Canadian Artificial Intelligence Safety Institute

Canadian Artificial Intelligence Safety Institute

 

 
 

 
 
 
 
 
 
 

 
 

 
 
 
 
 
 
 
 

 
 

 
 
 Read our first blog post for information and best practices on AI safety and model evaluation.

 

 The Canadian Artificial Intelligence Safety Institute (CAISI) is part of the Government of Canada's plan to support the safe and responsible development and deployment of artificial intelligence (AI). Our goal is to advance the science of AI safety, in collaboration with international partners, to ensure that governments are well positioned to understand and act on the risks of advanced AI systems. These include risks posed by synthetic content, including impersonation and fraud, as well as risks posed by the development or deployment of systems that may be dangerous or hinder human oversight. To do that, we are working with experts from government, business, academia and research organizations.

 CAISI is led by Innovation, Science and Economic Development Canada, leveraging the research capabilities of the National Research Council of Canada and of the broader Canadian research community through the Canadian Institute for Advanced Research (CIFAR).

 

 
 Our work

 We will make the most of Canada’s strong AI research community as well as in-house expertise to conduct leading-edge research in collaboration with industry and the International Network of AI Safety Institutes. We study how advanced AI systems work and provide tools to ensure that the Government of Canada is well positioned to address AI safety risks as they arise. By working with partners in Canada and around the world, we aim to ensure that AI technology is used safely and that Canadians can trust it, paving the way for the responsible adoption of AI and for innovation.

 We conduct research in two key ways:

 
 Applied and investigator-led research: Through CIFAR, we fund Canadian and international experts to conduct research on critical questions related to AI safety. CIFAR's CAISI Research Program ensures that cutting-edge research informs our understanding of AI risks.

 Government-directed projects: We conduct projects supporting the government's priorities on AI safety, including joint testing with international counterparts, and provide guidance to AI developers and users and to the public on the risks of advanced AI systems and how to address them.

 
 

 
 Blog posts

 Findings and best practices for researchers, evaluators and the public

 
 What information should AI evaluators share?

 July 8, 2026 

 Sharing clear and consistent information about AI evaluations helps people make informed decisions. This blog provides reporting considerations and best practices to ensure that results are understood, trusted and used responsibly.

 Read post 

 
 

 
 Canada's global role in AI safety

 The establishment of the International Network of AI Safety Institutes was announced at the AI Seoul Summit in May 2024, with Canada as a founding member, and its inaugural convening 

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