I think the important point is the one that I made in my opening statement: It's the the need for deep flexibility. As the technology develops quickly and the world moves quickly around the development, deployment and adoption of AI, the regulations also need to be flexible and dynamic and move quickly. Innovation will be necessary in how we approach the regulation of AI in Canada.
It's things like bringing together multi-stakeholder groups to provide insight, ideas, advice and expertise. It's learning from the processes and approaches that the private sector is taking in order to comply with the regulations under the AI and data act. It's bringing together academics with government and private sector experts to learn from experiences, perspectives and approaches.
I think it's that idea of being flexible, trying new things and really trying to stay perhaps just one step behind the advancement of the technology rather than the many steps that we are behind right now.