Approximately Correct: An AI Podcast from Amii

In just five years, Upper Bound has grown from a 400-person birthday party to one of Canada’s largest AI-centred events, drawing in thousands of people each year.  But it isn’t the only thing that has changed: the way we talk about and use machine learning is also completely different in 2026.

On the latest episode of Approximately Correct, Stephanie Enders joins to discuss how the conversation around AI has shifted in recent years.

The latest episode of Approximately Correct, we're joined by Kate Compton.
Kate is an expert in generative AI, an artist, and a self-described “weird futurist.” She’s long been fascinated by creativity, and how people use digital tools to express themselves.
She joins Alona Fyshe and Scott Lilwall to talk about the time when AI was small, strange and shareable, and explains why we need to keep that energy going to allow people to use it as a creative tool.

Class is back in session: this month, we're catching up again with Jill Kowalchuk to talk about the monumental shifts in AI and education over the past couple years.

As Amii's Manager of AI Literacy, Jill has seen the way that students and educators have dealt with the introduction of AI in the classroom, both the opportunities and the pitfalls. She talks with hosts Alona Fyshe and Scott Lilwall about how AI means we need to rethink the way we evaluate learning, and how she sees AI as less than a tool and more of a "thought partner."

We’re taking a bit of a break this month, so no new episode of Approximately Correct. Instead, we wanted to revisit one of our favourite episodes from the past year. So let’s talk survival prediction with Russ Greiner. 
How can machine learning revolutionize healthcare? In this episode, Amii Fellow and Canada CIFAR AI Chair Russ Greiner explores how AI is transforming survival prediction, giving doctors and patients personalized health insights that were never before possible. From creating tailored survival curves to improving treatment decisions, Greiner reveals the groundbreaking potential of AI in medicine.

Ever wonder what exactly plants get up to all day? It’s much more than just sitting around to soak up the sun. Now, machine learning is helping to unlock the mysteries of how plants change over the course of a day, and the impact it could have on how we grow our food.
Biochemist  Dr. Glen Uhrig joins hosts Alona Fyshe and Scott Lilwall to talk about how his lab is using machine learning to study how plants grow in different lighting conditions of the course of the day. This could lead to applications with big impacts for indoor farming in northern climates, and perhaps even feeding astronauts during space missions. Listen to discover the potential that artificial intelligence has in advancing scientific research in biochemistry, agriculture, and other fields.