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Artwork for Approximately Correct: An AI Podcast from Amii

Approximately Correct: An AI Podcast from Amii

Amii - Alberta Machine Intelligence Institute
Artificial Intelligence
Reinforcement Learning
Machine Learning
Large Language Models
Deep Learning
Medical Imaging
Creativity
Video Games
Computational Creativity
Healthcare
Continual Backpropagation
AI Research
Loss Of Plasticity
Natural Language Processing
Efficient Model Training
Continual Learning
AI In Gaming
Survival Prediction
Data Efficiency
Machine Translation

Approximately Correct: An AI Podcast from Amii brings you stories from the leading edge of artificial research. Go beyond the buzzwords to learn about the future of AI and machine learning from world-class researchers, leaders and thinkers. Hear the stories behind the science, meet the people advancing the technology and learn about AI's potential to transform our world. Whether you're an AI enthu... more

PublishesMonthlyEpisodes34Founded2 years ago
Number of ListenersCategory
Technology

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Artwork for Approximately Correct: An AI Podcast from Amii

Latest Episodes

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 lea... more

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 t... more

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... more

YouTube

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 revo... more

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Recent Guests

Kate Compton
AI and creative culture researcher with a background in video games and procedural content generation
Independent researcher / speaker
Episode: Why AI Needs to Stay Weird with Kate Compton | Approximately Correct Podcast
Jill Kowalchuk
Manager of AI literacy at Amii
Amii
Episode: Should AI be your Study Buddy? with Kowalchuk | Approximately Correct Podcast
Russ Greiner
Fellow at Amii, Canada CIFAR AI Chair
Amii
Episode: Amii Rewind: Can AI Predict Survival? With Russ Greiner - Dec. 2024
Glen Uhrig
Professor at the University of Alberta, studies plant biochemistry and genes and how AI can help plants grow
University of Alberta
Episode: Can AI Optimize Plants? With Glen Uhrig | Approximately Correct AI Podcast
Joelle Pineau
AI researcher; former head of Facebook AI Research; now Chief AI Officer at Cohere
Cohere
Episode: Why Every AI Lab Must Open Its Doors with Joelle Pineau | Approximately Correct Podcast
Michael Littman
Expert in reinforcement learning and Associate Provost of Artificial Intelligence at Brown University.
Brown University
Episode: Why AI isn’t as scary as you think with Michael Littman | Approximately Correct
Matthew Guzdial
An Amii Fellow and Canada C4 AI Chair at the University of Alberta specializing in computational creativity.
University of Alberta
Episode: Can AI Be Creative? With Matthew Guzdial
Mo Chen
Associate Professor at Simon Fraser University, CIFAR AI Chair
Simon Fraser University, Amii
Episode: Approximately Correct Live: How Do We Stop Robots From Running Us Over?
David Radke
Senior Data Scientist with the Chicago Blackhawks, focused on multi-agent systems and sports analytics.
Chicago Blackhawks
Episode: Hockey, AI, & the future of sports analysis with David Radke

Hosts

Alana Fish
Co-host of Approximately Correct
Scott Lowell
Co-host of Approximately Correct

Reviews

4.8 out of 5 stars from 28 ratings
  • Informative Podcast

    Great pod! Keeps me up to date with what’s going on in the space on my car rides.

    Apple Podcasts
    5
    burtpinkward
    Canada5 months ago
  • Great podcast!

    An excellent podcast to learn AI from the greatest minds!

    Apple Podcasts
    5
    rohansaha60
    Canada2 years ago

Listeners Say

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Quality conversations that balance theory and practical applications.
Informative podcast with thoughtful guest selections.
Great for AI enthusiasts who want deeper insights from researchers and practitioners.

Chart Rankings

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Apple Podcasts
#149
Canada/Technology

Talking Points

Recent interactions between the hosts and their guests.

Can AI Optimize Plants? With Glen Uhrig | Approximately Correct AI Podcast
Q: How did you first get involved with machine learning, and how has your understanding evolved?
Glen explains that practical exposure was initially limited, but collaboration and teaching rapidly deepened understanding; the emergence of large language models and their classroom impact further broadened how they teach and implement AI in plant science.
Can AI Optimize Plants? With Glen Uhrig | Approximately Correct AI Podcast
Q: Tell us about your lab broadly and how it connects biology with AI.
The lab studies diobiology, focusing on how plants sense light and regulate growth, then connects imaging and molecular data with machine learning to extract meaningful patterns and predictive signals for plant productivity.
Why Every AI Lab Must Open Its Doors with Joelle Pineau | Approximately Correct Podcast
Q: Do you think the AI community is trending toward more openness, or are there still significant barriers?
Pineau notes pivotal moments when openness proved feasible (e.g., Open Weights for Llama) and emphasizes the need for practical capacity, reproducibility, and certification approaches to accelerate safe, open deployment while addressing privacy and governance concerns.
Why Every AI Lab Must Open Its Doors with Joelle Pineau | Approximately Correct Podcast
Q: What is marginal risk and why is it important when releasing models?
She describes marginal risk as assessing specific risk vectors, like misinformation or impersonation, and measuring their prevalence with and without the model, then applying mitigations such as watermarking or other safety techniques before broader release.
Why Every AI Lab Must Open Its Doors with Joelle Pineau | Approximately Correct Podcast
Q: What made you think about taking the leap from academia to industry research at Facebook/Meta?
Pineau explains the shift as a response to the convergence of industry labs with more resources, compute, and multidisciplinary teams, which could enable larger-scale and more impactful research than academia offered at the time.

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

This show tends to feature deep dives with AI researchers, engineers, and industry leaders who explore both the technical and societal implications of artificial intelligence. Recurring topics include reinforcement learning, AI safety, robotics, AI in healthcare and sports analytics, and the human factors involved in deploying advanced systems. Episodes often highlight practical applications, research mentorship, and the ethics of scaling AI, making it a strong fit for listeners who want both conceptual understanding and real-world impact. A notable strength is its blend of academic rigor and industry insight, with guests who illuminate how AI ideas evolve from theory to practice and policy. Potential listeners will likely appreciate though... more

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2. Moonshots with Peter Diamandis
3. Hidden Brain

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this podcast launched 2 years ago and published 34 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Kate Compton
2. Jill Kowalchuk
3. Russ Greiner
4. Glen Uhrig
5. Joelle Pineau
6. Michael Littman
7. Matthew Guzdial
8. Mo Chen

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