I was just about to bring up all the work that was done on discoverability. It's as though it had suddenly been forgotten—because AI is a complete game changer in terms of structured and unstructured data—but that's the whole problem with discoverability.
We've trained our organizations to teach their members how to understand structured data in order to strengthen the discoverability of French-language content on online platforms. All of a sudden, we're facing new challenges related to artificial intelligence and we're unable to respond to them. That's why we're emphasizing the need to continue the digital literacy training we've offered within our network—precisely to keep pace with these technological advances and innovation.
What I find interesting about today's discussion is the issue of whether Canada is lagging behind. The answer is yes. I'm not going to go back over all the elections that led to Bill C‑10 and Bill C‑27 being on a sinking ship, but we may still have Bill C‑11, which remains afloat. What I mean to say is that we are lagging, and this legislative uncertainty is causing tension and distrust of artificial intelligence. I find it very interesting that, as soon as we tease Meta and Facebook representatives a bit on certain topics, they tell us that they have open-source code models. That's great, and we're working with those types of models.
I'd like to tell you about the Culturepedia project, the first social trust for cultural data management. We've brought our members together to work on this platform within a fairly innovative legal framework. Having a social trust for virtual data is quite innovative. The idea was precisely to create a protected and sovereign legal environment in which data can be uploaded to train members of cultural organizations to work with data, taking into account data interoperability, which is very complicated.
At the beginning, I spoke about the need to work with structured data because of large language models. We pitted open-source models, namely Llama and Gemini, against each other. We had them work on organizational data, structured data, and unstructured data to begin analyzing the effects of our artistic and cultural work on our communities and the country. However, we are in the early stages. It is really just a prototype.
The difficulty with an initiative like the digital band, which has helped our members embrace the concepts of digital literacy for three years, arises when budget cuts occur. This means that our momentum in training, awareness and digital maturity is being cut short at a time when we should be ramping up our efforts and when the complexity of evidence management is being disrupted. We absolutely need to strengthen our capacity to work with that data and help our members understand those concepts.
Personally, I look forward to having Canadian open source models governed by clear legislation that addresses threats or concerns. We would then be in a protected environment, a sovereign country, where we would work with models, computing power and infrastructure that would allow us to store data here at home.