Mandate third-party audits for major AI systems

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Key insights

Many supportive quotes pair audits with other tools such as transparency requirements, incident reporting, safety frameworks, and powers to block or remove risky systems.
Both supporters and opponents often focus on frontier, major, or high-risk systems rather than all AI; they differ mainly on whether that narrowing makes mandates workable today.
Several supporters define independence concretely through qualification requirements, lack of financial conflicts, and access to unredacted or white-box information, while opponents view similar access as a trade-secret, privacy, or security concern.
Supporters frequently compare AI oversight to established assurance regimes in other domains, whereas opponents emphasize that AI-specific audit standards and auditor supply are still underdeveloped.

Arguments for

Trust beyond self-attestation

Supporters say trust cannot rest on self-assessment or voluntary disclosure alone. Because developers build, operate, and profit from these systems, independent third-party review is presented as the way to make safety and governance claims verifiable and accountable.

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

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

AIQA Global · May 28, 2026 · full quote
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
Independent evaluation is the institutional discipline that lets markets trust what they cannot directly verify. AI governance now needs that same discipline.

Randall R. Rader · May 28, 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

Predeployment safety checks

Proponents argue that major or frontier systems should face mandatory independent testing before release, followed by post-deployment monitoring and incident reporting. Several quotes add that systems exceeding risk thresholds should be blocked, recalled, or removed rather than left to self-policing.

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
Our Advanced AI Framework proposes mandatory independent safety testing for frontier models, transparency requirements, and government authority to block or recall dangerous AI deployments.

Anthropic · Jun 12, 2026 · full quote
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
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
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
Congress must establish a comprehensive federal AI safety framework with mandatory safety testing, independent audits, incident reporting requirements, and regulators empowered to remove AI systems when they pose risks.

J.B. Branch · Jul 27, 2026 · full quote

Build an assurance ecosystem

Many supporters describe audits as part of a wider assurance infrastructure, including qualified and independent evaluators, repeatable methods, accreditation, certification bodies, and standards for the auditors themselves. They argue that AI governance currently lacks this independent verification capacity and that building it is necessary for credible oversight.

Despite the rapid advancements, the gaps show that there is a lack of independent verification standards. Today, safety verification relies on proprietary visibility and developers' goodwill rather than rigorous third-party auditing.

Mena El Asady · Jul 7, 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
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
Canada should build a functioning AI assurance market with accredited auditors, testing labs and certification bodies that assess AI systems before and after deployment in high-impact contexts.

Carole Piovesan · May 7, 2026 · full quote
Frameworks tell organizations what good AI governance looks like. Standards tell them how to build it. The Chicago Principles tell the market how to evaluate the people doing the evaluating. Without that, third-party assurance becomes whatever a vendor says it is.

Chase Malackowski · May 28, 2026 · full quote

Risk-based coverage

Supporters often frame mandates as targeted to the largest developers and the most advanced or high-risk systems, rather than a blanket rule for all AI. They present this narrower scope as a way to address serious risks while avoiding one-size-fits-all regulation and limiting burdens on smaller innovators.

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

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

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

Lori Trahan · Jun 1, 2026 · full quote
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
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.

Government of Goa · May 2026 · full quote

Arguments against

Standards and auditors not ready

Opponents argue that mandatory third-party audits are premature because there are not yet recognized auditing standards, certified auditors, established methodologies, or a sufficient market of qualified providers for frontier-model safety audits. In this view, companies should not face legal penalties for failing to satisfy requirements that cannot yet be done in a robust, uniform, and realistic manner.

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
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
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
This bill contains a critically flawed mandatory third-party audit requirement that creates an impossible compliance obligation on an unrealistic timeline.

NetChoice · May 26, 2026 · full quote
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

High costs for smaller actors

Critics say repeated outside audits and reporting would impose substantial and uncertain costs. They argue large developers may absorb or pass through those costs, while small and mid-sized businesses, employers, and deployers would be hit hardest through higher fees and burdensome compliance obligations.

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

Confidentiality and subjectivity risks

Some opponents warn that aggressive audit and data-sharing requirements could expose trade secrets, private records, or national-security-sensitive information. They also object to private auditors making highly subjective compliance judgments without clear national standards, certifications, or regulatory 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

Voluntary first, mandate later

Some quotes support independent evaluation but favor beginning with voluntary sharing or voluntary audits through an independent or federally overseen body, especially for the most advanced models. They suggest formal mandatory gates should follow only after the testing regime has proved 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

Across the quotes, independent evaluation is widely described as valuable, but the central disagreement is over whether legal audit mandates for major AI systems are operationally ready now. Supporters portray mandates as foundational safeguards that create trust, enable intervention before harm, and build a real assurance ecosystem. Opponents focus on immature standards, limited auditor capacity, cost, and confidentiality risks, while some nuanced voices favor phased or initially voluntary approaches before full formalization.

Source diversity

The quotes come from legislators, governments, regulators, nonprofits, researchers, AI companies, audit firms, and trade associations, indicating a cross-sector debate rather than a single-industry split.

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Results (215 votes):

Total (215 votes)

For 194 (90%) Abstain 0 (0%) Against 21 (10%)

For (190)

Brad Carson
Americans for Responsible Innovation president

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votes For and says:

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

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OpenAI Global Affairs
OpenAI's public policy team.

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votes For and says:

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

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Nathan DeBardeleben

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votes For and says:

This paper therefore treats autonomous AI governance as a problem of infrastructure reliability. Its constructive proposal is engineered heterogeneity: the process that proposes an action should not serve as its sole approver and auditor. Independent...
more AI Verified source (Aug 4, 2026)

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Keivan Navaie

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votes For and says:

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

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

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votes For and says:

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

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

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votes For and says:

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

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

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votes For and says:

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

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

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votes For and says:

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

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

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votes For and says:

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

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Jay Obernolte
U.S. Representative from California

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votes For and says:

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

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Olivier Sibony

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votes For and says:

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

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

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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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votes For and says:

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...
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Willemien Arends
Minister for Digital Economy and Sovereignty of the Netherlands, speaking on AI governance at the UN Global Dialogue in 2026.

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votes For and says:

For example, if we make it more tangible and to have some, some oversight and some control of what's going to happen, we have in the Netherlands the Algorithm Framework that translates legal requirements into practical guidelines also for public orga...
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Mena El Asady
Computer science professor and member of the UN Independent International Scientific Panel on AI, presenting its Working Group 1 findings in July 2026.

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votes For and says:

Despite the rapid advancements, the gaps show that there is a lack of independent verification standards. Today, safety verification relies on proprietary visibility and developers' goodwill rather than rigorous third-party auditing.
AI Verified source (Jul 7, 2026)

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European Commission
EU's executive body

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votes For and says:

Under the AI Act, advanced AI models must be evaluated, and mitigation measures carefully assessed, before the models are placed on the EU market. This new capacity will contribute to the regulatory function of the AI Office by strengthening third-pa...
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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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votes For and says:

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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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...
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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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votes For and says:

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...
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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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Abstain (0)

Against (21)

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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