Understand AI

Practical explanations for understanding AI and what it means in Canada.

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What is AI literacy, and why does Canada suddenly care?

It's not coding, and it's not for experts. A plain-language guide to the skill Canada just made a national priority.

AI for All, explained

Canada has a national AI plan now. Here's what's actually in it, in plain language — and what it does and doesn't mean for you.

AI at work: what to learn first

You don't need to become a programmer. You need a short, durable set of habits. Here's where to start — and what to skip.

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Saskatchewan’s Data Centre Framework, explained

Saskatchewan wants more AI data centres — but under principles covering Canadian control, electricity, sovereignty and local benefits. Here’s what that actually means.

AI agents and agentic AI, explained

Some AI tools give you answers. Others can use software and take action on your behalf. Here's how AI agents work, what makes them different, and why their permissions matter.

AI data centres in Canada, explained

AI data centres can draw enormous amounts of electricity, require cooling and reshape local infrastructure. Here’s how they work, why companies want to build them in Canada, and what they can mean for the communities that host them.

How to check AI answers and sources

AI tools can give clear, confident answers that are wrong, out of date or about the wrong place. Here’s why that happens, what a source really tells you, and five quick checks before you rely on an answer.

AI and jobs in Canada, explained

Will AI take your job? The answer depends on what you do, which tasks AI can handle, and how employers respond. Here's what Canadian evidence tells us about jobs, hiring and the skills that matter.

When governments use AI, who is accountable?

Governments in Canada use AI to sort applications, answer questions and support decisions. Here's what the rules say, who is responsible and what you can ask when a decision affects you.

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Build your understanding of AI one topic at a time.