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Establish an international AI incident reporting system

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Key insights

Support in the quotes comes from a wide mix of governments, standards bodies, companies, researchers, and civil-society organizations, as shown in the source bios.
Many supporters frame incident reporting as an early-warning and learning system for serious incidents, near-misses, and unexpected capabilities, not just as after-the-fact disclosure.
A recurring rationale is fragmentation: several quotes say current reporting channels, definitions, and forms are inconsistent or missing, making it hard to share reports or identify patterns.
Several supportive quotes prefer interoperability or minimum compatibility across jurisdictions rather than identical global rules, often linking this to different national capacities and legal priorities.
The quotes reveal a design tension over disclosure: some call for public or open repositories, while others emphasize confidential or anonymous reporting through neutral platforms.

Arguments for

Cross-border risk coordination

Because AI incidents can have international implications and AI 'knows no borders,' supporters argue that countries need interoperable reporting and shared understanding so lessons and responses can travel across jurisdictions. Cross-border infrastructure is presented as a way to detect, share, and act on hazards together and prevent repeated harms elsewhere.

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
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
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
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
As AI systems become more capable and are increasingly deployed across borders and sectors, incidents involving these systems increasingly have international implications. Effective responses often depend on timely coordination between governments, companies, and other stakeholde…

Josephine Schwab · May 12, 2026 · full quote

Early warning and response

Proponents describe reporting as an early-warning mechanism for serious incidents, near-misses, and capability surprises, giving governments and other actors timely information to coordinate containment, mitigation, and emergency response. They argue dangerous behavior should not stay behind closed doors and that prompt notification is needed before harms escalate.

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
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
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

Shared evidence and standards

Several quotes say current reporting is fragmented, with no centralized or accountable pathway and incompatible forms or thresholds. A structured international system with common definitions, report data elements, and interoperable standards is presented as a way to reduce duplication, see patterns across cases, and turn incidents into usable evidence for policy and safety controls.

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
Right now, there is no centralized, accountable way to report flaws in AI systems.

Avijit Ghosh · Jul 1, 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
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
That makes it very, very difficult to see patterns over whole datasets to understand trends.

Simon Mylius · Jan 19, 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

Accountability for frontier models

Some supporters emphasize that the most capable systems should face clear legal duties, including independent audits or testing, strong security standards, and prompt reporting of safety or security incidents. In this view, incident reporting is part of targeted accountability and human oversight for frontier AI, giving governments a reliable window into dangerous model behavior.

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

Dario Amodei · Jun 2026 · full quote
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 of AI policy in the Republica…

Mark Beall · Jun 25, 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

Arguments against

Use existing channels

One quoted critic argues that policymakers should not create entirely new reporting institutions. Instead, existing channels and trusted relationships should be adapted to incorporate frontier-model information, which is presented as faster and more effective than building new bodies 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

Compatibility over uniformity

Several supportive quotes favor minimum practical compatibility and bilateral or multilateral notification arrangements rather than a heavy new bureaucracy or treaty body. They argue for shared terminology, risk classifications, documentation, and incident reporting, while allowing countries to sequence implementation according to institutional capacity and legal priorities.

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
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
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
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
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

Inclusive and protected reporting

Several quotes argue that local actors best placed to detect harm and the people being harmed should be included in incident reporting. They also call for confidential or anonymous channels, neutral platforms, and separation from liability or commercial pressure so incidents are actually shared and acted on.

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
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
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
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 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
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

In the provided quotes, disagreement centers more on institutional design than on the value of cross-border awareness of serious AI incidents. Supporters describe international reporting as a foundation for learning, coordination, and accountability, while the main caution is to avoid duplicating institutions and to build on trusted channels where possible. Questions about interoperability, disclosure protections, inclusion, and national capacity remain central to how such a system would be built.

Cast your vote:

Results (101 votes):

Total (101 votes)

For 100 (99%) Abstain 0 (0%) Against 1 (1%)

For (98)

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)

added 24d ago

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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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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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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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