never the instances, and never to accept self-attestation alone as proof that something was fixed.
AI Verified source (Jun 9, 2026)

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Nicholas Garcia
Senior Policy Counsel at Public Knowledge, working on technology policy and AI governance.

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We cannot advance AI innovation and adoption without trust, and trust is earned through more transparency, independent evaluation, and clear mechanisms for accountability.
AI Verified source (Jun 4, 2026)

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LatticeFlow AI
AI assurance company focused on testing, evaluating, and governing AI systems.

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votes For and says:

The most capable frontier AI models cannot be assessed solely by the organizations that build them.
AI Verified source (Jun 4, 2026)

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Martyn Redstone
Head of Responsible AI and Industry Engagement at Warden AI; expert on independent AI auditing and responsible AI in HR technology.

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votes For and says:

A third-party AI audit is the most effective way to [identify and fix] potential issues before they ever impact your business. It’s a strategic investment that provides an objective, expert assessment of your system’s risks.
AI Verified source (Jun 4, 2026)

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Lionel Tarassenko
Oxford engineer and Crossbench life peer

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votes For and says:

It would make provision for its functions in relation to the testing and evaluation of advanced AI systems, including pre-deployment and post-deployment assessment of risks, and for the institute to give advice to the Government and Parliament.
AI Verified source (Jun 4, 2026)

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European Commission
EU's executive body

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votes For and says:

Cloud computing service providers seeking recognition under Article 17 for Union assurance levels 2, 3 or 4 must undergo, at their own expense, independent third-party audits to obtain an audit report and audit opinion.
AI Verified source (Jun 3, 2026)

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Lori Trahan
U.S. representative from Massachusetts

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votes For and says:

Require the largest AI companies to publish and comply with safety frameworks, submit to third-party audits, and ensure whistleblowers are protected.
AI Verified source (Jun 1, 2026)

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UNICEF
UN children’s agency

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votes For and says:

AI chatbots and companions should be subject to mandatory pre-deployment testing and reliable post-deployment monitoring by independent, qualified third parties, with results reported to the regulator/oversight body.
AI Verified source (Jun 2026)

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Google
Search and advertising company

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votes For and says:

Annual Independent Procedural Audits In the near term, a FARO could oversee an independent procedural audit regime for frontier AI companies. Such audits could be performed by well-established professional audit organizations on an annual basis, wit...
more AI Verified source (Jun 2026)

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Virginia Information Technologies Agency
Virginia state technology agency responsible for statewide IT policy and standards.

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Agencies shall conduct annual audits of high-risk AI systems to verify compliance with data minimization requirements, proper consent documentation, maintenance of access records, and fulfillment of data subject requests. Audit results shall be submi...
more AI Verified source (Jun 2026)

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OpenAI
AI research organization

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votes For and says:

Large frontier developers should annually retain an independent third party to audit compliance with frontier safety requirements, including implementation of the developer’s frontier AI framework, internal controls, and governance structures.
AI Verified source (Jun 2, 2026) 1 of 5

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AIQA Global
Independent AI governance rating firm publishing standards for third-party AI assurance.

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votes For and says:

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.
AI Verified source (May 28, 2026)

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Illinois General Assembly
State legislature of Illinois, United States.

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votes For and says:

It would also mandate annual independent third-party audits of such AI companies on safety issues, which would be a first for any AI legislation in the U.S.
AI Verified source (May 27, 2026) 1 of 2

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Daniel Didech
Illinois State Representative (Democrat); lead House sponsor of SB 315, the Artificial Intelligence Safety Measures Act

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votes For and says:

This legislation enacts critical protections against the most catastrophic risks that advanced AI systems pose to public safety. Artificial intelligence is among the most significant technological developments of modern time. It has the potential to ...
more AI Verified source (May 27, 2026)

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Jonathan Iwry
Fellow at the Wharton Accountable AI Lab, researching AI governance and regulatory policy.

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votes For and says:

Even the companies developing them seem unable to reliably predict or control the systems’ behavior. Against that backdrop, requirements like transparency, testing and auditing should probably be understood as foundational safeguards rather than the ...
more AI Verified source (May 22, 2026)

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Sam Liccardo
U.S. Representative from California's 16th congressional district.

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votes For and says:

Several colleagues have proposed good first steps, such as enacting federal equivalents to requirements approved in California for frontier model developers to publish safety protocols, independent evaluations and testing results.
AI Verified source (May 22, 2026)

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Global Network Initiative
International multistakeholder initiative focused on freedom of expression, privacy, and responsible technology governance.

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Building durable third-party shared testing, evaluation, and reporting ecosystems capable of operating over decades.
AI Verified source (May 21, 2026)

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Apollo Research
AI safety research organization

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votes For and says:

To address this emerging challenge and guarantee state-of-the-art AI assurance, external evaluators need deeper access, including white-box access, to counter evaluation awareness.
AI Verified source (May 20, 2026) 1 of 2

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Scale AI
Artificial intelligence company providing data, evaluation, and testing infrastructure.

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The problem is that these efforts are ad hoc and inconsistent, not the systematic approach that should be required.
AI Verified source (May 20, 2026)

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Micah Weinberg
Carnegie California scholar

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The most important near-term investments needed, therefore, are not in AI capability development but in democratic governance infrastructure: standard-setting (such as certification frameworks for algorithmic transparency, third-party safety standard...
more AI Verified source (May 19, 2026)

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Mary Edly-Allen
Illinois State Senator (D-Libertyville); lead sponsor of SB 315, a frontier AI safety and transparency bill requiring independent third-party audits of major AI developers

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votes For and says:

Requires large frontier developers to create, implement, publish, and annually update a frontier AI framework addressing catastrophic-risk assessment, mitigations, cybersecurity, internal governance, third-party evaluations, and risks from internal u...
more AI Verified source (May 19, 2026)

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METR
Nonprofit AI safety research organization that evaluates frontier AI systems.

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votes For and says:

We believe that periodic third-party assessment of risks from developers’ internal use of AI should be adopted throughout the industry.
AI Verified source (May 19, 2026)

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Pope Leo XIV
Head of the Catholic Church

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It is not enough to invoke ethics in the abstract; robust legal frameworks, independent oversight, informed users and a political system that does not abdicate its responsibility are required.
AI Verified source (May 15, 2026)

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Andrew Gounardes
New York State Senator

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votes For and says:

This bill would require large frontier AI developers to annually retain an independent third-party verifier to assess their compliance with their own AI safety frameworks.
AI Verified source (May 15, 2026)

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Daphné Barbotte
EU Delegation official who delivered the European Union and Member States’ statement at the UN Global Dialogue on AI Governance.

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votes For and says:

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 ...
more AI Verified source (May 14, 2026)

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Alison Cerezo
Chief Science Officer at mpathic and licensed psychologist focused on AI safety in high-risk conversations.

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We need a shared, clinically grounded standard for AI behavior. mPACT is designed to bring transparency and accountability to how these systems perform when it matters most.
AI Verified source (May 12, 2026)

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Caroline Figueroa
Neuroscientist affiliated with Stanford University and Delft University of Technology, specializing in AI and mental-health research.

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votes For and says:

mpathic’s work is crucial because we still lack comprehensive, evidence-based, scalable, and clinically grounded frameworks. We need benchmarks like mPACT that evaluate AI models against multi-dimensional risks and clinical evidence. mpathic’s except...
more AI Verified source (May 12, 2026)

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mpathic
Clinician-founded AI safety company developing expert-led evaluations for high-risk AI interactions.

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votes For and says:

As more people turn to AI chatbots for everyday support, the need for evaluation standards shaped by clinicians has become more urgent. mPACT is designed to address this gap by applying expert clinical judgment to assess how models recognize risk, in...
more AI Verified source (May 12, 2026)

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Matt Johnson
KPMG US AI Audit and Assurance Leader.

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votes For and says:

Independent assurance is therefore increasingly critical and complex, as it must now provide objective validation over the entire AI ecosystem—from its cyber resilience to the integrity of the insights it generates.
AI Verified source (May 11, 2026)

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Matt Johnson
KPMG US AI Audit and Assurance Leader, commenting on independent assurance for AI systems.

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votes For and says:

Independent assurance is therefore increasingly critical and complex, as it must now provide objective validation over the entire AI ecosystem—from its cyber resilience to the integrity of the insights it generates.
AI Verified source (May 11, 2026)

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Gregory Falco
Cornell University assistant professor of mechanical and aerospace engineering; researcher on AI governance and safety assurance.

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votes For and says:

Rather than relying on a politicized government leveraging evaluations to control the AI systems that the public uses, the US could build “some form of independent audit.”
AI Verified source (May 6, 2026)

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Aaron Cooper
Senior Vice President of Global Policy at the Business Software Alliance, a trade association representing enterprise software companies.

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votes For and says:

The Center for AI Standards and Innovation (CAISI) brings the expertise and track record needed to partner with industry on the critical work of evaluating frontier AI models for safety and national security risks.
AI Verified source (May 5, 2026)

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Common Sense Media
Kids media and tech nonprofit

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votes For and says:

The Institute will establish safety standards, build open-source evaluations that AI developers can run against their models, independently test AI products, and publish the results to provide transparency and accountability.
AI Verified source (May 5, 2026)

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Chris Fall
Director of the Center for AI Standards and Innovation (CAISI) at NIST; former Energy Department official in the first Trump administration

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votes For and says:

Independent, rigorous measurement science is essential to understanding frontier AI and its national security implications.
AI Verified source (May 5, 2026)

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National AI Centre
Australian Government national centre providing guidance for responsible AI adoption.

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votes For and says:

For use cases requiring enhanced practices and GPAI systems, conduct independent (internal or external) and thorough review of testing and evaluation methodologies and results. Document and report any issues to the accountable person for the system.
AI Verified source (May 5, 2026)

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Daniela Amodei
President and co-founder of Anthropic.

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votes For and says:

Building safe AI for the next generation requires thoughtful collaboration, careful research, and safeguards grounded in real-world expertise. Like so many parents, I think about the impact this technology will have on young people and how important ...
more AI Verified source (May 5, 2026)

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Jonathan L. Zittrain
Director and co-founder of Harvard's Berkman Klein Center for Internet & Society.

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votes For and says:

This is a vital and urgent initiative to help all of us get an independent and more thorough sense not only of how models work in a beaker, but also how they are impacting the young people who use them.
AI Verified source (May 5, 2026)

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Vivek Murthy
Former U.S. Surgeon General (19th and 21st); physician and public health advocate

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votes For and says:

We are at great risk of making the same mistakes with AI that we made with social media: subjecting children to new technologies without adequate safety guardrails and thereby causing harm to countless lives. For all its potential uses, AI—and AI cha...
more AI Verified source (May 5, 2026)

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Wojciech Zaremba
Head of AI Resilience at the OpenAI Foundation; OpenAI co-founder.

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votes For and says:

AI holds enormous promise for young people, opening up new ways to learn, create, and explore their interests. As these tools become part of everyday life, it's important that they're designed to be safe, trustworthy, and appropriate for different st...
more AI Verified source (May 5, 2026)

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Ellen Pack
Co-CEO of Common Sense Media.

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votes For and says:

Making the AI that kids use safer is a collective challenge. It will take researchers, policymakers, and industry all pulling in the same direction. The Youth AI Safety Institute's role is to set a high bar: rigorous standards, independent testing, a...
more AI Verified source (May 5, 2026)

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James P. Steyer
Founder and CEO of Common Sense Media

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votes For and says:

AI is reshaping childhood and adolescence, yet we are making critical decisions about children's futures without the evidence we need to ensure it's safe and in their interest. The need for transparent AI safety standards and independent testing is m...
more AI Verified source (May 5, 2026)

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Government of Goa
State government of Goa, India; publisher of the Draft Goa Artificial Intelligence Policy 2026.

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Annual third-party audits for high-risk systems; incident-triggered audits as required; acceptance of ISO/IEC 42001-aligned audits to reduce compliance burden on vendors.
AI Verified source (May 2026)

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Ryan Greenblatt
Chief Scientist at Redwood Research; AI safety researcher; lead author of "Alignment faking in large language models"

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votes For and says:

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.
AI Verified source (Apr 27, 2026)

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David Lloyd
Chief AI Officer at Dayforce, writing on AI governance, workplace technology, and responsible deployment.

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If a high-risk model hasn’t been evaluated by independent experts, it isn’t ready for deployment in a live environment.
AI Verified source (Apr 23, 2026)

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Iskandar Haykel
Policy analyst and writer on frontier AI governance at Americans for Responsible Innovation.

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votes For and says:

The arrival of genuinely dangerous AI capabilities requires moving beyond the current scheme of voluntary, developer-controlled oversight toward independent, structured pre-deployment assurance.
AI Verified source (Apr 20, 2026)

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Alex Bores
New York State Assemblymember

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We shouldn’t let tech companies deploy potentially dangerous AI systems without safety testing.
AI Verified source (Apr 20, 2026) 1 of 2

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Government of South Africa
National government of South Africa, speaking through its delegation at the UN Global Dialogue on AI Governance in July 2026.

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votes For and says:

Apply the provisions of the European Union’s Digital Services Act which puts the onus on platform distributors to conduct risk assessments, develop mitigations, and report on their related performance for an independent audit.
AI Verified source (Apr 10, 2026)

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Jacob Pratt
AI assurance and policy researcher at Partnership on AI.

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votes For and says:

External assurance is perhaps most critical for frontier AI models. The irreversible, high-stakes nature of frontier model risks, such as chemical, biological, radiological, or nuclear (CBRN) risks, demands pre-deployment evaluations conducted by tru...
more AI Verified source (Mar 26, 2026)

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Erika Fille T. Legara
Physicist, data scientist, and AI-governance practitioner; managing director and chief AI and data officer of the Education Center for AI Research.

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Boards should also consider whether an independent, third-party audit of material AI systems is warranted, particularly for systems that affect customers, employees, or the public in consequential ways. As with financial auditing, independence streng...
more AI Verified source (Mar 24, 2026)

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Ram Periakaruppan
Vice President and General Manager of Network Test & Security at Keysight.

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AI is quickly becoming foundational infrastructure, and trust in these systems must be earned through transparent, independent validation.
AI Verified source (Mar 23, 2026)

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Vikram Phatak
CEO of NSS Labs, an independent cybersecurity testing organization.

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AI is rapidly becoming core infrastructure for the digital economy, and with that comes an urgent need for independent validation of the technologies designed to protect it.
AI Verified source (Mar 23, 2026)

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U.S. General Services Administration
U.S. federal agency responsible for government procurement, real estate, and technology policy.

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All high-impact use cases may be required to follow these practices before employing the AI into any use case: a. Complete an AI Impact Statement; b. Submit an AI system test plan that demonstrates real-world context testing and contestability as nec...
more AI Verified source (Mar 11, 2026)

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Jaspreet Pannu
Senior Scholar at the Johns Hopkins Center for Health Security and Assistant Professor at the Johns Hopkins Bloomberg School of Public Health, researching AI biosecurity.

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votes For and says:

These steps are directionally sound but not yet fully sufficient. AI companies should standardize what ‘significant enablement’ means across industry, expand independent third-party evaluations, continuously update baselines to avoid moving goalposts...
more AI Verified source (Feb 20, 2026)

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Mia Glaese
Vice President of Research at OpenAI.

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votes For and says:

The hardest problems won’t be solved by any one organisation working in isolation—we need independent teams testing different assumptions and approaches.
AI Verified source (Feb 19, 2026)

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Tony Porter
Chief Privacy Officer at Corsight AI and former UK surveillance commissioner.

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votes For and says:

Trust in AI is earned through evidence, not assertion. Operational confidence, public trust, and investor confidence all depend on the same thing: rigorous, independent validation. Internal testing matters, but it must be stress-tested by credible th...
more AI Verified source (Feb 19, 2026)

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Anthony Aguirre
Physicist; Future of Life cofounder

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votes For and says:

The crucial thing is that there is an external evaluation system that can test, by an independent agency or authority, that an AI system is safe and reliable before it goes to market, just as Max was discussing.
AI Verified source (Feb 2, 2026)

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Max Tegmark
Physicist, AI Researcher

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votes For and says:

The simple way to view this is that all of the diverse applications of AI simply have this same approach that we have in all other powerful industries, that it's the company's job to innovate and demonstrate to independent, government-appointed exper...
more AI Verified source (Feb 2, 2026)

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Pauline Neville-Jones
Former UK security minister

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votes For and says:

There has been an instance where an AI programme has escaped autonomously on to the internet. There are real risks. Therefore, corporate governance should be brought into play, and it should happen soon. Companies should be obliged to report both wha...
more AI Verified source (Jan 29, 2026)

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Michael Noetel
Associate Professor of Psychology at the University of Queensland, writing on AI safety and public trust.

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votes For and says:

Mandatory safety testing for frontier systems, independent audits, incident reporting, and whistleblower protections would bring Australia in line with emerging standards.
AI Verified source (Jan 27, 2026)

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National Institute for Occupational Safety and Health
United States federal research agency focused on worker safety and health.

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votes For and says:

An independent audit could be used to assess the risks of AI system capabilities through tools like algorithmic transparency.
AI Verified source (Jan 18, 2026)

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Miles Brundage
AI policy researcher; founder of AVERI (AI Verification Initiative); former OpenAI Head of Policy Research

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votes For and says:

AI companies shouldn’t be allowed to grade their own homework.
AI Verified source (Jan 15, 2026) 1 of 3

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Sorelle Friedler
Computer science professor at Haverford College and chair of the ACM U.S. Technology Policy Committee.

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votes For and says:

An audit and transparency into the safety and efficacy of the AI system. This is necessary for understanding the expected error rate, and thus for setting up the rest of the AI governance effort.
AI Verified source (Jan 15, 2026)

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Corinne Worthington
Advocacy and Community Engagement Manager at the Surveillance Technology Oversight Project (STOP); New York privacy and surveillance policy advocate.

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votes For and says:

Requiring developers and deployers to conduct rigorous and independent audits of their systems and report on those findings is the first step in cutting through the opacity surrounding AI threats and offering effective paths to remedy.
AI Verified source (Jan 15, 2026)

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Rumman Chowdhury
AI ethicist and Humane Intelligence CEO

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votes For and says:

By classifying these as “high‑risk AI systems” and requiring audits, risk‑management programs, and meaningful user rights, the bill locates AI governance where it belongs: in enforceable obligations, not voluntary ethics pledges.
AI Verified source (Jan 15, 2026)

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Kara Williams
Counsel at the Electronic Privacy Information Center (EPIC), working on AI and privacy policy.

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votes For and says:

This bill requires deployers and developers to conduct independent audits, submit reports to the Attorney General, and implement risk management programs and policies. These measures are all best practices to ensure any AI system that companies use i...
more AI Verified source (Jan 15, 2026)

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Alexandra Reeve Givens
President and CEO of the Center for Democracy & Technology; technology policy advocate and congressional witness.

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votes For and says:

Mandating pre-deployment and ongoing impact assessments through independent auditors that examine the validity of an AI tool; risks to workers’ civil rights, privacy, and safety; and the availability and utility of alternative tools and accommodation...
more AI Verified source (Jan 14, 2026)

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Lord Colgrain
Conservative hereditary peer in the UK House of Lords

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votes For and says:

The AI Safety Institute was launched, set up to test new types of AI before and after they are released.
AI Verified source (Jan 8, 2026)

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Baroness Kidron
British crossbench life peer, filmmaker, and advocate for children's digital rights and AI accountability.

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votes For and says:

In systems that shape our defence, policing, health service and democratic decision-making, sovereignty must be the default, with onshore audit and assurance, procurement that builds domestic capability, control over strategic pinch-points and the ul...
more AI Verified source (Jan 8, 2026)

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AI Verification and Evaluation Research Institute
Nonprofit research institute advancing independent auditing and evaluation of frontier AI systems.

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votes For and says:

We and others have therefore proposed requiring that third-party auditors verify the claims that AI companies make about their technology and evaluate AI systems and company practices against relevant standards.
AI Verified source (Jan 2026)

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Utah State Legislature
State legislature of Utah, author of 2026 legislation establishing AI companion-chatbot safety, monitoring, disclosure, and independent-evaluation requirements.

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votes For and says:

Beginning May 1, 2027, [a supplier shall] facilitate independent evaluation of the safety protocols by: (i) commissioning an independent assessment by a qualified third party that applies generally accepted industry standards for AI safety and risk m...
more AI Verified source (2026)

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New York State Assembly
State legislative chamber

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votes For and says:

later, a large developer shall annually retain a third party to perform an independent audit of compliance with the requirements of this section. Such third party shall conduct audits consistent with best practices. (c) The third party shall produce...
more AI Verified source (2025)

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Thomas P. DiNapoli
New York State Comptroller

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votes For and says:

Establishing good AI governance will require efforts on several fronts. We need a framework that sets clear boundaries for using AI and guidelines and training that help agencies understand and adhere to these standards. Systems must be tested, and n...
more AI Verified source (2025)

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Center for AI Policy (CAIP)
AI policy nonprofit organization

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votes For and says:

CAIP's primary recommendation is to implement mandatory third-party national security audits for advanced AI systems. This measure would enable security agencies to understand potential threats better and verify the safety of leading AI technologies.
AI Verified source (2025)

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Alan Davidson
US Commerce official; NTIA chief

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votes For and says:

We set out to answer an important question: If we want responsible innovation and trustworthy AI, how do we hold AI systems — and the entities and individuals that develop, deploy, and use them — accountable? How do we ensure that they are doing what...
more AI Verified source (Mar 27, 2024)

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Consumer Reports
Consumer advocacy nonprofit

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votes For and says:

Require companies that make tools used in consequential decisions to undergo independent, third-party testing for bias, accuracy and more pre-deployment, and regularly after deployment. Clear and consistent standards should be developed for testing a...
more AI Verified source (Mar 5, 2024)

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California State Legislature
State legislative body

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votes For and says:

(e) (1) Beginning January 1, 2026, a developer of a covered model shall annually retain a third-party auditor that conducts audits consistent with best practices for auditors to perform an independent audit of compliance with the requirements of this...
more AI Verified source (2024)

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Accountable Tech
Tech accountability advocacy nonprofit

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votes For and says:

Today, California Governor Gavin Newsom vetoed the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act (SB 1047) — a landmark bill that would have implemented crucial guardrails around AI development, including requiring pre-de...
more AI Verified source (2024)

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Scott Wiener
California state senator

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votes For and says:

Requiring companies get third-party safety audits by 2028.[...] “As AI technology continues its rapid improvement, it has the potential to provide massive benefits to humanity. We can support that innovation without compromising safety, and SB 1047 a...
more AI Verified source (2024)

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Lawrence Lessig
Harvard Law professor

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votes For and says:

At its core, SB1047 does one small but incredibly important thing: It requires that those developing the most advanced AI models adopt and follow safety protocols—including shutdown protocols—to reduce any risk that their models are stolen or deploye...
more AI Verified source (2024)

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Helen Toner
Interim Executive Director at Georgetown University's Center for Security and Emerging Technology (CSET); former OpenAI board member

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votes For and says:

And they should have to let in external AI auditors to scrutinize their work so that the companies aren't just grading their own homework.
AI Verified source (2024)

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John Hickenlooper
U.S. Senator from Colorado

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votes For and says:

But we can’t let an industry with so many unknowns and potential harms police itself. We need clear rules that we can rely on to prevent AI’s harms. And while those exact rules are still being discussed, what we do know is that in the long-term we c...
more AI Verified source (2024)

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Dewey Murdick
CSET executive director, AI governance

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votes For and says:

This approach likens AI models to spacecraft venturing into unexplored celestial territories. Think of each new AI model as a spaceship. Before it “launches,” developers need to provide the plans, clear the airspace for launch, etc. And, after launch...
more AI Verified source (Oct 24, 2023)

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Mustafa Suleyman
Microsoft AI CEO; author

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votes For and says:

So, an intergovernmental panel on A.I. would be one that has access to all of the largest commercial labs and academic labs all around the world developing these large language models. They would be able to probe them and test them, audit them, look ...
more AI Verified source (Aug 16, 2023)

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Darrell M. West
Brookings technology policy scholar

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votes For and says:

Since AI remains in the early stages of testing, it is important to have external monitoring of model results. Large language models should be tested through third parties and results made available to the public. That will help people understand how...
more AI Verified source (2023)

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Samuel Hammond
Director of AI Policy and Chief Economist at the Foundation for American Innovation

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votes For and says:

LLM scaling laws also suggest the computing resources required to train large models are a reasonable proxy for model power and generality. Consistent with our argument for refining the definition of AI systems, the NTIA should thus consider defining...
more AI Verified source (2023)

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UNESCO
UN agency for education, science, culture

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votes For and says:

Governments should adopt a regulatory framework that sets out a procedure, particularly for public authorities, to carry out ethical impact assessments on AI systems to predict consequences, mitigate risks, avoid harmful consequences, facilitate citi...
more AI Verified source (Nov 23, 2021)

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Holly Elmore
Founder and Executive Director of PauseAI US; evolutionary biologist and AI moratorium advocate

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votes For and says:

The governance of superintelligence has to represent the stakeholders of Earth— all people. AI companies cannot grade their own homework. They cannot be allowed to hold so much power that they eclipse democracy.
Unverifiable source (Mar 24, 2026)

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John Howell
Senior Policy Manager

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votes For and says:

PAI also welcomes the requirement for external evaluations of some GPAI models. Independent assessment of model capabilities and risks is crucial to ensure that evaluators have the broad range of expertise needed to do their job. It is also needed to...
more Unverifiable source (Jul 31, 2025)

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Gary Marcus
Professor of Psychology and Neural Science

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votes For and says:

OpenAI has also said, and I agree, “it’s important that efforts like ours submit to independent audits before releasing new systems”, but to my knowledge they have not yet submitted to such audits. They have also said “at some point, it may be import...
more Unverifiable source (2023)

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Nicol Turner Lee
Brookings senior fellow and CTI director

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votes For and says:

We need clear measures that ensure human oversight, disclosures, and independent audits over automated and autonomous decisions.
Unverifiable source (Jul 22, 2026)

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Kwame Raoul
Attorney General of Illinois; supports state AI guardrails and transparency in the absence of federal oversight.

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votes For and says:

This audit process mandates that the auditor has access to unredacted versions of the AI model.
Unverifiable source (Jul 6, 2026)

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Home Office
UK government department.

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votes For and says:

AI models will be independently tested for accuracy and bias, building on the government-funded rigorous approach already established for live facial recognition algorithms.
Disputed source (Jun 10, 2026)

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Ben Buchanan
White House AI special advisor

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votes For and says:

Congress should mandate audits of A.I. developers' safety claims and processes [...] requiring that they be conducted by independent expert bodies overseen by the government.
Disputed source (2026)

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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)

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votes For and says:

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 man...
more Disputed source (2026)

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Ursula von der Leyen
President of the European Commission

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votes For and says:

First of all, let’s not forget that A.I. is a tremendous opportunity — if used responsibly. But responsibility at the frontier cannot be left to chance or to any single company or country. Just as the world built institutions to govern nuclear power ...
more Disputed source (2024)

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Jack Clark
Anthropic cofounder and policy researcher

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votes For and says:

Frontier AI developers should commit to detailed and independently scrutinized scaling policies. Governments should work on national and international safety standards of AI training and deployment. Governments should require audits of AI systems dur...
more Disputed source (2023)

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Government of the United Kingdom
United Kingdom central government

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votes For and says:

Participating countries committed, depending on their circumstances, to the development of appropriate state-led evaluation and safety research while participating companies agreed that they would support the next iteration of their models to undergo...
more Disputed source (2023)

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Center for Research on Foundation Models (CRFM)
Stanford foundation models research center

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votes For and says:

6. External auditing. Providers of high-impact foundation models shall provide sufficient model access, as determined by the AI Office, to approved independent third-party auditors. Note: The AI Office should create and maintain a certification proce...
more Disputed source (2023)

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Ada Lovelace Institute
UK AI policy research institute

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votes For and says:

regularly reviewing and updating guidance to keep pace with technology and strengthen their abilities to oversee new AI capabilities setting procurement requirements to ensure that foundation models developed by private companies for the public sect...
more Disputed source (2023)

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Oren Etzioni
AI2 founder; UW professor

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votes For and says:

For both business and technical reasons, automatically generated, high-fidelity explanations of most AI decisions are not currently possible. That’s why we should be pushing for the external audit of AI systems responsible for high-stakes decision ma...
more Disputed source (2019)

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Electronic Frontier Foundation
We're a nonprofit that fights for your privacy and free speech online.

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votes For and says:

We doubt these algorithmic tools are ready for prime time, and the state of California should not have embraced their use before establishing ways to scrutinize them for bias, fairness, and accuracy. They must also be transparent and open to regular...
more Disputed source (2018)

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Against (17)

Paul Lekas
SIIA public policy executive

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votes Against and says:

You’ll see industry oppose outside auditors and the main reason is they would mandate something that can’t be done [today] in a robust and uniform manner.
AI Verified source (Jul 8, 2026)

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Kent Walker
Google President of Global Affairs

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votes Against and says:

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.
AI Verified source (Jun 25, 2026)

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Patrick Hedger
Director of Policy at NetChoice, a technology trade association.

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votes Against and says:

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.
AI Verified source (Jun 4, 2026)

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Jeremy Kudon
Executive director of the American Innovators Network, an AI-industry advocacy coalition.

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votes Against and says:

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 ...
more AI Verified source (May 29, 2026)

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Amy Bos
Vice President of Government Affairs

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votes Against and says:

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 f...
more AI Verified source (May 26, 2026)

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Consumer Technology Association
U.S. trade association representing the consumer technology industry and producer of CES

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votes Against and says:

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 additio...
more AI Verified source (May 22, 2026)

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Ninia Linero
Executive vice president for policy at TechNet, a technology trade association.

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votes Against and says:

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.
AI Verified source (May 20, 2026)

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Alexander Alonso
Chief Knowledge Officer at SHRM; submitted New York State Senate testimony on workplace AI in 2026.

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votes Against and says:

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.
AI Verified source (Jan 15, 2026)

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Chelsea Lemon
Senior Director of Government Affairs at The Business Council of New York State; business policy advocate on New York regulation and competitiveness.

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votes Against and says:

The onerous audit and reporting requirements for both AI developers and AI deployers are concerning for several reasons. The bill requires significant and costly third-party audits to be conducted by both developers and deployers. For any business to...
more AI Verified source (Jan 15, 2026)

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Heather Curry
BSA senior state advocacy director

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votes Against and says:

The Business Software Alliance is concerned by the New York State Senate’s passage of the New York AI Act. BSA is committed to helping policymakers develop legislation to address high-risk uses of AI, but this bill advanced through the New York Senat...
more AI Verified source (Jun 13, 2025)

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Kevin Frazier
Lawfare contributor

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votes Against and says:

Finally, it’s not clear how well some of the act’s provisions reflect the current state of the AI ecosystem. The act demands that labs hire an independent third party to complete an annual audit of their protocols to ensure compliance with the act. T...
more AI Verified source (Jun 3, 2025)

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TechNet
Tech industry trade association

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votes Against and says:

TechNet believes it is premature to mandate independent third-party auditing of AI systems. Mandating an independent audit before appropriate technical standards and conformity assessment requirements are established could open AI systems to national...
more AI Verified source (2025)

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Shaundra Watson
BSA Senior Director, Policy

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votes Against and says:

Despite the substantial benefits of internal impact assessments, there is a growing chorus of voices in AI policy discussions advocating for mandatory third-party audits. Supporters argue that external safeguards are needed to promote meaningful tran...
more AI Verified source (Oct 16, 2024)

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Databricks
Data and AI software company

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votes Against and says:

The AI audit ecosystem is not mature enough to support mandatory third-party audits.
AI Verified source (2024)

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Aswin Prabhakar
Policy analyst, Data Innovation

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votes Against and says:

Under the current stipulations, these researchers would be obligated to maintain extensive documentation for their model. Further, the language in Article 28b(2(a)) seems to imply that providers of foundation models would be required to contract thir...
more AI Verified source (Nov 20, 2023)

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U.S. Chamber of Commerce (C_TEC)
Largest U.S. business federation

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votes Against and says:

The Chamber recognizes the purpose of certification, audits, and assessments as a means for organizations to utilize repeatable and standard methodologies to help them improve the explainability of an algorithm. [...] Furthermore, there are strong ap...
more AI Verified source (2023)

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Jennifer Huddleston
Senior fellow, Cato Institute

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votes Against and says:

Mandated transparency may also not actually improve consumer education around their privacy choices. First, many consumers may grow fatigued and frustrated with the constant pop ups and consents as they do with current cookie pop ups. Second, a gover...
more Disputed source (Jun 28, 2024)

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