TRAIL provide participants with the foundational knowledge, skills and tools to responsibly design and conduct their artificial intelligence (AI) projects. 

Logo of the program and photo of three people working together.

About the Program


TRAIL attendees learn how to apply best practices and methodologies throughout the AI life cycle, from identifying ethical concerns to assessing impact and investigating and mitigating unintended consequences. 


Led by experienced facilitators and taught by renowned Mila faculty and experts, participants have an opportunity to discuss and work with their peers and other professionals on real-world case studies. TRAIL is a space for co-creating knowledge with peers in order to collectively build a culture of responsible AI. 

Upcoming program update

The TRAIL program is currently being redesigned for 2024-25. Additional details will be available soon on this page. For more information, please contact

What you'll get

  • Expert presentations by renowned Mila professionals and external experts;

  • Case studies and practical exercises;

  • Practical tools and skills to implement RAI practices; 

  • Resources to help you get started and continue after the course;

  • TRAIL certificate of completion.

Learning objectives

  • Learn what responsible AI is;

  • Develop ethical awareness and critical thinking skills for conducting responsible AI projects;

  • Learn to assess the downstream impacts of AI research projects and make conscious design choices, through practical tools, frameworks and case studies.

Photo of Liudmyla, Data Scientist

I realized that the field of ethical AI is much broader than I thought. Practical case studies showed us the questions we need to ask at every stage to ensure that our projects are conducted ethically. It's a great course to start thinking in terms of ethical AI and to introduce more of its elements into our business.

Liudmyla, Data Scientist