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“Inbo supported both the design process and the final product including delivery of the program! They also created an inclusive space for the entire team to contribute. They are creative and so much fun to work with!”
Mila – Quebec Artificial Intelligence Institute is one of the world’s leading AI research centers, globally recognized for advancing deep learning and shaping the ethical future of AI.

Mila envisioned a groundbreaking leadership program that could unite PhD students, faculty leaders, and AI professionals across diverse industries around the principles of responsible AI. The challenge was designing a program that spoke to these varied audiences while bridging the cultural and practical gap between academic research and real-world application. Their challenge was designing something that would:
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We partnered with Mila to design and deliver TRAIL: Trustworthy and Responsible AI Learning, a six-week leadership certificate program that combined research-driven content with experiential, participatory learning.
Interdisciplinary learning: Sessions explored fairness, accountability, transparency, governance, ethics, and human rights, bringing together legal, technical, and social perspectives.
Real-world application: Participants engaged with complex case studies, scenario-based exercises, and collaborative projects, applying responsible AI frameworks to real challenges in research and industry.
Participatory design: We created a learning environment that encouraged dialogue, collaboration, and co-creation, empowering participants to shape how responsible AI could look in their own work.
Blended delivery: The program blended virtual and in-person modules, from expert-led talks and impact assessment workshops to hands-on exercises.
Equipping Leaders to Shape an Ethical AI Future
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The TRAIL program delivered transformative outcomes. Participants gained a holistic understanding of AI’s societal impact and developed the skills to critically evaluate ethical, legal, and socio-technical challenges. Many reported heightened awareness of responsible AI principles and felt empowered to apply these frameworks in their research, policy, and product development work. The program built bridges between disciplines and sectors, strengthening a growing network of AI leaders committed to human-centered, ethical innovation.
The success of TRAIL lay in its fusion of rigorous content and experiential design. By centering collaboration, real-world application, and inclusive facilitation, we created a program that transcended traditional lectures and inspired meaningful change. Participants didn’t just learn about responsible AI, they practiced it, questioned it, and left equipped to lead it.
