OTTAWA, ON, Nov. 9, 2026 /CNW/ -- The declaration has been signed on Monday 9 November 2026 by the following Heads of States and Governments and CEOs:
Heads of States and Governments: Bahrain, Canada, Finland, France, Norway, the Netherlands.
Companies: Anthropic, Black Forest Labs, Cohere, Domyn, Hugging Face, Microsoft, Mistral AI, OpenAI, Sakana AI, Synthesia
Civil society: LawZero (Yoshua Bengio), SaferAI (Henry Papadatos), AI Safety Connect (Nicolas Miailhe), Ifri (Laure de Roucy-Rochegonde)
The statement remains open to new endorsements and is being updated.
"We reaffirm our shared interest and common responsibility in building advanced artificial intelligence that is safe, secure, useful, and widely available to all. The responsible development of these technologies and the adoption of reliable AI systems represent unprecedented drivers of economic, scientific, and social progress for our nations.
Our ambition is to lay the necessary foundations for safe adoption. Frontier models transcend national borders in their development, deployment and impact, and their opportunities and risks are therefore inherently global. We all have a role in protecting our societies while enabling research, innovation and the wider use of AI. It is our collective responsibility to protect citizens, businesses and institutions, while also fostering an environment conducive to research, innovation, and the widespread adoption of these technologies. No actor, be it a State, a company or an international organization, can solely manage all these risks. In this regard, continuing efforts from policymakers, researchers, and AI companies have laid the groundwork for concrete cooperation for taking actions, including through the Hiroshima process, the Frontier Safety Commitments of the Seoul AI Summit, the G7 Evian AI meeting, the United Nations Security Council meeting on AI held on 23 September and the "Call for Control of Frontier AI Models".
Today's discussions have highlighted three fundamental areas of consensus: the need for a clear, understandable, and predictable regulatory framework; the urgency of achieving tangible and immediate results in transparency, incident reporting and risk management; and the absolute necessity of implementing rigorous evaluation standards.
This declaration reflects our commitment to making a substantial contribution and accelerating the implementation of these priorities.
To operationalize this shared vision, we commit today to establishing a structured framework for cooperation based on three major strategic commitments:
First, policy makers, researchers and developers are committed to establishing a common framework for the evaluation and risk management of frontier models, building on existing frameworks.
This framework would be supported by common technical standards, evaluation tools and methodologies that keep pace with advances in frontier model capabilities, with particular focus on mitigating dangerous misuse, including in the cyber and CBRN domains, and risks arising from growing autonomy or model misalignment, including loss of control. In this regard, we are committed to reinforcing technical cooperation, and recognize the role that existing networks, including International Network for Advanced AI Measurement, Evaluation and Science (NAAIMES) can play in making evaluation methods and results more comparable and accessible to countries across different regions.
Furthermore, we agree to publish the non-sensitive findings of our evaluations in a standardized format to ensure comparability, while also creating a publicly accessible shared repository. This could encompass red-teaming protocols, benchmarking tools, risk-assessment, stress-test results.
Second, we affirm the principle of responsibility and accountability for all actors in the AI ecosystem, based on their role in this ecosystem.
We commit to ensure strict compliance with rigorous safety standards established or recognized by competent national authorities across the model lifecycle, under the oversight of those authorities and with credible, competent and independent third-party evaluation in order to foster the necessary trust among all stakeholders and enable wider adoption of AI. Clear incentives can be used to encourage prioritization of safety and security from the design phase throughout the lifecycle;
Policy makers:
Recognize the need to ensure that legal frameworks clarify responsibilities and accountability in case of large-scale damages to protect the interests of those affected, including where harm crosses borders in order to provide AI companies with legal certainty for their economic development.
Developers of frontier models:
Commit to disclose model capabilities, limitations, and known risks and, where appropriate and proportionate to the risk, support the evaluation of models by qualified independent evaluators, as appropriate and consistent with existing practices and arrangements. Developers also commit to implement fail-safe mechanisms to shut down model operations within their control, including during training and internal use (e.g. restrictions, pauses or shutdowns);
Acknowledge the risk posed by the removal or circumvention of safeguards, including abliteration, and the importance of addressing that risk while preserving the benefits of open-weight development for research, innovation and safety purposes;
Recognize the importance that internal governance must mandate continuous risk management practices, real-time monitoring of emergent capabilities, rigorous internal red-teaming, and transparent reporting lines that protect internal researchers. Developers are committed to working on a clear governance structure with defined responsibilities, adequate resources and independent oversight.
Thirdly, policy makers, researchers and developers are committed to information sharing, reporting and early warning systems.
The deployment of rapid alert systems, building on relevant existing incident-response arrangements, including cybersecurity arrangements, is essential to prevent cascading systemic risks and to formulate collective responses to emerging threats, so as to support their timely resolution and limit their consequences and real-world impacts.
We recognize the value of strengthening existing reporting arrangements to align on incident classification and share timely information on serious cyber and AI control incidents and other material precursor signals of serious harm, whether it's between companies and government, between governments or between AI companies, and of exploring whether a cooperation mechanism would help, and what its scope could be.
Policy makers commit to offer secure and confidential channels through which whistleblowers, including employees and other relevant stakeholders, can raise concerns about systemic risks on reasonable grounds without fear of legal or professional retaliation."
This document is also available at https://pm.gc.ca
SOURCE Prime Minister's Office
PMO Media Relations: [email protected]
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