Want to hear the real story about AI?
Approximately Correct, the AI podcast by Amii, cuts through the noise. We bring you lively, in-depth conversations featuring world-leading researchers and industry experts working at the forefront of machine intelligence.
Each episode, we explore the science behind artificial intelligence, explain the latest breakthroughs, and learn the real-world challenges that AI is addressing.
Go beyond the buzzwords and hear the stories behind the science, meet the people advancing technology, and learn about AI’s potential to transform our world from the people on the ground.
Or, grab our RSS feed.
Meet the Hosts
Alona Fyshe
Alona is a celebrated AI researcher who combined her interest in machine learning and neuroscience to study the way the human brain processes language. She is an Assistant Professor at the University of Alberta, a Fellow at Amii, and a Canada CIFAR AI Chair.
Scott Lilwall
Scott is Amii's scientific communicator, with experience in science journalism and documentary. His work has appeared on CBC Radio, the Globe and Mail and other outlets.

Our Latest Episode
What happens when you give an economics final to ChatGPT?
On a special episode of Approximately Correct, filmed live at Upper Bound 2026, we're joined by Canada CIFAR AI Chair Kevin Leyton-Brown.
His work focuses on the underexplored intersection of machine learning and microeconomics — two fields that might seem wildly different, but have a lot in common.
Tune in for a wide-ranging discussion on multi-agent systems, the reasoning abilities of LLMS, and how AI is a crucial part of Canada’s economic future.
Previous Episodes
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