Responsible AI Symposium
Oct 5, 2026 — 8:30 a.m. to 4:30 p.m.
Why attend?
This event brings together experts from the University of Ottawa and other institutions to explore the evolving landscape of responsible AI in higher education. Participants will gain practical insights into the policies, frameworks, and considerations that support trustworthy AI adoption.
- AI Literacy: Strengthen your understanding of AI and its impact on higher education.
- Responsible Practices: Learn about privacy, data governance, transparency, accountability, equity, and inclusion.
- Engaging Discussions: Hear diverse perspectives and participate in conversations that connect AI principles to real-world applications.
Whether you are beginning to explore AI or looking to deepen your understanding, this workshop offers an opportunity to deepen your understanding, ask questions, and engage in meaningful dialogue about responsible AI.
Discover innovation on campus
Throughout the event, visit interactive booths and attend lightning presentations highlighting AI initiatives and support services developed across uOttawa
Who should attend
This event is designed for the University of Ottawa academic community, including:
- Faculty and instructors
- Academic leaders and administrators
- Students and educational innovators
Please note: There is no virtual attendance option. Space is limited, and early registration is encouraged. Lunch is not provided.
Agenda
8:30 A.M. - Registration & Coffee 9:00 A.M. - Opening remarks (bilingual) 9:15 A.M. - Session (why should AI be responsible?) 10:00 A.M. - Session (How do we avoid harm) 10:30 A.M. - Break 10:45 A.M. - Session (How does responsible AI reliable and safe?) 11:15 A.M. - Session (Understanding and accountability in AI decisions) 12:00 P.M. - Lunch 1:00 P.M. - Partner Pitch Block (How does responsible AI show up in our project?) 1:30 P.M. - Session (Ethics, privacy, human values in practice) 2:00 P.M. - Session (How do universities govern AI responsibly?) 2:30 P.M. - Break 2:45 P.M. - Closing panel (Questions from the audience) 3:55 P.M. - Closing remarks |
Sadegh Aalizadeh
Currently pursuing the Ph.D. degree in digital transformation and innovation with the Univ
Sadegh Aalizadeh is currently pursuing the Ph.D. degree in digital transformation and innovation with the University of Ottawa, Canada. His research experience includes work in human-oriented software engineering, ethical AI design, and AI policy. He is also a member of the Knowledge Discovery and Data Mining (KDD) Laboratory, Telfer School of Management, University of Ottawa, where he contributes to various academic projects. He is also a contributing fellow of the AI and Faith Consortium, His current research interests include the application of knowledge graphs and semantic technologies for responsible AI governance, with a focus on use cases in finance and cybersecurity.
Channarong Intahchomphoo
Adjunct Professor in the School of Engineering Design and Teaching Innovation at the Unive
Channarong Intahchomphoo is an Adjunct Professor in the School of Engineering Design and Teaching Innovation at the University of Ottawa’s Faculty of Engineering. His teaching and research focus on AI ethics and responsible innovation.
Kevin Kuipers
Secondary teacher and current Master's of Interdisciplinary AI student at uOttawa
Kevin Kuipers is a secondary teacher and current Master's of Interdisciplinary AI student at uOttawa. He has worked extensively with First Nations communities across Canada as an outdoor educator, researcher and author of multiple books focused on ecology, history and geography through an Indigenous lens. He has recently taken a particular interest in the impacts of AI on education including the increasing trend of cognitive reliance on LLM tools.