Innovation Morning: Governing AI for Public Trust and Responsible Innovation
Innovation Morning: Governing AI for Public Trust and Responsible Innovation
Categories: General | Intended for Anyone

Location Details
CU@Kanata, 350 Legget Drive, Suite 101
Contact Information
Kim Perry, 6138186646, Kim.perry3@carleton.ca
Registration
Cost
$0
About this Event
Host Organization: CU@Kanata
More Information: Please click here for additional details.
As artificial intelligence continues to reshape industries, governments, and communities, the question of how to govern it responsibly has never been more urgent. Join us for Innovation Morning: Governing AI for Public Trust and Responsible Innovation, a thought-provoking event that brings together leading Carleton University voices in AI policy, ethics, and governance. Through expert insights and interactive dialogue, we’ll examine the frameworks needed to build public trust and ensure responsible integration of AI into public systems.
Guest Speakers
Adegboyega Ojo – Canada Research Chair in Governance and AI and School of Public Policy and Administration Professor
Dr. Ojo research focuses on how AI, data-driven innovation and advanced analytics improve government services and address societal challenges while ensuring ethical implementation. He examines the technical and policy conditions needed for AI adoption in the public sector, with a focus on transparency, accountability and social impact.
Graeme Auld – Professor in Carleton University’s School of Public Policy and Administration and the Co-Editor of Regulation & Governance
Dr. Auld researches regulatory governance across sustainability, climate risk, and emerging technologies, with recent work examining how assurance actors shape responsible conduct in global commerce, including in the context of artificial intelligence.
Sriram Subramanian – Canada Research Chair in AI, Assistant Professor at Carleton’s School of Computer Science
Presenting “The AI Policy Lab: Simulating Our Way to Smarter Government.” Dr. Subramanian’s research develops and analyzes scalable, safe, and efficient multi-agent reinforcement learning algorithms; bridging theory and practice to tackle real-world challenges in generative AI, robotics, finance, and autonomous systems.
Who Should Attend?
Whether you’re a policymaker, technologist, researcher, or engaged citizen, this event offers a unique opportunity to connect with experts and peers who are shaping the future of ethical AI.
Agenda:
8:30 –9:00am: Arrival and networking over coffee
9:00-9:10am: Welcome Remarks & Introductions
9:10 – 9:40am: Research Presentations
9:40-10:00am Open Q&A
10:00-10:30am Networking