Governments should fund open-source AI safety tools and red-teaming infrastructure as public goods.

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Key insights

Across the quotes, support is usually tied to concrete infrastructure such as institutes, labs, testbeds, benchmarks, exchanges, and red-teaming services rather than to research funding in the abstract.
The quotes treat evaluation capacity as both a technical and governance function, combining safety research with third-party assessment, standards, and regulatory support.
Several contributors distinguish general AI safety work from the specific needs of open-weight or open-source models, which they describe as requiring unique tools, monitoring, and security guidance.
Access is a recurring theme: supporters emphasize lowering barriers for smaller organizations, under-resourced languages, state and local governments, and independent teams.
The main variation within the supportive quotes is over delivery model, ranging from fully open tools and benchmarks to secure, subsidized, or at-cost access for sensitive testing.

Arguments for

Shared open infrastructure

Supporters argue that datasets, evaluation frameworks, attack simulators, red-teaming tools, and related methods should be treated as shared infrastructure. Open-sourcing platforms and methods is presented as a way to let governments, researchers, and organizations build rigorous evaluation capability without starting from zero.

Companies and governments should invest in shared open infrastructure for AI defense — datasets, evaluation frameworks, attack simulators and red-teaming tools — much as past generations invested in open source software.

NVIDIA · Jul 27, 2026 · full quote
By open-sourcing not only Inspect, but also our methods and infrastructure where we can, we hope to help researchers, organisations, and other evaluators stand up rigorous evaluation capability without starting from zero.

AI Security Institute (AISI) · Jun 18, 2026 · full quote
The UK, through AISI, has developed the world’s most widely used government-backed evaluation tools. Inspect, InspectSandbox, InspectCyber, and our latest release, ControlArena, are now being used by governments, companies, and academics around the world. These open tools lower t…

Kanishka Narayan · Feb 10, 2026 · full quote
I created Inspect because I wanted to provide a strong technical foundation for governments, researchers, and labs to collaborate on testing and understanding frontier models. I am thrilled to have seen so many organisations adopt it, as well as to have accepted contributions fro…

JJ Allaire · Jun 18, 2026 · full quote

Public evaluation capacity

Many quotes say the ability to test and evaluate advanced systems is integral to safety itself. Because frontier AI raises public safety and national security questions, they argue governments need their own institutes, labs, expertise, and funding to conduct transparent third-party assessment.

First, the federal government should lead the testing and evaluation of the most advanced systems. Frontier AI raises national security and public safety questions that require technical expertise, resources, and access that no state can fully replicate.

OpenAI · Jul 15, 2026 · full quote
The Commission will help establish an EU evaluation capacity to strengthen third-party assessment of AI capabilities and risks globally, supporting the regulatory function of the AI Office.

European Commission · Jul 7, 2026 · full quote
We must therefore treat the capacity to evaluate and govern AI as an integral part to safety itself, supported through shared tools, pooled expertise, and cooperation across regions.

Government of Pakistan · Jul 7, 2026 · full quote
The Government has built in response: an Australian AI Safety Institute, up and running, staffed with world-class expertise, and already inside the engine rooms of frontier AI, testing the most powerful models on the planet.

Andrew Charlton · Jul 7, 2026 · full quote
Canada will invest $50 million to expand the capabilities of the Canadian AI Safety Institute to track emerging AI risks, advance technical research, and to conduct transparent evaluations of AI models.

Innovation, Science and Economic Development Canada · Jun 8, 2026 · full quote

Transparency and inclusion

Proponents say open, auditable tools and open benchmarks make safeguards transparent, verifiable, reproducible, and easier to share across teams. They also link public funding to regionally hosted and local-language evaluation capacity so oversight is not concentrated in a few actors or languages.

Safety tools cannot remain exclusive to the largest companies; they must be open, auditable, and collectively improved—serving as a common good for the benefit of society. This is how we will build trustworthy AI that truly protects our children, our teenagers, and all our fellow…

Anne Le Hénanff · Jun 2, 2026 · full quote
By building safety tools in the open, this partnership will help organizations of every size adopt AI more responsibly. It strengthens trust, supports Canadian leadership in safe AI, and helps ensure the safeguards people rely on are transparent, verifiable, and shared.

Evan Solomon · Jun 2, 2026 · full quote
In collaboration with the Vector Institute, we created new extensions to Inspect AI—the leading framework for AI safety evaluation—that make testing more transparent, reproducible and easier to share across teams.

National Research Council Canada · May 21, 2026 · full quote
We call for publicly financed, regionally hosted capacity to evaluate AI systems before they are deployed, and open benchmarks built with and for under-resourced languages, so oversight is not outsourced to the same few actors it is meant to oversee.

Rebecca Rektimbo · Jul 7, 2026 · full quote
The report advances ten recommendations under the SAFE framework — Standards, Accountability, Finance, and Equity — including adopting the Model Openness Framework as a shared reference for assessing openness, building governance support around the Digital Public Goods Alliance e…

United Nations Office for Digital and Emerging Technologies · Jun 25, 2026 · full quote

Filling private incentive gaps

Several quotes frame safety tooling and maintenance as a public good that markets may underprovide, especially when corporate profit concerns conflict with access or when critical open-source projects receive too little attention. On this view, governments should fund maintainers, independent teams, vulnerability detection, and cybersecurity testing that would otherwise remain scarce.

The challenge is especially acute for open source software, since it’s a public good. Open source software underpins every software service we rely upon, including across critical infrastructure and the Federal government. A string of recent incidents have highlighted the need fo…

Jack Cable · Jun 4, 2026 · full quote
When the cost of providing access to AI models conflicts with corporate profit concerns, the U.S. government should step in by providing targeted funding and facilitating cross-lab coordination and efficiency. The U.S. government should also facilitate cybersecurity testing of wi…

Matthew Ferren · Jun 22, 2026 · full quote
Funding should be allocated for open-source maintainers, and frontier AI developers should be required to give them access to their models for security work.

Lori Trahan · Jun 1, 2026 · full quote
Within 30 days of the date of this order, the Director of OMB, in coordination with the National Cyber Director and the Director of CISA, shall determine whether any Federal grant programs have available and relevant funding that can be directed toward applicants developing advan…

Donald Trump · Jun 2, 2026 · full quote
Corporate AI often prioritizes profit over public good, and critical capabilities (safety, security, equitable access) may never be developed privately.

Bruce Schneier · 2026 · full quote

Open-weight security research

Some supporters focus specifically on open-weight or open-source models, arguing that their openness creates distinctive security and ecosystem risks. They call for dedicated research on adversarial robustness, benchmarks and guidance for open-source models, and defensive tools that let deployers verify integrity before deployment.

Recognizing that their inherent openness introduces unique security risks, the US government should prioritize research into identifying and mitigating vulnerabilities in open-weight AI models. This includes funding research on adversarial robustness including attacks and testing…

IEEE-USA · Apr 20, 2026 · full quote
Safety for open-weight models whose capabilities are nearing frontier closed models requires unique tools for open-weight model safety and ecosystem monitoring. [...] Accelerated public and private investment in research is required to keep pace with commercially driven growth in…

The 2026 Singapore Consensus on Global AI Safety Research Priorities · Jul 2026 · full quote
The Committee directs NIST to conduct a multi-stakeholder process to examine security risks associated with open-source artificial intelligence models such as model integrity, malicious modification, supply chain compromise, and data leakage. As part of this process, NIST shall i…

House Committee on Appropriations · May 2026 · full quote
For organizations deploying open-weight models, a critical question emerges: how do you know the model you downloaded is safe to run? We believe defensive security tools should be widely available. AMS represents our contribution to a safer AI ecosystem—one where developers every…

Glen Messenger · Apr 27, 2026 · full quote
At the European level, the existing legal frameworks, including NIS2, CRA and the EU AI Act should be leveraged, to ensure that systemic risks stemming from the most advanced AI models are assessed and mitigated. To this end, it may be useful to establish EU-wide state-of-the-art…

European Union Agency for Cybersecurity (ENISA) · Jul 2026 · full quote

Middle ground

Controlled shared access

Some supportive quotes envision public goods that are shared, but not always unrestricted: infrastructure may be provided in secure environments, on a subsidized or at-cost basis, or open-sourced only where feasible. This approach aims to expand access while handling proprietary models, liability, and operational constraints.

By open-sourcing not only Inspect, but also our methods and infrastructure where we can, we hope to help researchers, organisations, and other evaluators stand up rigorous evaluation capability without starting from zero.

AI Security Institute (AISI) · Jun 18, 2026 · full quote
If the modifier is required to conduct Step 3 as part of their initial burden when Steps 1 and 2 are inconclusive, the oversight body may, on application by an SME modifier, provide access to a shared government-funded red-teaming infrastructure at cost, recoverable from the ulti…

Bipin Kumar B · Mar 23, 2026 · full quote
Making available a research test-bed to private sector and academic researchers, on a subsidized basis, to engage in artificial intelligence security research, including through the secure provision of access in a secure environment for pre-deployment testing of proprietary third…

United States Senate Select Committee on Intelligence · May 20, 2026 · full quote
Particularly in the context of AI-driven vulnerability discovery and exploit development, state and local governments will need ready access to the tools and capabilities that allow them to discover and remediate technical vulnerabilities in their systems. CISA and the MS-ISAC an…

Samir Jain · May 21, 2026 · full quote

Government-led distributed delivery

Several quotes envision government as lead funder or convener, but not as the sole builder. They describe safety infrastructure as something developed through distributed governance across academia, industry, open-source communities, and public institutions, including international exchanges of tools and methods.

In order to reinforce the warning’s message, the General Board calls on the EU to scale up its capacity, expertise and strategic autonomy in this critical area. This requires a coordinated answer of all parties, including AI providers, software providers, security firms, open-sou…

European Systemic Risk Board · Jul 7, 2026 · full quote
PESOSE supports the creation of managing organizations for these ecosystems, ensuring strong governance, distributed development, and broad user communities across academia, industry, and government. PESOSE also supports enhancements to the safety, security, and privacy of Open-S…

National Science Foundation · Feb 19, 2026 · full quote
Authorizing the Center for Artificial Intelligence Standards and Innovation at NIST, standing up joint testbeds across NIST, NSF, and the Department of Energy with private sector partners, and launching grand challenges for AI in science and advanced manufacturing — this is the k…

Austin Carson · Feb 26, 2026 · full quote
Moving forward, the program will establish a forum comprised of universities, industry, and U.S. government representatives to fund, guide, and manage fast-paced, university-led research projects.

Defense Advanced Research Projects Agency (DARPA) · Jun 1, 2026 · full quote
The Canadian and Korean AI Safety Institutes have signed a memorandum of understanding to strengthen international cooperation on artificial intelligence safety. Through this collaboration, the institutes will exchange information on AI technologies, risks, methodologies, tools a…

Government of Canada · Jul 8, 2026 · full quote

In the provided quotes, the case for public funding is framed around shared infrastructure, independent evaluation capacity, and filling gaps left by private incentives. The main differences are about implementation: how open tools should be, when testing should occur in secure environments, and how governments should coordinate with companies, universities, and international partners. The provided material does not develop a substantive argument against government support.

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Total (81 votes)

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For (81)

Ministry of Electronics and Information Technology
Government AI policy institution.

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votes For and says:

The Safe & Trusted AI pillar of the IndiaAI Mission aims to promote the responsible development, deployment and adoption of AI through indigenous governance frameworks, standards, tools and evaluation mechanisms. 13 Responsible AI projects have been ...
more AI Verified source (Jul 27, 2026)

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Government of India
National government of India, speaking through its Permanent Representative at the United Nations on artificial intelligence governance.

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votes For and says:

The Safe & Trusted AI pillar of the IndiaAI Mission aims to promote the responsible development, deployment and adoption of AI through indigenous governance frameworks, standards, tools and evaluation mechanisms. 13 Responsible AI projects have been ...
more AI Verified source (Jul 27, 2026)

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NVIDIA
GPU and AI computing company

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votes For and says:

Companies and governments should invest in shared open infrastructure for AI defense — datasets, evaluation frameworks, attack simulators and red-teaming tools — much as past generations invested in open source software.
AI Verified source (Jul 27, 2026)

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Advanced Research and Invention Agency (ARIA)
United Kingdom public R&D agency sponsoring AI-safety research and open-source coordination infrastructure.

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votes For and says:

To kickstart Phase 1 of this programme, we will be funding teams to develop open-source coordination infrastructure and perform fundamental research that moves us from empirical to theory-driven guarantees in agentic coordination.
AI Verified source (Jul 18, 2026)

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OpenAI
AI research organization

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votes For and says:

First, the federal government should lead the testing and evaluation of the most advanced systems. Frontier AI raises national security and public safety questions that require technical expertise, resources, and access that no state can fully replic...
more AI Verified source (Jul 15, 2026)

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Chris Lehane
OpenAI chief global affairs officer

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votes For and says:

First, the federal government should lead the testing and evaluation of the most advanced systems. Frontier AI raises national security and public safety questions that require technical expertise, resources, and access that no state can fully replic...
more AI Verified source (Jul 15, 2026)

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The White House
Executive office of U.S. president

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GOLD EAGLE, established in President Trump’s June 2, 2026 Executive Order “Promoting Advanced Artificial Intelligence Innovation and Security” (EO 14409), represents a new operational model for cyber defense. This new model will leverage frontier AI ...
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Rebecca Rektimbo
Connectivity Technical Projects Coordinator for LOCNET, a collaboration initiative of the Association for Progressive Communications and Rhizomatica, speaking at the UN Global Dialogue on AI Governance.

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votes For and says:

We call for publicly financed, regionally hosted capacity to evaluate AI systems before they are deployed, and open benchmarks built with and for under-resourced languages, so oversight is not outsourced to the same few actors it is meant to oversee.
AI Verified source (Jul 7, 2026)

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European Systemic Risk Board
European Union body responsible for macro-prudential oversight and the prevention or mitigation of systemic risks to financial stability.

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votes For and says:

In order to reinforce the warning’s message, the General Board calls on the EU to scale up its capacity, expertise and strategic autonomy in this critical area. This requires a coordinated answer of all parties, including AI providers, software provi...
more AI Verified source (Jul 7, 2026)

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Andrew Charlton
Australian Assistant Minister for Science, Technology and the Digital Economy

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The Government has built in response: an Australian AI Safety Institute, up and running, staffed with world-class expertise, and already inside the engine rooms of frontier AI, testing the most powerful models on the planet.
AI Verified source (Jul 7, 2026)

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European Commission
EU's executive body

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The Commission will help establish an EU evaluation capacity to strengthen third-party assessment of AI capabilities and risks globally, supporting the regulatory function of the AI Office.
AI Verified source (Jul 7, 2026)

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

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We must therefore treat the capacity to evaluate and govern AI as an integral part to safety itself, supported through shared tools, pooled expertise, and cooperation across regions.
AI Verified source (Jul 7, 2026)

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Xinchen Hua Lu
UN AI panel member and researcher at CSIRO Australia.

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The government industrial research organizations, they could share their current evaluation tools or methods, evidence through the common platforms.
AI Verified source (Jul 7, 2026)

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European Union Agency for Cybersecurity (ENISA)
European Union agency dedicated to achieving a high common level of cybersecurity across Europe.

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votes For and says:

At the European level, the existing legal frameworks, including NIS2, CRA and the EU AI Act should be leveraged, to ensure that systemic risks stemming from the most advanced AI models are assessed and mitigated. To this end, it may be useful to esta...
more AI Verified source (Jul 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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Safety for open-weight models whose capabilities are nearing frontier closed models requires unique tools for open-weight model safety and ecosystem monitoring. [...] Accelerated public and private investment in research is required to keep pace with...
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Baroness Lloyd of Effra
Liz Lloyd; UK Parliamentary Under-Secretary of State for AI and Digital Government (DSIT)

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Dedicated AIRR capacity supports the AI Security Institute and the Sovereign AI Unit, including guaranteed resource for mission-critical AI safety research, and strategically selected UK AI startups.
AI Verified source (Jun 29, 2026)

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Jan Wehner
AI governance researcher at the Institute for AI Policy and Strategy, writing on AI safety and cybersecurity.

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To avoid losing visibility into cutting-edge AI cyberattack capabilities exactly when it matters most, I argue governments should fund independent threat-intelligence collection and sharing, develop AI-specific forensic capabilities, build the capaci...
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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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The report advances ten recommendations under the SAFE framework — Standards, Accountability, Finance, and Equity — including adopting the Model Openness Framework as a shared reference for assessing openness, building governance support around the D...
more AI Verified source (Jun 25, 2026)

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University of Oxford
University and research institution publishing official information on government-backed AI research and safety.

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The University of Oxford has been selected to host a new, cross-university government-backed UK AI Research Lab. The new lab is part of a £60 million investment announced today by the UKRI's Engineering and Physical Sciences Research Council (EPSRC) ...
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Matthew Ferren
Council on Foreign Relations International Affairs Fellow in National Security and former U.S. Department of Defense cyber-policy official.

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When the cost of providing access to AI models conflicts with corporate profit concerns, the U.S. government should step in by providing targeted funding and facilitating cross-lab coordination and efficiency. The U.S. government should also facilita...
more AI Verified source (Jun 22, 2026)

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AI Security Institute (AISI)
UK government AI safety institute

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By open-sourcing not only Inspect, but also our methods and infrastructure where we can, we hope to help researchers, organisations, and other evaluators stand up rigorous evaluation capability without starting from zero.
AI Verified source (Jun 18, 2026)

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The AI Security Institute
UK government research organisation focused on AI safety and security

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By open-sourcing not only Inspect, but also our methods and infrastructure where we can, we hope to help researchers, organisations, and other evaluators stand up rigorous evaluation capability without starting from zero. We hope that the Engineering...
more AI Verified source (Jun 18, 2026)

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Mischa Spiegelmock
Technical staff member at METR working on frontier model evaluations

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Absolutely central to METR's evaluations is Inspect, which we've built our own open source cloud eval platform on top of, along with actively contributing to the Inspect codebase to run larger and more complex evaluations.
AI Verified source (Jun 18, 2026)

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JJ Allaire
Founder and Executive Chairman of Posit; creator of Inspect

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I created Inspect because I wanted to provide a strong technical foundation for governments, researchers, and labs to collaborate on testing and understanding frontier models. I am thrilled to have seen so many organisations adopt it, as well as to h...
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Innovation, Science and Economic Development Canada
Government of Canada department responsible for innovation, science, and economic development.

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Canada will invest $50 million to expand the capabilities of the Canadian AI Safety Institute to track emerging AI risks, advance technical research, and to conduct transparent evaluations of AI models.
AI Verified source (Jun 8, 2026)

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Jack Cable
CEO and co-founder of Corridor; former CISA Secure by Design initiative lead and cybersecurity expert.

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The challenge is especially acute for open source software, since it’s a public good. Open source software underpins every software service we rely upon, including across critical infrastructure and the Federal government. A string of recent incident...
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Donald Trump
President of the United States

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Within 30 days of the date of this order, the Director of OMB, in coordination with the National Cyber Director and the Director of CISA, shall determine whether any Federal grant programs have available and relevant funding that can be directed towa...
more AI Verified source (Jun 2, 2026)

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Camille François
President and CEO of Robust Open Online Safety Tools (ROOST)

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The safety problems that matter most are often the ones no one has been able to solve in the open. Safety guardrails for youth resilience is a clear example: the need is global, but the tools are scarce.
AI Verified source (Jun 2, 2026)

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Anne Le Hénanff
French Minister for Artificial Intelligence and Digital Affairs.

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Safety tools cannot remain exclusive to the largest companies; they must be open, auditable, and collectively improved—serving as a common good for the benefit of society. This is how we will build trustworthy AI that truly protects our children, our...
more AI Verified source (Jun 2, 2026)

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Evan Solomon
Canada's Minister of Artificial Intelligence and Digital Innovation; Liberal MP for Toronto Centre

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By building safety tools in the open, this partnership will help organizations of every size adopt AI more responsibly. It strengthens trust, supports Canadian leadership in safe AI, and helps ensure the safeguards people rely on are transparent, ver...
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