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AI4Good National Training Program

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Next Generation

We are training the next generation of AI leaders and advancing equity, diversity, and inclusion in AI.

Every year, CIFAR and our partners engage hundreds of Canadian and international students, from high school students to postdoctoral fellows, providing them the opportunity to develop the skills, expertise and networks that they need to be successful in their future careers. The CIFAR AI4Good National Training Program has a dedicated focus on engaging underrepresented groups in AI, and supporting programs that advance AI approaches that deliver positive societal benefits.

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OUR INITIATIVES

CIFAR Deep Learning + Reinforcement Learning Summer School (DLRL)

For graduate and post-graduate trainees

An annual Summer School that provides more than 300 graduate and post-graduate trainees from across 20 countries with an opportunity to learn about the latest research and real-world applications of deep learning and reinforcement learning from some of the world’s leading researchers.

CIFAR OSMO AI4Good Lab

For undergraduate trainees

A 7-week summer training program that brings together 30 undergraduate trainees from across Canada who identify as women in STEM. The program includes lectures, workshops and self-directed team projects. Instructors and mentors include university researchers, graduate students, and practitioners from startups, corporates, intergovernmental organizations, and city government. The program emphasizes curiosity-driven learning and mentorship both from peers and industry experts.

Invent the Future: AI Scholars Program

For high school students

A two-week summer enrichment program for Grade 10 and 11 girls at Simon Fraser University’s Burnaby campus, sponsored by AI4ALL and CIFAR. Participants explore the world of AI through team projects, industry field trips, and by connecting with mentors and industry experts in supportive yet challenging environments.

Data Science for Social Good (DSSG) Fellowship Program

For graduate trainees

This 14-week summer program at the University of British Columbia’s Data Science Institute provides an interdisciplinary data science research experience for graduate students. DSSG Fellows are divided into multi-disciplinary teams that work on research projects submitted by local governments or non-profits. These projects involve analyzing multiple data sets and have an applied social good component for urban-related topics.

IVADO-Mila Summer School on Bias and Discrimination in AI

For graduate trainees, researchers, and practitioners

This program engages multidisciplinary teams of researchers and practitioners to explore the social and technical dimensions of bias, discrimination and fairness in machine learning and algorithm design. The course focuses specifically (although not exclusively) on gender, race and socioeconomic-based bias and data-driven predictive models leading to decisions.

Oxford Machine Learning Summer School

For graduate and post-graduate trainees

Brings together some of the top talent in AI and health to provide world-class training in machine learning, deep learning, and deep medicine. The Summer School is a unique opportunity to learn about the past, present, and future of machine learning research in healthcare (from electronic health records, imaging, and genetics to wearables, drug discovery, and more). The program is held in Oxford, UK, by Global Goals AI. CIFAR supports the participation of Canadian researchers and postgraduate students.

Support Us

CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

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