When a computer defeated world chess champion Garry Kasparov, many believed machines had become smarter than humans. But the real lesson was simpler: machines excel at closed-form problems, situations with clear rules, limited options, and defined outcomes.

In this episode of We Are the Machines, Dr. Deitra Sawh explores the difference between closed and open problems and why AI performs best when decisions are structured. From chess to corporate strategy, learn how framing the right problem can unlock smarter decisions, faster results, and better use of AI, without losing human ingenuity.

What do NHL playoff ads from the 1980s have in common with today’s sports betting apps? More than you might think.

In this episode of We Are the Machines, Dr. Deitra Sawh Ph.D. explores associative learning with the psychological process that shapes our habits and also powers many artificial intelligence systems.

From targeted ads and fraud detection to workplace automation, discover how machines learn patterns from human behavior.

We think we’re in control, but are we?

Listen in and start sounding like an AI rockstar.

In 2018, Canada changed the words to O Canada. Some Canadians still get it wrong.

That's not a memory problem. It's the same mechanism that powers ChatGPT, Claude, Copilot, and every large language model running inside your business right now.

In this episode, Dr. Deitra Sawh, Ph.D. uses one of the most familiar songs you know to explain exactly how AI generates language - and hands you two things you can use immediately: how to write prompts that actually work, and how to spot an AI-written resume in a hiring stack.

You'll walk away able to explain this to anyone.