How do we ensure AI makes safe choices? with Revan MacQueen | Approximately Correct Podcast

This AI doesn't replace jobs; it collaborates with human experts to get the job done.On this episode of Approximately Correct, we talk with Revan McQueen on the future of industrial control and AI's role in making it safer and better

Is it possible to make building a video game as easy as writing a story? What if artificial intelligence could be more than just a tool, and instead become a true creative partner?In this episode of Approximately Correct, we dive into computational creativity with Amii Fellow and Canada CIFAR AI Chair, Matthew Guzdial. We explore how AI is being developed to collaborate with artists and designers, breaking down the technical barriers that can stand in the way of a great idea. Learn about the future of human-AI collaboration, the philosophical questions behind AI art, and how research that starts with video games can end up solving problems in finance and even medicine.

How can we teach robots to safely navigate our unpredictable world?On this special live episode of Approximately Correct recorded at Upper Bound 2025, we talk with Mo Chen about combining classical and modern AI to create smarter, safer, and more robust robots.

Is AI this year's MVP? How is machine learning changing sports?On this episode of Approximately Correct, we talk with Chicago Blackhawks' David Radke about how machine learning is transforming the analysis of sports like hockey.

Could AI-powered ultrasounds save lives in remote areas? On this episode of Approximately Correct we talk with Dr. Jacob Jaremko about AI's revolutionary impact on medical imaging, particularly ultrasound technology, and its potential to transform healthcare.

In the latest episode of Approximately Correct, we’re taking the time to celebrate with Amii Fellow, Chief Scientific Advisor, and Canada CIFAR AI Chair Rich Sutton, newly-minted winner of the A.M. Turing Award, a prize that is often referred to as  the “Nobel Prize of Computer Science.”

Discover the secret to training AI with less data! On this episode of Approximately Correct, we talk with Amii Fellow and Canada CIFAR AI Chair Lili Mou about the challenges of training large language models and how his research on Flora addresses memory footprint concerns. 

AI-powered prosthetics are changing lives, but it takes more than just technology. In this episode, Amii Fellow and Canada CIFAR AI Chair is here to talk about the work going on in his lab designing AI controls for bionic limbs and explains the unique partnership between researchers and users that's creating AI learning that is made with humans in mind. Approximately Correct: An AI Podcast from Amii is hosted by Alona Fyshe and Scott Lilwall. It is produced by Lynda Vang, with video production by Chris Onciul.

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.

In this episode, reinforcement learning legend Rich Sutton argues the focus on non-continual learning over the past 40 years is now holding AI back. Listen to one of the leading minds in machine learning explain what needs to change.  Approximately Correct: An AI Podcast from Amii is hosted by Alona Fyshe and Scott Lilwall, produced by Lynda Vang, with video production by Chris Onciul