Thank you for your question. It's very important to our government and to me.
The adoption of artificial intelligence in Canada has to reflect our foundational principles of linguistic duality and bilingualism, ensuring that any type of tech progress we have—and this is why we say AI for all—reinforces the equal status of French and English.
That's why we're embedding bilingualism and culturally representative data as core governance rules. That's really important. We're ensuring that Canadian AI systems are trained.... I don't want to get too technical, but the datasets they train on have to be in both languages.
By the way, we're working on programs for indigenous languages also, because it's very important to have large datasets of indigenous languages. I've spoken to the Premier of Manitoba about this, as we look for ways to make sure that it's not just in French and English.
It's very important. Indigenous languages are involved as well.
It is very important that we have large datasets there. There's work to be done there for sure, but we have to understand our regional realities, and we have to reflect our cultural context so we have fair, trustworthy outcomes.
Let me just say that because of the Official Languages Act, government technology is always deployed and guaranteed to have full equality and to adhere very strictly to the Official Languages Act to make sure it's inclusive. Let me give you one example from la belle province. In Quebec, the Information and Communications Technology Council—the ICTC—and Mila have entered into a learning partnership to help Canadian students and workers build technical, ethical and governance skills to thrive in the AI economy, making sure that we have equity and absolutely the two official languages.