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Establish an international AI incident reporting system

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Key insights

The quotes supporting reporting come from national governments, international organizations, standards bodies, companies, researchers, and civil-society groups, not just one policy community.
Several supporters draw analogies to aviation safety, cybersecurity vulnerability disclosure, pharmacovigilance, and emergency hotlines, suggesting they see workable precedents for AI reporting.
Common definitions, taxonomies, schemas, and interoperable formats appear repeatedly, indicating that standardization is a central implementation issue.
Supportive proposals differ on scope: some focus duties on frontier or high-capability developers, while others call for broader repositories of harms, near misses, and evaluations.
The clearest reservation is about institutional design, with skepticism aimed at creating entirely new bodies from scratch rather than at cross-border information sharing itself.

Arguments for

Cross-border coordination

Proponents argue that AI systems and their harms can cross borders, so no single country can manage them alone. They call for common definitions, interoperable reporting, and international communication channels so authorities and other stakeholders can detect, share, and act on incidents together.

First, we need true scientific independence from the companies which must be held accountable. This includes a common definition of AI incidents and a shared reporting mechanism.

Yoshua Bengio · Sep 23, 2026 · full quote
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
In our latest report, we make the case for 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.

Peter Slattery · Jul 2026 · full quote
There should be agreements around incident reporting and information sharing, so countries can learn from serious failures or unexpected behaviours. We need communication channels that remain open, even when competition is intense.

Tan Kiat How · Sep 24, 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

Early warning and response

Supporters say timely reporting can provide early warning and enable faster containment, mitigation, and coordinated crisis response before harms spread or recur. Notification mechanisms, hotlines, and emergency communication channels are presented as practical ways to reduce safety and security risks.

The U.S. has proposed a new "notification mechanism" for artificial intelligence incidents that could affect national security.

Scott Bessent · Sep 21, 2026 · full quote
If the two countries can discuss how to report and communicate in the event of an AI-related emergency, it can help the two countries to build technical confidence over time.

Xiao Qian · Sep 21, 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
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
Where appropriate, joint situational awareness and communication channels for effective incident response are established.

European Commission · May 27, 2026 · full quote

Collective learning from failures

Another argument is that a shared record of incidents, near misses, and flaws would let developers, researchers, and regulators spot patterns, avoid duplicated effort, and prevent repeated harms. Without structured reporting, proponents say each team relearns the same lessons and system-wide trends remain hard to see.

Reporting and understanding these flaws is crucial to improving AI safety, but the reporting system is fragmented: researchers who identify flaws often do not know what or where to report, and information is rarely shared between all relevant stakeholders. The result is duplicate…

Kevin Paeth · Aug 4, 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
That makes it very, very difficult to see patterns over whole datasets to understand trends.

Simon Mylius · Jan 19, 2026 · full quote
Right now, there is no centralized, accountable way to report flaws in AI systems.

Avijit Ghosh · Jul 1, 2026 · full quote
Proactive incident reporting enables collective learning from safety failures and near-misses.

Future of Life Institute · Jul 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

Accountability for powerful systems

Some supporters frame incident reporting as a core safety obligation for the most capable or frontier systems, alongside audits, evaluations, and oversight. They argue serious failures should not remain behind closed doors and that governments need timely information when dangerous behavior emerges.

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
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
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 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
Safety incidents in the four critical areas must be reported promptly.

Dario Amodei · Jun 2026 · full quote
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.

Greg Casar · Jul 21, 2026 · full quote

Established models and standards

Advocates say an international system is feasible because other domains already use structured, sometimes anonymous or non-punitive reporting to improve safety. They point to standards, shared schemas, and models from aviation, cybersecurity, and pharmacovigilance as templates for a practical reporting architecture.

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
Open Global AI Incident Database: Modeled after aviation safety reporting systems, the industry should create a shared, non-punitive incident database for reporting severe AI failures, automated exploits, and systemic hallucinations.

Global AI Federation · Jul 28, 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
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

Arguments against

Existing channels over new bodies

The main objection in the quotes is not to sharing incident information internationally, but to creating entirely new channels from scratch. This view holds that policymakers should use existing trusted relationships and institutions to incorporate frontier-model information, because adapting them would be faster and more effective than standing up new bodies.

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

Incremental interoperability

Several supportive but cautious quotes favor incremental steps such as hotlines, notification channels, and minimum practical compatibility rather than a sweeping centralized bureaucracy. They emphasize shared terminology and incident reporting while allowing countries to sequence implementation according to their own capacity and priorities.

First steps need not be sweeping: effective hotlines between relevant authorities, notification channels for serious AI incidents, explicit red lines around nuclear command and control, and recurring technical exchanges on evaluations and military applications would be a good sta…

Philippe Rheault · Sep 15, 2026 · full quote
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 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
While outcomes are likely to be limited, opening a channel where both sides could share observations and jointly monitor AI safety incidents would be an important starting point.

Samm Sacks · Sep 5, 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

Inclusive, protected reporting

Other quotes stress that any system should be designed so harmed people and local actors can contribute, while reporters are supported by confidentiality, clear taxonomies, and protections from punitive disincentives. In this view, reporting works best when it is connected to decision-making and backed with resources rather than treated as a stand-alone formality.

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
For funders and international community: support and/or collaborate with local actors best placed to detect AI harm, and back efforts to establish cross-border AI incident information sharing.

Marie Iradukunda · Aug 28, 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
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.

Open Secure AI Alliance · Aug 11, 2026 · full quote

The debate in these quotes is less about whether serious AI incident information should cross borders than about how to organize that flow. Most speakers favor some international reporting or notification mechanism to improve learning and response, while open questions remain about architecture, scope, thresholds, confidentiality, and who gets included in the system.

Cast your vote:

Results (118 votes):

Total (118 votes)

For 117 (99%) Abstain 0 (0%) Against 1 (1%)

For (114)

Maria Cantwell
U.S. Senator from Washington

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votes For and says:

Allies should establish secure mechanisms to share information on serious AI incidents, emerging catastrophic capabilities, evaluation methods and effective safeguards.
AI Verified source (Oct 7, 2026)

added 8d ago

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Xie Feng
Chinese Ambassador to the United States since 2023.

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votes For and says:

Both sides also agreed to make full use of the China-U.S. AI Dialogue, establish a bilateral communication channel for AI incidents, and work together to prevent AI misuse and abuse. These are practical steps to address shared international concerns.
AI Verified source (Sep 30, 2026)

added 4d ago

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Y. Tony Yang
George Washington University professor of health policy and associate dean; affiliated faculty member of the GW Trustworthy AI Initiative.

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votes For and says:

The first is to define reportable events together. The new channel will be worth exactly as much as its list of triggers: an agent loose outside its test environment, a model that gives real help to someone designing a pathogen, a large AI-driven int...
more AI Verified source (Sep 27, 2026)

added 18d ago

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Clément Delangue
Hugging Face cofounder and CEO

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votes For and says:

To better understand and mitigate these emerging cybersecurity risks, the global community needs stronger standards for monitoring and incident disclosure.
AI Verified source (Sep 25, 2026)

added 20d ago

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Sam Altman
CEO at OpenAI

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votes For and says:

We need a mechanism for complementary national and international frontier AI standards, standards for measuring capabilities, assessing risks, determining whether safeguards are sufficient, and preserving meaningful human oversight as systems become ...
more AI Verified source (Sep 23, 2026)

added 6d ago

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Yoshua Bengio
AI Pioneer, Turing Award winner

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votes For and says:

First, we need true scientific independence from the companies which must be held accountable. This includes a common definition of AI incidents and a shared reporting mechanism.
AI Verified source (Sep 23, 2026)

added 20d ago

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

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votes For and says:

Create an AI “red phone.” Establish a direct hotline between the U.S. and Chinese governments for urgent communication involving significant AI risks or incidents.
AI Verified source (Sep 22, 2026)

added 11d ago

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A Call for Control of Frontier AI Models
Joint September 2026 declaration by international leaders calling for stronger controls and oversight of frontier AI models.

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votes For and says:

At the same time, the rapid development of frontier AI models poses serious risks to safety and security if not appropriately managed. [...] We therefore welcome the recently launched initiatives that aim to manage the risks related to frontier techn...
more AI Verified source (Sep 21, 2026)

added 23d ago

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Scott Bessent
U.S. Secretary of the Treasury (2025–present); founder of Key Square Group

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votes For and says:

The U.S. has proposed a new "notification mechanism" for artificial intelligence incidents that could affect national security.
AI Verified source (Sep 21, 2026)

added 24d ago

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Xiao Qian
Vice Dean of Tsinghua University’s Institute for AI International Governance and Deputy Director of its Center for International Security and Strategy.

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votes For and says:

If the two countries can discuss how to report and communicate in the event of an AI-related emergency, it can help the two countries to build technical confidence over time.
AI Verified source (Sep 21, 2026)

added 24d ago

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George Chen
Partner and chair of digital practice at The Asia Group; technology and geopolitical policy expert.

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votes For and says:

The fact that both sides agreed to continue the dialogue is significant. The initial outcome - an AI risk notification mechanism - sets a precedent that other countries may follow.
AI Verified source (Sep 21, 2026)

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Paul Samson
President of the Centre for International Governance Innovation and former Canadian senior government official focused on global governance.

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votes For and says:

The second track could proceed through a coalition of aligned powers moving to establish a new institutional structure — proposed here as the AI Stability Board (AISB) — while encouraging both the United States and China to join from the outset, or o...
more AI Verified source (Sep 18, 2026)

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Philippe Rheault
Director of The China Institute at the University of Alberta and former Canadian diplomat.

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votes For and says:

First steps need not be sweeping: effective hotlines between relevant authorities, notification channels for serious AI incidents, explicit red lines around nuclear command and control, and recurring technical exchanges on evaluations and military ap...
more AI Verified source (Sep 15, 2026)

added 23d ago

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Samm Sacks
Senior fellow at New America focused on China, technology policy, cybersecurity, data governance, and artificial intelligence.

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votes For and says:

While outcomes are likely to be limited, opening a channel where both sides could share observations and jointly monitor AI safety incidents would be an important starting point.
AI Verified source (Sep 5, 2026)

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Marie Iradukunda
Research Associate at the ILINA Program focusing on frontier-AI governance in Global South countries, especially monitoring and reporting AI harms.

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votes For and says:

For funders and international community: support and/or collaborate with local actors best placed to detect AI harm, and back efforts to establish cross-border AI incident information sharing.
AI Verified source (Aug 28, 2026)

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Gleb Tsipursky
Behavioral scientist and author

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votes For and says:

Global AI governance needs a shared error passport: a portable record of consequential failures, corrections, and unresolved risks that follows an AI system across markets.
AI Verified source (Aug 13, 2026)

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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)

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Kevin Paeth
Lead Research Engineer at DSRI, where he leads development of the AI Incident Database.

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votes For and says:

Reporting and understanding these flaws is crucial to improving AI safety, but the reporting system is fragmented: researchers who identify flaws often do not know what or where to report, and information is rarely shared between all relevant stakeho...
more AI Verified source (Aug 4, 2026)

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Global AI Federation
AI-governance organization publishing accountability research and policy recommendations for AI institutions.

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votes For and says:

Open Global AI Incident Database: Modeled after aviation safety reporting systems, the industry should create a shared, non-punitive incident database for reporting severe AI failures, automated exploits, and systemic hallucinations.
AI Verified source (Jul 28, 2026)

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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)

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

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votes For and says:

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

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

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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)

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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)

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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)

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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)

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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)

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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)

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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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