Canada's will hear from some speakers today is actually in a very strong position to lead on this front both both on the the basic underlying research but also I think in some of the broader public policy and societal applications of this technology part of what what we're here to do is to try and start to understand what those applications may be what the risks may be but also what the what the benefits are and something that we've been looking at for a while in partnership with Brookfield with other outside partners in with different ministries are the potential impacts that disruptive technologies like AI can have on public policy this is a big shift and it's basically one where we're moving from thinking about using computers to automate tasks that seem to be intelligent in a way that requires formal rules ones we're basically inducing knowledge out of vast domains of data you know governments have tremendous amounts of data and a lot of that's unstructured we need some of these tools to help us sort of sort find and understand what we have and how to make better policy decisions and governments around the world are starting to ask the questions of what does it mean for our governments our delivery of services to our citizens and what does AI mean to society at large so in a world where policy decisions are really increasingly data-driven what counts and who counts and how those people are counted really matters there's a huge spectrum from early support and understanding all the way through recognizing that there could be impacts that are very hard to foresee at the beginning and dialogues like this are a great way for us to explore that whole spectrum