{"id":64337,"date":"2026-01-21T14:00:12","date_gmt":"2026-01-21T19:00:12","guid":{"rendered":"https:\/\/cifar.ca\/?p=64337"},"modified":"2026-06-02T14:44:29","modified_gmt":"2026-06-02T18:44:29","slug":"a-year-of-impact-for-ai-safety-in-canada","status":"publish","type":"post","link":"https:\/\/cifar.ca\/cifarnews\/2026\/01\/21\/a-year-of-impact-for-ai-safety-in-canada\/","title":{"rendered":"A Year of Impact for AI Safety in Canada"},"content":{"rendered":"

In 2025, the CAISI Research Program at CIFAR awarded $2.4M in funding to advance innovative research in AI safety\u00a0<\/strong><\/span><\/h2>\n

In just one year of the Canadian Artificial Intelligence Safety Institute (CAISI) Research Program at CIFAR, $2.4M was deployed to catalyze 12 groundbreaking research projects designed to identify and mitigate the risks of advanced artificial intelligence (AI) systems. The impact of this work is highlighted in the research program\u2019s 2025 Year In Review Report: Building Safe AI for Canadians.<\/a><\/span><\/p>\n

AI safety has emerged as a globally significant research field, dedicated to addressing the risks that AI poses to society. In response, the Government of Canada announced the launch of CAISI to enhance Canada\u2019s capacity to address AI safety risks. Through CAISI, the government <\/span>awarded CIFAR $27M <\/span><\/a>to lead an independent, multidisciplinary program dedicated to advancing AI safety research.<\/span><\/p>\n

The research program aims to address the sociotechnical challenges of AI safety, including algorithmic bias, discrimination and the spread of disinformation through deepfakes and AI-generated content; preventing cybersecurity attacks and models that provide inaccurate or unreliable information; and safeguarding against malfunctions, such as the loss of human control and oversight in AI systems as they become increasingly more autonomous.<\/span><\/p>\n

\"CAISI<\/p>\n

Advancing High-Impact Sociotechnical Research<\/span><\/strong><\/h2>\n

<\/b>\u201cCanada\u2019s global reputation in AI is built on a foundation of research excellence and world-class talent. Through the CAISI Research Program at CIFAR, we are leveraging that strength and expertise to lead the next frontier and ensure that AI is not only powerful but also safe, trustworthy and aligned with human values,\u201d says Elissa Strome, Executive Director of the Pan-Canadian AI Strategy at CIFAR.<\/span><\/p>\n

The success of the CAISI Research Program lies in its ability to mobilize Canada\u2019s exceptional AI talent necessary to understand and design ways to mitigate the risks of advanced AI systems.<\/span><\/p>\n

\u201cBy fostering a critical mass of skilled talent and enabling multidisciplinary collaborations among the research community, government and industry, we are positioning Canada as a global leader in safe and trustworthy AI. This inaugural Year in Review report demonstrates that Canada is not only on the right track but also possesses the depth and caliber of expertise necessary to move the needle on the world\u2019s most pressing AI safety challenges,\u201d says CAISI Research Program Co-Directors Catherine R\u00e9gis<\/a> (Universit\u00e9 de Montr\u00e9al, Mila<\/span>)<\/b> and Nicolas Papernot<\/a> (University of Toronto, Vector Institute).<\/span><\/p>\n

The report highlights many extraordinary projects awarded in 2025, including the CIPHER project, which is developing a \u201chuman-in-the-loop\u201d AI system designed to empower civil society organizations to detect and neutralize coordinated disinformation campaigns; Mila\u2019s AI Safety Studio which is proactively addressing the risks of companion chatbots and creating safeguards to protect vulnerable users; and Vector Institute\u2019s landmark study of 11 world-leading AI models, assessing their reliability and accuracy to ensure they are safe for high-stakes environments.<\/span><\/p>\n

Read the CAISI Research Program at CIFAR\u2019s 2025 Year in Review Report: Building Safe AI for Canadians<\/a>. Access a full PDF of the report here<\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

In 2025, the CAISI Research Program at CIFAR awarded $2.4M in funding to advance innovative research in AI safety\u00a0 In just one year of the […]<\/p>\n","protected":false},"author":63,"featured_media":64338,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6159,1038,3889,994,6477,5871],"tags":[6160,6532,6161,6531],"class_list":["post-64337","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-safety","category-announcement","category-cifar-pan-canadian-ai-strategy","category-news","category-pcais-home-featured","category-z-cifar-pan-canadian-ai-strategy-and-news-2","tag-ai-safety","tag-caisi","tag-canadian-ai-safety-institute","tag-canadian-ai-safety-institute-research-program"],"acf":[],"yoast_head":"\nCIFAR<\/title>\n<meta name=\"description\" content=\"In 2025, the CAISI Research Program at CIFAR awarded $2.4M in funding to advance innovative research in AI safety\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cifar.ca\/cifarnews\/2026\/01\/21\/a-year-of-impact-for-ai-safety-in-canada\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Year of Impact for AI Safety in Canada - 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