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Establish an international AI incident reporting system

trust-in-ai international-relations public-interest-ai regulations policy transparency ai-governance ai-safety ai-policy ai-regulation

Arguments for

Cross-border interoperability

Because AI systems and their harms cross borders, proponents argue countries need a rigorous transnational understanding of incidents and a consistent, interoperable way to report them. Shared terminology, comparable risk classifications, and compatible documentation would let lessons from one jurisdiction prevent repeated harms elsewhere and improve cross-border preparedness.

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
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
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
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
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

Rapid response and accountability

Supporters say timely reporting gives governments and other responsible actors the information needed to act quickly when serious safety failures, near-misses, or dangerous capabilities appear. They present reporting as part of crisis management, coordinated responses, audits, security standards, and accountability for the most capable systems.

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
As AI technologies continue to advance at an unprecedented pace, AI systems face growing threats that can expose sensitive data, create new cybersecurity vulnerabilities, and beyond. Congress cannot afford to fall behind in addressing these emerging risks and ensuring appropriate…

Don Beyer · Jun 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
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
Safety incidents in the four critical areas must be reported promptly.

Dario Amodei · Jun 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

Learning from failures

Proponents argue that without shared records of what has gone wrong, product teams cannot see patterns, detect trends, or fix recurring problems. Structured monitoring of incidents, flaws, and near-misses is framed as a way to build evidence and collective learning from experience.

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 can learn from experience in t…

Arvind Parthasarathi · Jul 7, 2026 · full quote
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
Proactive incident reporting enables collective learning from safety failures and near-misses.

Future of Life Institute · Jul 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

Structured reporting infrastructure

Some quotes say there is still no centralized or shared pathway for reporting AI flaws, even as governance frameworks multiply. They argue structured reporting should be a core pillar of AI governance, backed by common schemas, formal reporting routes, and harmonized taxonomies and standards.

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.

Center for Responsible AI · Jul 7, 2026 · full quote
Right now, there is no centralized, accountable way to report flaws in AI systems.

Avijit Ghosh · Jul 1, 2026 · full quote
Until now, the AI community has lacked a formal pathway to report flaws to organizations equipped to coordinate a response, leaving AI systems vulnerable to failure or exploitation.

Carnegie Mellon University Software Engineering Institute · Jul 1, 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
As jurisdictions introduce AI incident reporting requirements with differing definitions and thresholds, developing shared taxonomies and standards can help harmonize reporting, enable coordinated responses, and ensure incident data informs policy and mitigation strategies. Becau…

Cameron F. Kerry · 2026 · full quote
Right now, the governance frameworks are multiplying faster than the evidence base that's underneath them. And there's no shared incident reporting infrastructure.

Nof Alhamli · Jul 7, 2026 · full quote

Arguments against

Use existing channels

The main explicit objection is not to incident information itself but to creating entirely new channels for it. Its proponent argues policymakers should adapt existing trusted relationships and disclosure pathways to handle frontier-model information, because that would be faster and more effective than building 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

Flexible compatibility

Several quotes favor minimum practical compatibility across incident reporting and related governance tools rather than a single uniform regime. In this view, countries should be able to sequence implementation according to capacity and preserve legitimate legal and development priorities while still making reports comparable and usable across borders.

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
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 Bragantes 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
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

Build on existing mechanisms

A recurring nuance is that an international system should connect, resource, or adapt mechanisms that already exist rather than become a large new bureaucracy. Supporters point to early-warning systems, technical cooperation models, and notification agreements that can operate through existing institutional arrangements.

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
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
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
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

Participatory reporting

Some supporters argue that incident reporting should not remain concentrated at the corporate level. They want affected people, child-rights institutions, regulators, civil society, and public repositories to help surface harms and create clearer accountability.

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
Researchers, in coordination with statutory child rights institutions, regulators, and civil society, should establish public, open repositories of safety incidents, research findings and regulatory evaluations to inform policy, enforcement and technology design decisions globall…

UNICEF · Jun 2026 · full quote
National and regional AI safety institutes, technical secondments for regulators, incident reporting. And then there's a structural point. Over 40 governance instruments exist, but they're fragmented and concentrated at the corporate level. So the gap isn't a lack of tools, it's …

Maria Ressa · Jul 1, 2026 · full quote

Insights

Several supporters describe incident reporting by analogy to aviation, pharmacovigilance, cybersecurity, or coordinated vulnerability disclosure, suggesting they see AI safety as needing established reporting cultures rather than ad hoc reactions.
Many quotes place reporting inside a broader governance package that also includes testing, audits, documentation, risk classification, security standards, monitoring, and emergency response.
A major design theme is interoperability: numerous quotes call for shared terminology, comparable classifications, and compatible schemas so evidence collected in one jurisdiction can be used in others.
Another recurring theme is that reporting should feed action, with quotes emphasizing links to decision-making, coordinated response, and mechanisms that can act quickly on serious incidents.
The clearest disagreement concerns institutional design, as one quote prefers adapting existing trusted channels while several supportive quotes likewise caution against creating a large new bureaucracy.

The quoted positions emphasize timely, structured AI incident information as a tool for learning, preparedness, and cross-border coordination. The clearest disagreement is about institutional form: whether an international reporting system should be a new stand-alone channel or mainly an interoperable layer built on existing mechanisms. Several quotes also argue that any system should be flexible across countries and inclusive of the people harmed by AI.

Cast your vote:

Results (72 votes):

Total (72 votes)

For 71 (99%) Abstain 0 (0%) Against 1 (1%)

For (69)

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)

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Delegate
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)

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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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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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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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International Organization for Standardization (ISO)
International standards body; source organization for AI incident-reporting standards.

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votes For and says:

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.
AI Verified source (Jul 2026)

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MIT AI Risk Initiative
Massachusetts Institute of Technology initiative focused on understanding and reducing risks from artificial intelligence.

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votes For and says:

Today, we are releasing FLARE-AI, an open-source system that lets anyone report a flaw or incident for any general-purpose AI system, and route a single report to everyone who needs to see it.
AI Verified source (Jul 1, 2026)

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British Standards Institution
United Kingdom national standards body and member of the ISO and IEC international standards organizations.

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votes For and says:

Establishing an international standard for AI incident reporting is crucial and urgent as AI use continues to grow rapidly across sectors.
AI Verified source (Jul 2026)

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Global Dialogue on Artificial Intelligence Governance
United Nations global multistakeholder dialogue on international artificial intelligence governance.

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votes For and says:

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

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Rumman Chowdhury
AI ethicist and Humane Intelligence CEO

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votes For and says:

FLARE-AI could be a useful way for many AI developers to implement ways of reporting issues with their tools.
AI Verified source (Jul 1, 2026)

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Avijit Ghosh
AI ethics and policy researcher at Hugging Face, focused on AI evaluations, governance, and flaw disclosure.

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votes For and says:

Right now, there is no centralized, accountable way to report flaws in AI systems.
AI Verified source (Jul 1, 2026)

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Future of Life Institute
Nonprofit on existential risks

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votes For and says:

Proactive incident reporting enables collective learning from safety failures and near-misses.
AI Verified source (Jul 2026)

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United Nations Office for Digital and Emerging Technologies
United Nations office supporting global digital cooperation and AI governance.

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votes For and says:

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 n...
more AI Verified source (Jul 1, 2026)

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Carnegie Mellon University Software Engineering Institute
Federally funded research and development center at Carnegie Mellon University focused on software engineering and cybersecurity.

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votes For and says:

Until now, the AI community has lacked a formal pathway to report flaws to organizations equipped to coordinate a response, leaving AI systems vulnerable to failure or exploitation.
AI Verified source (Jul 1, 2026)

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Lauren McIlvenny
Technical Director of Threat Analysis at Carnegie Mellon University's Software Engineering Institute and advisor to the FLARE-AI project.

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votes For and says:

By integrating FLARE-AI into VINCE and our coordinated vulnerability disclosure process, we’ll be able to provide cross-platform examination.
AI Verified source (Jul 1, 2026)

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AI Governance for Humanity Lab
UN-affiliated initiative anchored in the UN Office for Digital and Emerging Technologies that develops policy research on inclusive global AI governance.

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votes For and says:

The UN could endorse and administer a common, machine-readable schema for AI incident reporting that Member States can adopt by reference.
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:

National and regional AI safety institutes, technical secondments for regulators, incident reporting. And then there's a structural point. Over 40 governance instruments exist, but they're fragmented and concentrated at the corporate level. So the ga...
more AI Verified source (Jul 1, 2026)

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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:

Shared incident reporting infrastructure is an example of an area of mutual interest for both nations and companies, paralleling how competing aircraft manufacturers pool accident data.
AI Verified source (Jul 2026)

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Nathaniel Moran
U.S. Representative from Texas

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votes For and says:

It’s a catch-it-early and sound-the-alarm bill.
AI Verified source (Jun 25, 2026) 1 of 3

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Mark Beall
President of the AI Policy Network.

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votes For and says:

As AI systems grow more and more capable, the government needs a reliable window into powerful AI models developing dangerous capabilities, like launching a cyberattack or helping build a biological weapon. Congressman Moran is leading a new vanguard...
more AI Verified source (Jun 25, 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:

The capabilities of advanced AI models are increasing by the day, and so are the risks of AI systems gaining the ability to self-improve, evade human oversight, and enabling attacks against our nation’s infrastructure. We need mechanisms to identify ...
more AI Verified source (Jun 25, 2026)

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Canadian Centre for Cyber Security
Canadian government cybersecurity authority.

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votes For and says:

Timely incident reporting is critical to protecting Canada's digital ecosystem. Organizations – especially those in government and critical infrastructure – should report suspected cyber incidents as soon as possible.
AI Verified source (Jun 24, 2026)

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Sean McGregor
Executive Director of the AI Incident Database; Fellow at Harvard's Berkman Klein Center; General Chair of IAAI 2026

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votes For and says:

Without a shared record of what has gone wrong, every product team starts from zero.
AI Verified source (Jun 23, 2026)

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Don Beyer
U.S. Representative from Virginia's 8th district; co-sponsor of the GUARDRAILS Act on AI

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votes For and says:

As AI technologies continue to advance at an unprecedented pace, AI systems face growing threats that can expose sensitive data, create new cybersecurity vulnerabilities, and beyond. Congress cannot afford to fall behind in addressing these emerging ...
more AI Verified source (Jun 23, 2026)

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OpenAI
AI research organization

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votes For and says:

Nations should work together to develop compatible safety frameworks, trusted channels for sharing risk findings, and coordinated responses to incidents.
AI Verified source (Jun 23, 2026)

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UNICEF
UN children’s agency

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votes For and says:

Researchers, in coordination with statutory child rights institutions, regulators, and civil society, should establish public, open repositories of safety incidents, research findings and regulatory evaluations to inform policy, enforcement and techn...
more AI Verified source (Jun 2026)

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Delegate
Dario Amodei
CEO at Anthropic

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votes For and says:

Safety incidents in the four critical areas must be reported promptly.
AI Verified source (Jun 2026)

added 16d ago

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G7 Digital and Technology Ministers
Ministers representing the Group of Seven governments on digital and technology policy.

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votes For and says:

We commend the revised Hiroshima AI Process Reporting Framework and recognize it as a key multi-stakeholder platform to advance coherence across AI risk assessment, reporting and mitigation assessment approaches, as well as international efforts to f...
more AI Verified source (May 29, 2026)

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G7 Digital and Technology Ministerial Declaration
Collective ministerial declaration of the Group of Seven on digital and technology policy, including international AI governance.

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votes For and says:

We commend the revised Hiroshima AI Process Reporting Framework and recognize it as a key multi-stakeholder platform to advance coherence across AI risk assessment, reporting and mitigation assessment approaches, as well as international efforts to f...
more AI Verified source (May 29, 2026)

added 9d ago

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Organisation for Economic Co-operation and Development (OECD)
Intergovernmental organisation that develops evidence-based public policy standards and analysis.

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votes For and says:

As AI knows no borders, stakeholders need a rigorous and transnational understanding of AI incidents and a consistent, interoperable way to report them.
AI Verified source (May 28, 2026)

added 4d ago

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OECD
International economic organisation

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votes For and says:

As Artificial Intelligence continues to permeate societies and economies, it is inevitable for AI incidents to increase, making it vital to monitor and address risks. As AI knows no borders, stakeholders need a rigorous and transnational understandin...
more AI Verified source (May 28, 2026)

added 7d ago

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World Economic Forum
World Economic Forum platform

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votes For and says:

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 ...
more 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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votes For and says:

Building durable third-party shared testing, evaluation, and reporting ecosystems capable of operating over decades. Developing market mechanisms, including procurement requirements from large institutional buyers, that can drive safer practices with...
more AI Verified source (May 21, 2026)

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The Future Society
Independent nonprofit organization focused on aligning AI through better governance.

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votes For and says:

Governments and industry actors should adopt incident documentation structures and protocols that are universally compatible with one another, so that incident data collected in one jurisdiction becomes evidence that other jurisdictions can use. Gove...
more AI Verified source (May 14, 2026)

added 15d ago

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Frontier Model Forum
Frontier AI industry forum

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votes For and says:

Information sharing, incident reporting, and incident response are each important components of a responsible information architecture for addressing frontier AI risks and promoting responsible development.
AI Verified source (May 12, 2026) 1 of 2

added 9d ago

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Microsoft
Technology company

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votes For and says:

Governments and industry should work together to build interoperable international foundations for AI security, including risk evaluation, coordinated vulnerability disclosure, and information sharing.
AI Verified source (May 1, 2026)

added 5d ago

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Delegate
Amy Hogan-Burney
Corporate Vice President for Customer Security and Trust at Microsoft.

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votes For and says:

Governments and industry should work together to build interoperable international foundations for AI security, including risk evaluation, coordinated vulnerability disclosure, and information sharing.
AI Verified source (May 1, 2026)

added 6d ago

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Delegate
Cyrus Hodes
Founder of AI Safety Connect; AI policy expert at OECD.AI; investor at Lionheart Ventures

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votes For and says:

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 i...
more AI Verified source (Mar 10, 2026)

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National Institute of Standards and Technology
U.S. federal standards and technology agency.

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votes For and says:

Given that AI systems have novel properties that introduce variability and manifest in unpredictable ways, post-deployment monitoring – from incident monitoring to field studies – is a crucial practice for confident, wide-spread AI adoption.
AI Verified source (Mar 9, 2026)

added 7d ago

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ETSI (European Telecommunications Standards Institute)
European ICT standards organisation

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votes For and says:

The present technical specification establishes a design paradigm for openness, diversity, extensibility, and interoperability among AI reporting communities by creating a first part establishing a global decentralised, autonomous framework for shari...
more AI Verified source (Mar 2026)

added 12d ago

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Michael Chatzipanagiotis
Legal scholar at the University of Cyprus researching AI regulation, incident reporting, and safety governance.

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votes For and says:

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 ...
more AI Verified source (Feb 27, 2026)

added 7d ago

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Mathias Cormann
OECD Secretary-General

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votes For and says:

I mean, the most critical piece of frontier AI safety infrastructure is coordinated transparency and incident reporting.
AI Verified source (Feb 20, 2026)

added 7d ago

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Simon Mylius
Affiliate researcher at MIT FutureTech researching AI-incident data and governance.

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votes For and says:

That makes it very, very difficult to see patterns over whole datasets to understand trends.
AI Verified source (Jan 19, 2026)

added 6d ago

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Daniel Atherton
Editor at the AI Incident Database, focused on documenting real-world AI harms.

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votes For and says:

AI is already causing real world harm. Without tracking failures, we can't fix them.
AI Verified source (Jan 19, 2026)

added 6d ago

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Delegate
Francesca Gomez
Founder of Wiser Human AI safety organisation; lead author of "Designing escalation criteria for international AI incident response" (2026); AI governance and control researcher

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votes For and says:

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 t...
more AI Verified source (2026)

added 2mo ago

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Delegate
OECD
Intergovernmental economic organisation

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votes For and says:

As AI knows no borders, stakeholders need a rigorous and transnational understanding of AI incidents and a consistent, interoperable way to report them.
AI Verified source (2025)

added 5mo ago

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Delegate
Margrethe Vestager
Former EU Commission executive vice-president for Competition; AI governance advocate

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votes For and says:

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, effectiv...
more Unverifiable source (Feb 4, 2026)

added 3mo ago

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Devon Whittle
Australia Director at Global Shield Australia; policy advocate on catastrophic risks and artificial intelligence policy.

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votes For and says:

Australia should institute a similar mechanism, so that our policymakers and regulators can be fully informed of the rapidly evolving risk environment.
Unverifiable source (Jul 7, 2026)

added 6d ago

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Delegate
Sergio Gago
Chief Technology Officer at Cloudera who spoke at UN Open Source Week 2026 about accountable, human-centered AI deployment with incident reporting and community voice.

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votes For and says:

Responsible deployment requires identity and access controls, data lineage evaluation, bias security testing, red teaming tools, continuous monitoring, transparent incident reporting, audit logs, human oversight, and appealing mechanisms with the abi...
more Unverifiable source (Jun 23, 2026)

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Delegate
Deborah Ross
U.S. Representative for North Carolina's 2nd congressional district

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votes For and says:

I’m proud to represent much of the Research Triangle Park, home to organizations and institutions that are driving innovation in artificial intelligence and cybersecurity. AI is already shaping how we work, communicate, and access information, and we...
more AI Verified source (Jun 23, 2026) 1 of 2

added 16d ago

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Delegate
Niki Iliadis
Leads the Global AI Governance portfolio at The Future Society; AI governance expert engaging the OECD, UN and UNESCO and convening the Athens Roundtable on AI and the Rule of Law

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votes For and says:

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 ind...
more Disputed source (2026)

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Cameron F. Kerry
Ann R. and Andrew H. Tisch Distinguished Visiting Fellow at Brookings Institution; former Acting Secretary and General Counsel of the U.S. Department of Commerce

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votes For and says:

As jurisdictions introduce AI incident reporting requirements with differing definitions and thresholds, developing shared taxonomies and standards can help harmonize reporting, enable coordinated responses, and ensure incident data informs policy an...
more Disputed source (2026)

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Delegate
Doreen Bogdan-Martin
ITU Secretary-General

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votes For and says:

So the first pillar is risk and security management [...] risk monitoring, incident reporting, [...] The third pillar is international collaboration and cooperation.
Unverifiable source (2024)

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Abstain (0)

Against (1)

Chris Meserole
Executive Director of the Frontier Model Forum; AI policy expert and congressional witness on frontier AI security.

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votes Against and says:

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 effectiv...
more AI Verified source (Jun 4, 2026)

added 14d ago

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More h/ai-safety votes

Nations should negotiate a binding international treaty on AI safety, similar to nuclear non-proliferation

Require large datacenters to install kill switches for AI containment

Democracies should share frontier AI models with allies

Ban open source AI models capable of creating WMDs

AGI could make governments subordinate to the companies that develop it

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