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This event occurs in the past.

Innovation Morning: Governing AI for Public Trust and Responsible Innovation

Thursday, September 18, 2025 from 8:30 am to 10:30 am

Hosted at CU@Kanata, Innovation Morning is a signature event series that unites research, policy, and industry to explore meaningful solutions to emerging challenges.


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 our next Innovation Morning on 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.

Speaker presentations will be followed by an interactive Q&A session and dedicated networking time, providing space for collaboration and discussion among innovators, academics, and community stakeholders.

Light refreshments will be provided. This event is open to all!


Guest Speakers

Adegboyega Ojo

Canada Research Chair in Governance and AI | Professor, School of Public Policy and Administration

Dr. Ojo’s 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, School of Public Policy and Administration | 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 Artificial Intelligence | Assistant Professor, School of Computer Science

​Dr. Subramanian’s research focuses on developing and analyzing 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.


Agenda


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.


Event Registration