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Establish an international AI incident reporting system

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Arguments for

Cross-border coordination

Proponents argue that AI incidents, capability surprises, and related harms do not stop at national borders, so countries need compatible reporting channels and coordinated responses. Shared mechanisms would let failures or risk findings in one jurisdiction help others prepare, respond, and avoid repeated harms.

As AI knows no borders, stakeholders need a rigorous and transnational understanding of AI incidents and a consistent, interoperable way to report them.

Organisation for Economic Co-operation and Development (OECD) · May 28, 2026 · full quote
Recent developments related to frontier AI have highlighted the importance of timely information-sharing and cross-border preparedness.

European Union · Jul 7, 2026 · full quote
Shared incident reporting mechanisms can ensure that lessons from failures in one jurisdiction prevent repeated harms elsewhere.

Government of Bangladesh · Jul 7, 2026 · full quote
Nations should work together to develop compatible safety frameworks, trusted channels for sharing risk findings, and coordinated responses to incidents.

OpenAI · Jun 23, 2026 · full quote
This pathway entails establishing a global system for reporting serious AI incidents, capability surprises, and near-misses, drawing on highly transferable models like the aviation sector’s voluntary incident-reporting culture and pharmacovigilance networks.

United Nations Office for Digital and Emerging Technologies · Jul 1, 2026 · full quote
Cross-border AI incident infrastructure: institutional, technical, and legal arrangements that would allow national and international authorities to detect, share, and act on AI incidents and hazards together across borders. [...] Governments and industry actors should adopt inci…

Niki Iliadis · 2026 · full quote

Collective learning

Supporters say that without a shared record of incidents, near-misses, and harms, teams cannot see patterns, build an evidence base, or fix recurring problems. Structured reporting is presented as a way to turn failures into usable lessons for the wider AI ecosystem.

Without a shared record of what has gone wrong, every product team starts from zero.

Sean McGregor · Jun 23, 2026 · full quote
AI is already causing real world harm. Without tracking failures, we can't fix them.

Daniel Atherton · Jan 19, 2026 · full quote
That makes it very, very difficult to see patterns over whole datasets to understand trends.

Simon Mylius · Jan 19, 2026 · full quote
Proactive incident reporting enables collective learning from safety failures and near-misses.

Future of Life Institute · Jul 2026 · full quote

Early warning response

Supporters argue that serious AI incidents should not stay behind closed doors because timely reporting gives governments and other responders the information needed to act quickly, contain harm, and sound the alarm early. Several frame reporting as urgent for dangerous model behavior, security incidents, and escalation before threats grow.

Just this week, one of the most advanced AI systems in the country broke out of its own developer's testing environment, reaching systems it was never supposed to touch. This is exactly the kind of incident that shouldn't stay behind closed doors.

Erin Houchin · Jul 23, 2026 · full quote
The serious frontier developers already run the evaluations, the red-teaming and the escalation drills. What they have never faced at the federal level is a legal obligation to tell the government, on the clock, when a model behaves dangerously.

National Cyber Security Centre · Jun 26, 2026 · full quote
AI is a powerful engine of innovation, and I want to see it flourish, but not without accountability and not without human oversight. The rule of law should apply to this new frontier. This legislation ensures that when something goes wrong with a high-capability AI system, the U…

Nathaniel Moran · Jun 25, 2026 · full quote
AI incident reporting requirements are emerging in regulation and policy, yet no operational criteria exist for determining when a detected AI incident warrants escalation beyond national handling to international coordination. [...] For escalation to be effective in practice, it…

Francesca Gomez · 2026 · full quote
We should jointly prevent and fight against the abuse and malicious use of AI technologies by terrorist and extremist forces, and transnational organized criminal groups, and establish necessary crisis management and emergency response mechanisms on a global scale.

2026 World Artificial Intelligence Conference & High-Level Meeting on Global AI Governance · Jul 17, 2026 · full quote
It’s a catch-it-early and sound-the-alarm bill.

Nathaniel Moran · Jun 25, 2026 · full quote

Common standards

Many supporters say an international system needs shared terminology, comparable risk classifications, documentation, and technical standards so reports are interoperable across jurisdictions. They present minimum practical compatibility and common schemas as a way to reduce fragmentation while letting countries implement at their own pace.

The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their institutional capacity and preserv…

Paula Bogantes Zamora · Jul 7, 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
This document specifies a framework for data elements of reports of AI incidents that have occurred. This document is applicable to all types of organizations.

International Organization for Standardization (ISO) · Jul 2026 · full quote
Establishing an international standard for AI incident reporting is crucial and urgent as AI use continues to grow rapidly across sectors.

British Standards Institution · Jul 2026 · full quote
Building a robust body of scientific evidence is the foundation on which genuine compatibility and interoperability must rest in practice, supported by common terminology, comparable risk-management practices, testing and evaluation methods, consistent documentation and transpare…

Global Dialogue on Artificial Intelligence Governance · Jul 2026 · full quote
Latvia proposes 3 priorities: shared evaluation methods and open benchmarks reflecting linguistic and cultural diversity, minimum compatibility on data origin and incident reporting including data integrity incidents, and capacity building so every country can participate in the …

Government of Latvia · Jul 7, 2026 · full quote

Targeted obligations

Some proponents argue that reporting duties should focus on the most capable frontier developers and serious incidents, giving powerful model makers clear transparency and oversight requirements without burdening smaller innovators. In this view, targeted rules can add accountability while preserving broader AI innovation.

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

Scott Franklin · Jul 23, 2026 · full quote
The FRONTIER Act focuses oversight on the largest developers and most advanced models, requiring transparency, independent evaluation, and timely reporting of serious safety incidents.

Jay Obernolte · Jul 23, 2026 · full quote
As AI systems grow more capable, Americans deserve confidence that the most powerful models are being developed responsibly. The bipartisan FRONTIER Act delivers commonsense transparency and independent oversight for the largest AI developers while giving them a single, clear nat…

Lori Trahan · Jul 23, 2026 · full quote
Second, 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
Safety incidents in the four critical areas must be reported promptly.

Dario Amodei · Jun 2026 · full quote
The FRONTIER Act is a targeted bill with clear, uniform transparency, and safety standards, instead of a fifty-state patchwork. I'm glad to support this bipartisan effort so that Congress acts before this technology outruns us.

Scott Peters · Jul 23, 2026 · full quote

Arguments against

Use existing channels

The main objection is not to sharing incident information itself but to creating entirely new reporting institutions. This view holds that policymakers should make existing channels capable of incorporating frontier-model information, because building on trusted relationships would be faster and more effective than standing up new institutions from scratch.

Rather than creating entirely new channels, policymakers should focus on ensuring that existing channels can effectively incorporate information related to frontier models and agents. Building on trusted relationships will be faster and more effective than standing up new institu…

Chris Meserole · Jun 4, 2026 · full quote

Middle ground

Lightweight design

Some supporters explicitly say international reporting need not mean a heavy new bureaucracy. They favor options such as technical cooperation grounded in shared scientific standards, common machine-readable schemas, neutral reporting platforms, or bilateral and multilateral notification agreements that can plug into existing institutions.

These technologies – with their extraordinary potential benefits and equally extraordinary risks – cannot be governed by any single country, no matter how powerful it is. Effective governance requires exactly what we are missing: legitimate, effective global cooperation. [...] Th…

Margrethe Vestager · Feb 4, 2026 · full quote
The UN could endorse and administer a common, machine-readable schema for AI incident reporting that Member States can adopt by reference.

AI Governance for Humanity Lab · Jul 2026 · full quote
Establishing a common definition of an “AI incident” could allow companies to report system failures anonymously through neutral platforms such as international research consortia. The goal would be not to share technology, but to understand failure modes and prevent cascading ri…

World Economic Forum · May 22, 2026 · full quote
In parallel, major economies should conclude bilateral and multi-lateral AI incident notification agreements—the equivalent of nuclear hotlines, requiring no new treaty body and activatable within months—so that when a regulator in one jurisdiction identifies a systemic harm, cou…

Cyrus Hodes · Mar 10, 2026 · full quote
Establishing a common definition of an “AI incident” could allow companies to report system failures anonymously through neutral platforms such as international research consortia. The goal would be not to share technology, but to understand failure modes and prevent cascading ri…

Philip Reiner · May 1, 2026 · full quote

Inclusive protected reporting

Another design view is that reporting systems should include harmed people and affected communities, protect confidentiality or anonymous disclosure, and connect reports to accountable decision-making. On this account, who can report and how reports are safeguarded matters as much as whether a system exists.

One core part that I continue to see missing when it comes to AI harms reporting and incident reporting is actually to include the people who themselves are being harmed.

Joy Buolamwini · Jul 7, 2026 · full quote
That means the dialogue must be the place where different mechanisms, be they a citizens' track of affected communities, national and regional dialogues, or participatory incident reporting mechanisms— the dialogue must be the place where these mechanisms contribute to outcomes t…

Gaia Markus · Jul 7, 2026 · full quote
The establishment of a strong safety culture is a key element, while a series of interventions could significantly improve the current AIA system on incident reporting: (i) clarification of the reporting duties, including the development of a common taxonomy of risk or harm, alon…

Michael Chatzipanagiotis · Feb 27, 2026 · full quote
If this dialogue wants an early warning system for AI harms, I would like to tell the folks who are here that it already exists. It needs to be resourced and connected to decision-making, including the scientific panel.

Nighat Dad · Jul 7, 2026 · full quote

Capacity-sensitive rollout

Several supportive quotes say international compatibility should be practical rather than uniform in every detail, with countries allowed to sequence implementation according to institutional capacity. They pair incident reporting with capacity building so developing countries can participate and benefit as equal partners.

The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their institutional capacity and preserv…

Paula Bogantes Zamora · Jul 7, 2026 · full quote
The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their institutional capacity and preserv…

World Intellectual Property Organization · Jul 7, 2026 · full quote
Latvia proposes 3 priorities: shared evaluation methods and open benchmarks reflecting linguistic and cultural diversity, minimum compatibility on data origin and incident reporting including data integrity incidents, and capacity building so every country can participate in the …

Government of Latvia · Jul 7, 2026 · full quote
Cambodia sees 3 concrete areas where the international community can support shared progress. First, by building the technical capacity of regulators, particularly in developing countries. Second, by fostering active exchange of information on emerging AI capability, products, an…

Vanda Chhea · Jul 6, 2026 · full quote

Insights

Supportive quotes span legislators, companies, standards bodies, national governments, UN-linked forums, and civil-society advocates, indicating that the proposal is being framed across security, governance, and rights contexts (17019, 10136, 15766, 15339, 15407, 12839).
Many proponents treat incident reporting as one part of a broader safety architecture that also includes testing, audits, red-teaming, documentation, and human oversight (15901, 14385, 15407, 15340).
The sharpest design disagreement is over institutional form: whether to create new reporting channels or adapt existing trusted ones with compatible schemas and notification arrangements (12142, 9194, 13486, 15765, 9459).
Several quotes borrow models from other domains—aviation, pharmacovigilance, cybersecurity, pandemic surveillance, and hotline-style notification—to explain what AI incident reporting could look like (15255, 14901, 13605, 9194, 9459).
Supporters differ on scope, with some wanting duties concentrated on frontier developers and serious incidents, while others describe frameworks applicable to all organizations and sectors (17021, 16314, 15766).

Most quotes argue that AI harms, near-misses, and capability surprises cross borders and therefore require interoperable reporting, shared standards, and timely information-sharing to support collective learning and coordinated response (16810, 13605, 15407, 10136). The clearest caution is about institutional design rather than the value of reporting itself: one critic says policymakers should adapt existing trusted channels instead of creating new ones, while several supporters also favor lightweight arrangements such as common schemas, neutral platforms, or notification agreements over heavy new bureaucracy (12142, 9194, 13486, 15765, 9459).

Cast your vote:

Results (93 votes):

Total (93 votes)

For 92 (99%) Abstain 0 (0%) Against 1 (1%)

For (90)

Open Secure AI Alliance
Industry alliance launched in July 2026 to develop open tools and practices for AI safety and security.

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votes For and says:

SAFE confidentially collects and analyzes AI incidents and near misses, promptly informs affected parties and turns recurring failures into shared, evidence-based controls that reduce systemic risk.
AI Verified source (Aug 11, 2026)

added 3d ago

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Delegate
Suhas Subramanyan
U.S. Representative from Virginia’s 10th congressional district.

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votes For and says:

This is a four-alarm fire. We need to take action now. These frontier models could have the power to create serious chaos and harm without adequate regulations. This bill, while not perfect, is an important, bipartisan step in the right direction.
AI Verified source (Jul 23, 2026)

added 11d ago

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

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votes For and says:

The FRONTIER Act recognizes that not every AI developer should be regulated the same way. It takes a targeted approach by focusing only on the handful of companies developing the most powerful frontier AI models, not the startups and innovators drivi...
more AI Verified source (Jul 23, 2026)

added 11d ago

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Delegate
Scott Peters
U.S. Representative from California's 50th congressional district; co-sponsor of the FRONTIER Act.

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votes For and says:

The FRONTIER Act is a targeted bill with clear, uniform transparency, and safety standards, instead of a fifty-state patchwork. I'm glad to support this bipartisan effort so that Congress acts before this technology outruns us.
AI Verified source (Jul 23, 2026)

added 11d ago

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Delegate
Lori Trahan
U.S. representative from Massachusetts

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votes For and says:

As AI systems grow more capable, Americans deserve confidence that the most powerful models are being developed responsibly. The bipartisan FRONTIER Act delivers commonsense transparency and independent oversight for the largest AI developers while g...
more AI Verified source (Jul 23, 2026)

added 11d ago

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

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votes For and says:

Just this week, one of the most advanced AI systems in the country broke out of its own developer's testing environment, reaching systems it was never supposed to touch. This is exactly the kind of incident that shouldn't stay behind closed doors.
AI Verified source (Jul 23, 2026)

added 16d ago

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Jay Obernolte
U.S. Representative from California

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votes For and says:

The FRONTIER Act focuses oversight on the largest developers and most advanced models, requiring transparency, independent evaluation, and timely reporting of serious safety incidents.
AI Verified source (Jul 23, 2026)

added 16d ago

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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:

AI is developing extremely fast with no real regulations to keep us safe. [...] mandatory independent safety testing, mandatory disclosure of security incidents and international cooperation [are needed] to keep people safe from absolute disaster.
AI Verified source (Jul 21, 2026)

added 23d ago

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2026 World Artificial Intelligence Conference & High-Level Meeting on Global AI Governance
Intergovernmental conference on global AI governance held in Shanghai in July 2026.

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votes For and says:

We should jointly prevent and fight against the abuse and malicious use of AI technologies by terrorist and extremist forces, and transnational organized criminal groups, and establish necessary crisis management and emergency response mechanisms on ...
more AI Verified source (Jul 17, 2026)

added 27d ago

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World Internet Conference
International organization convening governments, industry, academics and civil society on internet and artificial-intelligence governance.

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votes For and says:

Governance efforts should continuously improve capabilities in identifying, evaluating, monitoring and assessing emerging risks associated with evolving AI capabilities and wider deployment, while strengthening forward-looking analysis of major, long...
more AI Verified source (Jul 16, 2026)

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Chris Lehane
OpenAI chief global affairs officer

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votes For and says:

Second, 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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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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Katy Knight
President and Chief Executive Officer of Siegel Family Endowment.

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votes For and says:

When significant developments occur – whether a breakthrough capability, a safety incident or an innovative regulatory approach – decision-makers need trusted channels to understand implications quickly and coordinate responses where appropriate.
AI Verified source (Jul 7, 2026)

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Paula Bogantes Zamora
Costa Rican Minister of Foreign Trade and co-chair of the UN Global Dialogue on AI Governance thematic discussion on safe, secure and trustworthy AI.

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votes For and says:

The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their inst...
more AI Verified source (Jul 7, 2026)

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

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votes For and says:

Shared incident reporting mechanisms can ensure that lessons from failures in one jurisdiction prevent repeated harms elsewhere.
AI Verified source (Jul 7, 2026)

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Arvind Parthasarathi
CEO and founder of CYGNVS, writing on AI incident response and operational resilience.

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votes For and says:

The OECD AI Incidents Monitor tracked 596 AI Incidents in January 2026 alone, 200% growth year over year. Efforts like the OECD AI Incidents Monitor and AI Incident Database documents negative or harmful outcomes involving AI systems so the industry ...
more AI Verified source (Jul 7, 2026)

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European Union
Political and economic union

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votes For and says:

Recent developments related to frontier AI have highlighted the importance of timely information-sharing and cross-border preparedness.
AI Verified source (Jul 7, 2026)

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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...
more AI Verified source (Jul 7, 2026)

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Dubai Cable
Enterprise AI strategy organization participating in the UN Global Dialogue on AI Governance.

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votes For and says:

Shared incident reporting mechanisms can ensure that lessons from failures in one jurisdiction prevent repeated harms elsewhere.
AI Verified source (Jul 7, 2026)

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World Intellectual Property Organization
United Nations specialized agency for intellectual property, speaking on cross-border AI-governance interoperability.

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votes For and says:

The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their inst...
more AI Verified source (Jul 7, 2026)

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Gaia Markus
Director of the Ada Lovelace Institute, an independent research institute focused on ensuring data and AI work for people and society.

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votes For and says:

That means the dialogue must be the place where different mechanisms, be they a citizens' track of affected communities, national and regional dialogues, or participatory incident reporting mechanisms— the dialogue must be the place where these mecha...
more AI Verified source (Jul 7, 2026)

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Center for Responsible AI
Research center at IIT Madras focused on responsible AI governance, accountability, and incident reporting.

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votes For and says:

One of the main contributions that we would like to make to this discussion is the urgent need for structured AI incidents reporting as a core pillar of global AI governance.
AI Verified source (Jul 7, 2026) 1 of 2

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

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votes For and says:

If this dialogue wants an early warning system for AI harms, I would like to tell the folks who are here that it already exists. It needs to be resourced and connected to decision-making, including the scientific panel.
AI Verified source (Jul 7, 2026)

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Joy Buolamwini
Algorithmic Justice League founder

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votes For and says:

One core part that I continue to see missing when it comes to AI harms reporting and incident reporting is actually to include the people who themselves are being harmed.
AI Verified source (Jul 7, 2026)

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Nof Alhamli
Science and Technology Advisor at the United Arab Emirates Ministry of Foreign Affairs.

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votes For and says:

Right now, the governance frameworks are multiplying faster than the evidence base that's underneath them. And there's no shared incident reporting infrastructure.
AI Verified source (Jul 7, 2026)

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Rebecca Finlay
CEO of Partnership on AI.

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votes For and says:

Cross-border regulatory sandboxes, shared evaluation methods, and incident reporting mechanisms that can help countries test system, learn from failures, and prevent repeated harms.
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:

Latvia proposes 3 priorities: shared evaluation methods and open benchmarks reflecting linguistic and cultural diversity, minimum compatibility on data origin and incident reporting including data integrity incidents, and capacity building so every c...
more AI Verified source (Jul 7, 2026)

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Nofel Hamli
Science and Technology Advisor in the UAE Ministry of Foreign Affairs who spoke at the UN Global Dialogue on AI Governance in July 2026.

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votes For and says:

Right now, the governance frameworks are multiplying faster than the evidence base that's underneath them. And there's no shared incident reporting infrastructure.
AI Verified source (Jul 7, 2026)

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Paula Bragantes Zamora
Costa Rican diplomat who co-chaired the UN Global Dialogue on Artificial Intelligence Governance in July 2026.

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votes For and says:

The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their inst...
more AI Verified source (Jul 7, 2026)

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Vanda Chhea
Minister of Post and Telecommunications of Cambodia.

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votes For and says:

Cambodia sees 3 concrete areas where the international community can support shared progress. First, by building the technical capacity of regulators, particularly in developing countries. Second, by fostering active exchange of information on emergi...
more AI Verified source (Jul 6, 2026)

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